#“product identification on amazon”

[rebeccathenaturalist]

Okay, y'all, it's rant time again. Buckle up.

A new report just came out from Public Citizen highlighting the dangers of using apps and AI foraging guides for identifying mushrooms, particularly when mushroom foraging. It's the latest in a string of warnings that are fighting against a tide of purported convenience ("just take a picture and get your answer instantly!")

I've ranted about this since last August, and I also wrote up a detailed post on how to identify an AI-generated foraging guide. I'm also including info on the limitations of apps and AI in The Everyday Naturalist: How to Identify Animals, Plants, and Fungi Wherever You Go. I'm not just saying this to toot my own horn--it's because nature identification, and teaching it to others, is literally what I do for a living. So this is a topic near and dear to my heart.

I teach a very, very specific sort of identification class; whether we're focusing on animals, plants, fungi, or all of the above, I walk people through a detailed process of how to observe a given organism, make note of its various physical traits and habitat, and use that information to try to determine what it is. I emphasize the need to use as many sources as possible--field guides, websites, online and in-person groups, journal articles, etc.--to make absolutely sure that your identification is solid.

And every year, I get people (thankfully, a very small minority of my students) who complain because my two-hour basic mushroom hunting class wasn't just five minutes of introduction and one hundred and fifteen minutes of me showing slide after slide of edible mushrooms. There are so many people out there who just want a quick, easy answer so they can frolic in the woods and blithely pick mushrooms like some idealized image of a cottagecore herbalist with a cabin full of dried plants and smiling frogs or something.

While I do incorporate a bit of information on getting started with the app iNaturalist in my classes, it is as only ONE of MANY tools I encourage people to use. Sure, it's more solid than most apps because, in addition to the algorithmic I.D. suggestions it initially gives you, other iNaturalist users can go onto your observations later and either agree with your I.D.s or suggest something different and even explain why.

And yet--even as great as iNat is, it and its users can still be wrong. So can every other I.D. app out there. And I think that is one thing that the hyper-romanticized approaches to foraging--and nature identification in general--miss. In order to be a good forager, you HAVE to also be good at nature identification.

And nature identification is an entire process that requires you to have solid observational and critical thinking skills, to be able to independently research using many different types of tools, and be willing to invest the time, patience, and focus to properly arrive at a solid identification--if not to species level, then as far down the taxonomic ladder as you can realistically manage. (There's a reason even the experts complain about Little Brown Mushrooms and Damned Yellow Composites!)

People mistake one single tool--apps--for the entire toolkit. They assume any book they find on Amazon is going to be as good as any other, and don't take the time to look up the author to determine any credentials or experience, or even whether they actually exist or not. It doesn't help that the creators of these products often advertise them as "the only [book/app/etc.] you need to easily identify [organism of choice]!"

I mean, sure, the world isn't going to end if you never question the birdsong results on the Merlin app, or if you go through life thinking a deer fern is just a baby western sword fern. But when we get into people actually eating things they find in the wild, there's often no room for error. There are plants and mushrooms that can kill you even if you only eat a tiny amount. And even if they don't kill you, they may make you wish you were dead for a few days while you suffer through a whole host of gastrointestinal nastiness and other symptoms.

There aren't any shortcuts if you want to be safe in your foraging. You HAVE to be willing to do the work. And any teacher, author, or product that says otherwise isn't being ethical. I'm glad to see more people speaking out against the "fast foodization" of foraging in regards to overreliance on apps and the existence of AI foraging books; I just hope it's enough to prevent more people from getting sick or dying.

[citronellea]

My Purse Essentials 4 Fall/Winter

Did anyone ask for this? No, but if I can just help out one person, it's totally worth it ! :3

Lets get to it !

1) Medicine. You never know when you'll need it ! I carry it all in a little My Melody pillbox and refill it when needed.

Advil, Dramamine, and Allegra.

2) Hand/Nail care ! Especially during these colder months, it's important to keep your hands and cuticles hydrated to avoid flaking and sometimes even cracking. It runs in my family :/

Peach scented cuticle oil and hand & cuticle lotion. (The crème shop is the best imo ! and all their products are cute, too!)

Glass nail file. Better than normal nail files and breakage is less likely to occur. I have a Hello Kitty one I got from Miniso for $5 !

3) Self defense. The world is a scary place and unfortunately a girl's gotta defend herself somehow !

Knife from a local store here ! But amazon has lots of affordable options too !

4) Hygiene products ! It's important for me, personally, to always feel clean. If I feel all icky my mood starts getting icky too.

Spare pad, spare panty liner, baby wipes, and hand wipes incase my hands get sticky from food or anything like that.

Bathroom spray ! I got a travel sized poo-pourri spray in the stocking stuffers aisle at Target !

A small pack of Extra gum, just incase I'm out and about and I just ate somethin stinky. I actually recommend the popular TikTok gum thats made with natural minerals that clean your teeth and keep your breath fresh ! I'm saving up for some with my boyfriend , but Ive seen outstanding reviews ! :0

5) Beauty products ! If you're like me, you wear makeup fairly often, even if it's just something as simple as some eyeliner.

e.l.f. jet black liquid eyeliner, just in case mine smudges or starts to fade. this isnt usually an issue in the colder seasons, but it's still good to be prepared !

chapstick and lipgloss ! its extremely important now of all times to keep your lippies hydrated!

KISS nail glue, incase my nails pop off from doing stuff at work lol. I dont go anywhere without this, you wont catch me missing a nail !

6) My wallet and identification, obviously!

BRING YOUR ID EVERYWHERE WITH YOU ! im sure some people are like, elle, thats common sense. but until i was 18 i would forget my ID or not bring it on purpose as I was scared to lose it lmao. do not be like younger me. you never know when you'll need it.

And finally, thats the end of it! I may update this in the future, but I hope this is helpful to anyone ! Thx for reading hehe ദ്ദി ˉ͈̀꒳ˉ͈́ )✧

[govindhtech]

NVIDIA AI Workflows Detect False Credit Card Transactions

A Novel AI Workflow from NVIDIA Identifies False Credit Card Transactions.

The process, which is powered by the NVIDIA AI platform on AWS, may reduce risk and save money for financial services companies.

By 2026, global credit card transaction fraud is predicted to cause $43 billion in damages.

Using rapid data processing and sophisticated algorithms, a new fraud detection NVIDIA AI workflows on Amazon Web Services (AWS) will assist fight this growing pandemic by enhancing AI’s capacity to identify and stop credit card transaction fraud.

In contrast to conventional techniques, the process, which was introduced this week at the Money20/20 fintech conference, helps financial institutions spot minute trends and irregularities in transaction data by analyzing user behavior. This increases accuracy and lowers false positives.

Users may use the NVIDIA AI Enterprise software platform and NVIDIA GPU instances to expedite the transition of their fraud detection operations from conventional computation to accelerated compute.

Companies that use complete machine learning tools and methods may see an estimated 40% increase in the accuracy of fraud detection, which will help them find and stop criminals more quickly and lessen damage.

As a result, top financial institutions like Capital One and American Express have started using AI to develop exclusive solutions that improve client safety and reduce fraud.

With the help of NVIDIA AI, the new NVIDIA workflow speeds up data processing, model training, and inference while showcasing how these elements can be combined into a single, user-friendly software package.

The procedure, which is now geared for credit card transaction fraud, might be modified for use cases including money laundering, account takeover, and new account fraud.

Enhanced Processing for Fraud Identification

It is more crucial than ever for businesses in all sectors, including financial services, to use computational capacity that is economical and energy-efficient as AI models grow in complexity, size, and variety.

Conventional data science pipelines don’t have the compute acceleration needed to process the enormous amounts of data needed to combat fraud in the face of the industry’s continually increasing losses. Payment organizations may be able to save money and time on data processing by using NVIDIA RAPIDS Accelerator for Apache Spark.

Financial institutions are using NVIDIA’s AI and accelerated computing solutions to effectively handle massive datasets and provide real-time AI performance with intricate AI models.

The industry standard for detecting fraud has long been the use of gradient-boosted decision trees, a kind of machine learning technique that uses libraries like XGBoost.

Utilizing the NVIDIA RAPIDS suite of AI libraries, the new NVIDIA AI workflows for fraud detection improves XGBoost by adding graph neural network (GNN) embeddings as extra features to assist lower false positives.

In order to generate and train a model that can be coordinated with the NVIDIA Triton Inference Server and the NVIDIA Morpheus Runtime Core library for real-time inferencing, the GNN embeddings are fed into XGBoost.

All incoming data is safely inspected and categorized by the NVIDIA Morpheus framework, which also flags potentially suspicious behavior and tags it with patterns. The NVIDIA Triton Inference Server optimizes throughput, latency, and utilization while making it easier to infer all kinds of AI model deployments in production.

NVIDIA AI Enterprise provides Morpheus, RAPIDS, and Triton Inference Server.

Leading Financial Services Companies Use AI

AI is assisting in the fight against the growing trend of online or mobile fraud losses, which are being reported by several major financial institutions in North America.

American Express started using artificial intelligence (AI) to combat fraud in 2010. The company uses fraud detection algorithms to track all client transactions worldwide in real time, producing fraud determinations in a matter of milliseconds. American Express improved model accuracy by using a variety of sophisticated algorithms, one of which used the NVIDIA AI platform, therefore strengthening the organization’s capacity to combat fraud.

Large language models and generative AI are used by the European digital bank Bunq to assist in the detection of fraud and money laundering. With NVIDIA accelerated processing, its AI-powered transaction-monitoring system was able to train models at over 100 times quicker rates.

In March, BNY said that it was the first big bank to implement an NVIDIA DGX SuperPOD with DGX H100 systems. This would aid in the development of solutions that enable use cases such as fraud detection.

In order to improve their financial services apps and help protect their clients’ funds, identities, and digital accounts, systems integrators, software suppliers, and cloud service providers may now include the new NVIDIA AI workflows for fraud detection. NVIDIA Technical Blog post on enhancing fraud detection with GNNs and investigate the NVIDIA AI workflows for fraud detection.

Read more on Govindhtech.com

[roveinstyle]

Pet Essentials: Must-Have Items for Your Furry Friends

When it comes to our pets, we want to give them the best care possible. Ensuring that our furry companions are happy and healthy requires some essential items. Whether you have a cat or a dog, there are key products that can make a world of difference in their day-to-day lives. Let's dive into some pet must-haves, from cozy beds to tasty treats.

1. Quality Cat Food & Dog Food

One of the most important essentials for both cats and dogs is their food. Selecting high-quality cat food ensures that your feline gets the nutrients they need to maintain a healthy coat, strong muscles, and plenty of energy. Similarly, choosing the right dog food is essential for promoting longevity and vitality in dogs. Look for options rich in protein, low in fillers, and suited for your pet's specific age, breed, and health needs.

2. Comfortable Dog Bed

A cozy dog bed provides your pup with the perfect place to rest. Dogs love having a dedicated spot to curl up, especially after a long day of play. Orthopedic beds are great for older dogs, offering extra support for joints. For puppies, beds with soft padding and easy-to-clean materials are ideal.

3. Fun and Functional Cat Tree

Multi-Level Cat Tree on Amazon

Cats love to climb, scratch, and survey their kingdom from above. A cat tree is a multi-functional piece that caters to all of these needs. Look for a sturdy structure with multiple levels, scratch posts, and cozy hideaways where your cat can retreat when they want some privacy. A good cat tree will also keep your furniture safe from scratch marks!

4. Interactive Cat Toys and Dog Toys

Toys are a crucial part of any pet's life, offering not only entertainment but also mental stimulation. For cats, interactive toys like feather wands, balls, or puzzle toys can keep them engaged for hours. Dog toys, on the other hand, can range from chew toys to fetch toys and puzzle toys that challenge their brains. Rotating toys regularly helps keep pets interested and excited about playtime.

5. Durable Dog Collar

A good-quality dog collar is essential for both identification and leash training. Opt for a collar that is sturdy, adjustable, and comfortable for your dog. Make sure the collar has a spot for your dog's ID tag with updated information, including your phone number and your pet's name.

6. Tasty Dog Treats

Dog treats are a great way to reward good behavior, especially during training sessions. They can also be a fun way to bond with your dog. Choose healthy treats with natural ingredients and avoid options with too much sugar or artificial additives. Freeze-dried meat or dental chews are great choices that also benefit their health.

7. Cat Water Fountain

Cats tend to be finicky about their water, and some might not drink enough from a regular bowl. A cat water fountain encourages cats to stay hydrated by offering a continuous flow of fresh water. Not only does this keep the water clean, but it also attracts cats to drink more, which is essential for their kidney health.

Providing these essentials will not only ensure your pets are comfortable but also promote their physical and mental well-being. Whether it's a new dog bed for restful nights or a fun cat tree to climb, each item plays a part in keeping your furry friends happy, healthy, and entertained.

[lucas-henry]

Forget ChatGPT | Other Mind Blowing  AI Tools

Image: Freepik

In the ever-evolving world of technology, artificial intelligence (AI) has become an integral part of our lives. From virtual assistants to chatbots, AI is transforming the way we interact with digital solutions. While ChatGPT is a well-known language model that has garnered a lot of attention, there are many other mind-blowing AI tools that digital agencies can explore to enhance their digital solutions.

Digital agencies are in the business of providing comprehensive digital solutions to their clients. This includes everything from website development to social media management. By leveraging AI, digital agencies can improve the efficiency and effectiveness of their services, ultimately providing better results for their clients. 

Let's explore some other AI tools that digital agencies can use beyond ChatGPT.

IBM Watson

IBM Watson is an AI-powered system that can analyze unstructured data, such as text, images, and videos, to provide insights and recommendations. This tool can be used to automate many tasks, such as customer service and content creation, and can help digital agencies improve their efficiency.

For example, digital agencies can use IBM Watson to analyze social media posts and determine which ones are generating the most engagement. This can help them identify trends and create content that is more likely to resonate with their audience.

Google Cloud Vision

Image: Unsplash

Google Cloud Vision is an AI-powered image analysis tool that can detect objects, faces, and text in images and videos. This tool can be used to automate many tasks, such as tagging and categorizing images, and can help digital agencies improve their image and video analysis capabilities.

For example, digital agencies can use Google Cloud Vision to analyze images and videos on social media to determine which ones are generating the most engagement. This can help them identify trends and create content that is more likely to resonate with their audience.

Amazon Polly

Amazon Polly is an AI-powered text-to-speech service that can convert text into lifelike speech. This tool can be used to automate many tasks, such as creating voice overs for videos, and can help digital agencies improve their content creation capabilities.

For example, digital agencies can use Amazon Polly to create voice overs for explainer videos, which can help them better communicate complex ideas to their audience.

TensorFlow

TensorFlow, an open-source AI library created by Google, is an excellent resource for building and training machine learning models. With its automation capabilities, this tool can streamline several tasks, including data analysis and predictive modeling, making it an invaluable asset for web development agencies looking to enhance their data analysis capabilities.

Image: Freepik

For example, digital agencies can use TensorFlow to build predictive models that can help them identify which social media posts are likely to generate the most engagement. This can help them create more effective social media campaigns.

Hootsuite Insights

Hootsuite Insights is an AI-powered social media analytics tool that can help digital agencies monitor and analyze social media conversations. This tool can be used to automate many tasks, such as sentiment analysis and trend identification, and can help digital agencies improve their social media management capabilities.

Image: Hootsuite

For example, digital agencies can use Hootsuite Insights to monitor social media conversations about their clients' brands and products. This can help them identify areas where their clients can improve their marketing efforts and create more effective social media campaigns.

Conclusion

In conclusion, while ChatGPT is an impressive AI tool, digital agencies have many other options to explore. By leveraging AI tools like IBM Watson, Google Cloud Vision, Amazon Polly, TensorFlow, and Hootsuite Insights, digital agencies can improve their digital solutions and provide better results for their clients. As AI continues to evolve, we can expect to see even more innovative and exciting applications of this technology in the digital agency industry.

[arctic-hands]

[Image Described: first image: An Amazon listing for the book "Children Of A Future Age: To Hunt A Demon (Vampires & Wolves". It's listed author is simply Plush Books. Second image: a page of Amazon's report system, with the questions "Are you the rights owner or agent?" (marked "Rights Owner"), below that is the statement "The primary complaint pertains to" then a drop-down menu that is selected as "copyright-concerns - unauthorized used of copyright material such as text, photos, product designs, v..." it trails off, then another statement is "The specific concern is" with a drop-down menu selected as "the product or its packaging pirated (wholesale copying of the copyright product or packaging", then followed by the statement "Name of Brand" in which space you put the name of the story or fic, then "Please provide one of the following: A written description of the copyright works" [leave this field blank] "OR: A link to the copyrighted work [insert the link to your story here]" This is followed by "Copyright registration # (Optional)", which in this screencap has been left blank.

Third image: a box for "Additional Information", the box has been filled in with "I am the author of this work, which has been copied and and is being sold without my permission. I originally published this story in [date/year] on the fanfiction archive [name of site], and I have provided a link above. I can provide screenshots proving I am the owner of the account that originally posted this story." Then there's a box labeled "The ASIN (Amazon Standard Identification Number) or the URL of each product you are reporting. You can report up to fifty products for the same specific concern in 1 form. If you have different concerns to report, please submit 1 form for each concern." The box has been filled in with "[post ten-digit number from URL here]".

Fourth image: a screencap of the listing's URL, with the last ten characters, in this case "B0BNXLSPC3", underlined. End I.D.]

@avaantares for clarification do you mean "digits" or "characters"? Because I at least normally associate the word with numbers only, and there's more than numbers in the underlined part of the URL.

Fanfiction Authors: HEADS UP

(Non-authors, please RB to signal boost to your author friends!)

An astute reader informed me this morning that one of my fics (Children of the Future Age) had been pirated and was being sold as a novel on Amazon:

(And they weren't even creative with their cover design. If you're going to pirate something that I spent a full year of my life writing, at least give me a pretty screenshot to brag about later. Seriously.)

I promptly filed a DMCA complaint to have it removed, but I checked out the company that put it up -- Plush Books -- and it looks like A LOT of their books are pirated fic. They are by no means the only ones doing this, either -- the fact that """publishers""" can download stories from AO3 in ebook format and then reupload them to Amazon in just a few clicks makes fic piracy a common problem. There are a whole host of reasons why letting this continue is bad -- including actual legal risk to fanfiction archives -- but basically:

IF YOU ARE A FANFIC AUTHOR WITH LONG AND/OR POPULAR WORKS, PLEASE CHECK AMAZON TO SEE IF YOUR STORIES HAVE BEEN PIRATED.

You can search for your fics by title, or by text from the description (which is often just copied wholesale from AO3 as well). If you find that someone has stolen your work and is selling it as their own, you can lodge a DMCA complaint (Amazon.com/USA site; other countries have different systems). If you haven't done this before, it's easy! Here's a tutorial:

HOW TO FILE A COPYRIGHT COMPLAINT FOR STOLEN WORK ON AMAZON.COM:

First, go to this form. You'll need to be signed into your Amazon account.

Select the radio buttons/dropdown options (shown below) to indicate that you are the legal Rights Owner, you have a copyright concern, and it is about a pirated product.

Enter the name of your story in the Name of Brand field.

In the Link to the Copyrighted Work box, enter a link to the story on AO3 or whatever site your work is posted on.

In the Additional Information box, explain that you are the author of the work and it is being sold without your permission. That's all you really need. If you want, you can include additional information that might be helpful in establishing the validity of your claim, but you don't have to go into great detail. You can simply write something like this:

I am the author of this work, which is being sold by [publisher] without my permission. I originally published this story in [date/year] on [name of site], and have provided a link to the original above. On request, I can provide documentation proving that I am the owner of the account that originally posted this story.

In the ASIN/ISBN-10 field, copy and paste the ID number from the pirated copy's URL. You'll find this ten-digit number in the Amazon URL after the word "product," as in the screenshot below. (If the URL extends beyond this number, you can ignore everything from the question mark on.) Once this number has been added, Amazon will pull the product information automatically and add it to the complaint form, so you can check the listing title and make sure it's correct.

Finally, add your contact information to the relevant fields, check the "I have read and accept the statements" box, and then click Submit. You should receive an email confirmation that Amazon has received the form.

Please share this information with your writer friends, keep an eye out for/report pirated works, and help us keep fanfiction free and legally protected!

NOTE: All of the above also applies to Amazon products featuring stolen artwork, etc., so fan artists should check too!

[cevioustech]

The Future of Intelligence: Exploring the Transformative Power of Cloud AI

The world is now a global village, and this is where artificial intelligence (AI) comes in; the intelligent tools that run our daily activities from voice commands to recommendation. Yet, there are numerous organisations and individuals using AI and wishing to do it in future experience various problems such as high levels of infrastructure requirements, need to have specialists in this area, and problems with scaling the processes. And that is where Cloud AI enters a game — a new paradigm of AI as a service that doesn’t require the scale of investments like it used to. Well, what is Cloud AI and why is it revolutionising the way we can regard intelligence? Let’s dive in.

Understanding Cloud AI

In its basic definition, cloud AI is the means of obtaining AI solutions and tools through the usage of cloud solutions. This means that Cloud AI doesn’t need dedicated on-site hardware or a group of data scientists to train models and make AI available to everyone with internet access. Some of the readily available powerful AI tools available in the market are Google Cloud AI, Amazon Web Service AI, Microsoft Azure AI and IBM AI which have simpler forms as API that can be integrated to the systems irrespective of the technologist level of the organization.

Why Cloud AI is a Game Changer

There are three key reasons why Cloud AI is transforming the landscape:

Cost-Effectiveness: Classic AI systems are tremendously computationally intensive which in turn requires large investments in hardware. With Cloud AI, one only pays for the service they employ thus making it affordable. Cloud providers take care of all the issues regarding the hardware and software—no need to worry about it, security and system upgrades included.

Scalability: Whether the user is a small, scrappy startup testing the waters with deep learning, or an established enterprise with millions of users to manage, Cloud AI can be easily scaled up or down to meet the particular user’s needs. It enables organizations to introduce products and services to the market with a level of efficiency that does not consider infrastructure bottlenecks.

Accessibility: One of the major challenges that the adoption of AI has faced is that, it has been realized that it requires expertise. Cloud AI provides ways for adopting complex and powerful AI solutions and pre-configured AI solutions for individuals who do not have programming skills.

Key Applications of Cloud AI

The versatility of Cloud AI is vast, touching numerous industries and transforming business processes. Here are some of the most impactful applications:

Machine Learning (ML) Models

Most AI technologies rely on some form of machine learning, yet constructing and training our models is challenging. Various services that work in the cloud have built-in pre-trained AI models that can be returned as necessary. For instance, when using the Google Cloud, AutoML gives clients an opportunity to create new models for different tasks such as image and text classification through interface, and not through coding. This has ensured that new and small businesses seeking to adopt ML for operations such as customer classification, risk management, and recommendation, can easily do so.

Natural Language Processing (NLP)

It involves Text analysis and Speaking and understanding the language of Humans by The machines. At present, cloud AI services provide dependable NLP tools; thus business solutions enable the components for language translation, sentiment analysis, and text summarization. As applied to customer service this is really helpful – one can think of self-learning chatbots that can handle questions or even analyze customer feedback in the hope of enhancing user satisfaction.

Computer Vision

That way, with Cloud AI, companies can take advantage of such technologies, like computer vision, with less expenses in infrastructure. The main areas of use are face identification, object recognition, as well as video analysis at a higher level. For instance, AWS has an AI service named Rekognition that deals with Images and videos to determine objects, text within images among others. Some of the applications of computer vision include in the retail business, the healthcare business, security firms and even in the creation of concepts that make more personalized customers’ touch points.

Speech Recognition

Speech to text has really evolved and thanks to Cloud AI, it is provided as a service which means its more accessible. Speech recognition can make information from voice and audio transcribed and written text which is helpful for the disabled user and new interfaces. Google Cloud Speech-to-Text for instance is popular for converting audio to text enabling many, from voice assistants to a customer care transcribing service.

Data Analysis and Business Insights

The real-time capability of Cloud AI allows data of large quantities to be run through and analyzed. This capability assists businesses to analyze their data in ways that make it easier to know trends, make analyses on the abnormalities, and make concrete decisions based on the outcome. For example, Cognitive Services of the Microsoft Azure offer analytical tools that may help companies to analyze customer actions, define better prices for their goods and services, or avoid possible inefficiencies.

Benefits of Cloud AI for Businesses

Cloud AI bears several significant benefits that many enterprises will find particularly appealing as the world becomes increasingly reliant on technology.

Speed and Agility: Using Cloud AI, organizations can put in place intelligent solutions faster and are able to follow shifting market demands faster than before. That is why, such sectors as retail companies can employ Cloud AI to analyze customer data and to start precise marketing campaigns during several days.

Data Security and Compliance: Cloud providers still use high measures to steer clear of the international laws of the handling of information, it’s safer for companies to handle sensitive details. They also afford methods for the anonymisation and encryption of data, which can also be useful on their own.

Innovation Opportunities: Cloud AI enables companies to test out new business models without high costs of initial investments associated with these ideas. The applied AI allows firms to iron out any problems that it might possess and develop its potential before investing a great deal of money in it.

Enhanced Customer Experiences: Advancement in artificial intelligence works towards making communications personalised and automated hence enhancing the satisfaction of the customer. For example, such features as proper searching and filtering of the required information and the ability to create intelligent and friendly chatbots can help clients to feel unique, and thus are favorable for the brand.

Challenges and Future of Cloud AI

In the same breath, Cloud AI comes with its own challenges as we will discuss before introducing more information about this AI. Security concerns have not disappeared, and data protection is still a hot issue as more and more businesses collaborate with third parties to store and process their data. Thanks to regulations such as the GDPR coming into play, cloud providers are constantly thinking about compliance, yet, businesses cannot simply rely on such providers to do all the work for them. Another problem is the “lock-in” situation when changing a provider or moving the data becomes painful. To this end, to avoid sticking to one provider, many businesses are using multiple clouds services in different situations. In the next paradigm, the Cloud AI will also have promising growth in the days to come then concepts such as quantum computing, edge IA, and federated learning. These advances will further strengthen Cloud AI and increase its adaptability and security – and open up new opportunities for every industry.

Conclusion

Cloud AI is revolutionizing the capabilities of enterprises and is leading to the mainstream availability of the most sophisticated tools. Cloud AI has a myriad of applications including the training of deep learning models, enhancing customer experience through NLP, among others, that are helping companies deliver technological advancements at higher rates than ever before. This means that as the new generations of AI technologies emerge, the concept of Cloud AI will be instrumental in designing the new world where intellect will be an open resource. To stay relevant and on top of competition, Cloud AI must function as not just a strategy, but an imperative for enterprises. With Cloud AI, companies – no matter if they are a startup or an enterprise – can leverage their data to its full extent and provide their clients with meaningful insights about the world around them. Now is the right time to engage with Cloud AI.

For more information visit = https://cevious.com/

[scallence]

Barcodes play a crucial role within Amazon to facilitate product identification, tracking, and management. If you’re a seller involved in Amazon’s fulfillment by Amazon (FBA), the FNSKU code Amazon provides is a godsend. FNSKU (Fulfillment Network Stock Keeping Unit) is a special code with an individual number for every selling point, making a regular bar-code system to sort products and handle the delivery. Amazon-specific barcodes ensure the products are associated with the correct seller’s account to ease the fulfillment process. In this guide, you will learn all there is to know about the FNSKU code Amazon and how to effectively apply it on the Amazon barcodes.

[atplblog]

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How to Use Backend Search Terms to Boost Your Amazon Rankings in 2024

In the highly competitive world of Amazon selling, one of the best ways to improve your product’s visibility is by optimizing your backend search terms. These hidden keywords don't appear on the front end of your listing but play a significant role in how Amazon ranks your product in search results. In 2024, Amazon’s algorithms continue to evolve, making it crucial for sellers to stay ahead of the curve by mastering backend search terms. Here's how to use them effectively to boost your rankings and drive more organic sales.

Improve Organic Sales on Amazon

Organic sales come from users finding your product through search without paid ads. To succeed, your listing must be optimized for search engines — both on the front end (title, bullet points, and description) and on the backend (search terms). Backend search terms are a critical element in this optimization, and when used correctly, they can significantly boost your product’s visibility.

New Amazon Backend Search Terms Limit

Amazon has set a limit on backend search terms, so it’s essential to use this space wisely. For 2024, the limit stands at 249 bytes. That means sellers must carefully choose the most relevant keywords that will maximize ranking potential without exceeding the byte limit. Using irrelevant or excessive keywords can lead to poor rankings or even penalties.

What's New with Amazon Backend Search Terms

Amazon is constantly updating its algorithm, and in 2024, there are changes in how search terms are evaluated. Relevance is now more critical than ever. The system prioritizes search terms closely related to the product category and filters out those deemed irrelevant. Sellers must be diligent in keeping their backend search terms updated and relevant to the latest trends in customer searches.

How to Optimize Amazon Search Terms

To make the most out of your backend search terms, here are some actionable steps:

Identify Competitors in Your Category

Before diving into keyword research, it's essential to analyze your competitors. Understanding which keywords they are ranking for can give you insight into what’s working in your niche. Tools like Helium 10 allow you to reverse-engineer your competitor’s listings to identify high-ranking keywords.

Use Helium 10 to Generate Keywords

Helium 10’s keyword research tools, such as Cerebro, are excellent resources to find relevant keywords for your listings. By entering your ASIN (Amazon Standard Identification Number), you can generate thousands of keyword ideas that are currently trending on Amazon.

Sort Keywords by Search Frequency

After gathering a list of potential keywords, prioritize them by search volume. High search volume keywords can drive more traffic to your listing, but they may also be more competitive. Focus on a mix of high-volume and long-tail keywords for the best results.

How to Use Helium 10 for Amazon SEO

Helium 10 is a powerhouse tool for Amazon SEO. Here’s how to leverage it effectively:

Step 1: Add ASINs to Cerebro

In Cerebro, enter your product ASIN or competitor ASINs to get a detailed list of relevant keywords. This will provide you with search terms that can help improve your product’s ranking.

Step 2: Sort Keywords by Search Volume

Use the search volume filter to prioritize the most important keywords. Focus on those that are highly relevant to your product and have a decent search volume.

Step 3: Use Brand Analytics to Refine Keywords

Amazon’s Brand Analytics tool can help you refine your keyword list by providing insights into which terms are converting well. Use this data to update your backend search terms for improved performance.

How to Use Brand Analytics for Amazon SEO

Brand Analytics is another powerful tool for refining your keyword strategy:

Step 1: Search for Broad Keywords

Start by entering broad keywords related to your product. This will give you a large pool of potential keywords.

Step 2: Filter Keywords for Relevance

From your broad keyword list, filter out any terms that aren’t directly related to your product. Focus only on relevant, high-converting terms.

Step 3: Add Keywords to Frankenstein

Helium 10’s Frankenstein tool helps you combine multiple keyword phrases into a single list. This is particularly useful for condensing your backend search terms to fit Amazon’s byte limit.

Final Step: Add Keywords to Your Amazon Listing

Once you’ve optimized your keywords, add them to the backend search terms section of your Amazon listing. Be sure to update these terms regularly to reflect changes in customer search behavior.

Capitalizing on Amazon's Backend Search Term Expansion

As Amazon continues to expand its backend search term capabilities, sellers must adapt their strategies accordingly. The key is to stay updated on Amazon’s changing guidelines and make regular adjustments to ensure your listing stays optimized for search.

Unlock Higher Rankings with Expert Amazon Search Terms Optimization

Backend search term optimization is not a one-time effort but an ongoing process. To stay competitive in 2024, sellers need to continually refine their search terms based on performance metrics, search volume, and relevance. Tools like Helium 10 and Amazon Brand Analytics provide invaluable insights for fine-tuning your listings.

How to Create an Amazon A+ Brand Story to Increase Sales & Rankings

In addition to optimizing backend search terms, creating an A+ brand story can significantly enhance your product’s appeal and drive sales. This feature allows you to showcase your brand’s unique value proposition, build trust with customers, and ultimately improve your rankings on Amazon.

By following these expert tips, you can harness the full potential of Amazon’s backend search terms and drive more organic traffic to your listings in 2024.

Read More: How to Use Backend Search Terms to Boost Amazon Rankings

[govindhtech]

AWS Supply Chain Features For Modernizing Your Operations

AWS Supply Chain Features

Description of the service

AWS Supply Chain integrates data and offers demand planning, integrated contextual collaboration, and actionable insights driven by machine learning.

Important aspects of the product

Data lakes

For supply chains to comprehend, retrieve, and convert heterogeneous, incompatible data into a single data model, AWS Supply Chain creates a data lake utilizing machine learning models. Data from a variety of sources, including supply chain management and ERP systems like SAP S/4HANA, can be ingested by the data lake.

AWS Supply Chain associates data from source systems to the unified data model using machine learning (ML) and natural language processing (NLP) in order to incorporate data from changeable sources like EDI 856. Predefined yet adaptable transformation procedures are used to directly transform EDI 850 and 860 messages. Amazon S3 buckets may also store data from other systems, which generative AI will map and absorb the AWS Supply Chain Data Lake.

Insights

Using the extensive supply chain data in the data lake, AWS Supply Chain automatically produces insights into possible supply chain hazards (such overstock or stock-outs) and displays them on an inventory visualization map. The inventory visualization map shows the quantity and selection of inventory that is currently available, together with the condition of each location’s inventory (e.g., inventory that is at risk of stock out).

Additionally, AWS Supply Chain provides work order analytics to show maintenance-related materials from sourcing to delivery, as well as order status, delivery risk identification, and delivery risk mitigation measures.

In order to produce more precise vendor lead-time forecasts, AWS Supply Chain uses machine learning models that are based on technology that is comparable to that used by Amazon. Supply planners can lower the risk of stock-outs or excess inventory by using these anticipated vendor lead times to adjust static assumptions included in planning models.

By choosing the location, risk type (such as stock-out or excess stock risk), and stock threshold, inventory managers, demand planners, and supply chain leaders can also make their own insight watchlists. They can then add team members as watchers. AWS Supply Chain will provide an alert outlining the possible risk and the affected locations if a risk is identified. Work order information can be used by supply chain leaders in maintenance, procurement, and logistics to lower equipment downtime, material inventory buffers, and material expedites.

Suggested activities and cooperation

When a risk is identified, AWS Supply Chain automatically assesses, ranks, and distributes several rebalancing options to give inventory managers and planners suggested courses of action. The sustainability impact, the distance between facilities, and the proportion of risk mitigated are used to rate the recommendation options. Additionally, supply chain managers can delve deeper to examine how each choice would affect other distribution hubs around the network. Additionally, AWS Supply Chain continuously learns from your choices to generate better suggestions over time.

AWS Supply Chain has built-in contextual collaboration features to assist you in reaching an agreement with your coworkers and carrying out rebalancing activities. Information regarding the risk and suggested solutions are exchanged when teams message and chat with one another. This speeds up problem-solving by lowering mistakes and delays brought on by inadequate communication.

Demand planning

In order to help prevent waste and excessive inventory expenditures, AWS Supply Chain Demand Planning produces more accurate demand projections, adapts to market situations, and enables demand planners to work across teams. AWS Supply Chain employs machine learning (ML) to evaluate real-time data (such open orders) and historical sales data, generate forecasts, and continuously modify models to increase accuracy in order to assist eliminate the manual labor and guesswork associated with demand planning. Additionally, AWS Supply Chain Demand Planning continuously learns from user inputs and shifting demand patterns to provide prediction updates in almost real-time, enabling businesses to make proactive adjustments to supply chain operations.

Supply planning

AWS Supply Chain Supply Planning anticipates and schedules the acquisition of components, raw materials, and final products. This capability takes into account economic aspects like holding and liquidation costs and builds on nearly 30 years of Amazon experience in creating and refining AI/ML supply planning models. Demand projections produced by AWS Supply Chain Demand Planning (or any other demand planning system) are among the extensive, standardized data from the AWS Supply Chain Data Lake that are used by AWS Supply Chain Supply Planning.

Your company can better adapt to changes in demand and supply interruptions, which lowers inventory costs and improves service levels. By dynamically calculating inventory targets and taking into account demand variability, actual vendor lead times, and ordering frequency, manufacturing customers can improve in-stock and order fill rates and create supply strategies for components and completed goods at several bill of materials levels.

N-Tier Visibility

AWS Supply Chain N-Tier Visibility extends visibility beyond your company to your external trading partners by integrating with Work Order Insights or Supply Planning. By enabling you to coordinate and confirm orders with suppliers, this visibility enhances the precision of planning and execution procedures. In a few simple actions, invite, onboard, and work together with your trading partners to get order commitments and finalize supply arrangements. Partners provide commitments and confirmations, which are entered into the supply chain data lake. Subsequently, this data can be utilized to detect shortages of materials or components, alter supply plans with fresh data, and offer more insightful information.

Sustainability

Sustainability experts may access the necessary documents and datasets from their supplier network more securely and effectively using AWS Supply Chain Sustainability, which employs the same underlying technology as N-Tier Visibility. Based on a single, auditable record of the data, these capabilities assist you in providing environmental and social governance (ESG) information.

AWS Supply Chain Analytics

Amazon Quicksight powers AWS Supply Chain Analytics, a reporting and analytics tool that offers both pre-made supply chain dashboards and the ability to create custom reports and analytics. With this functionality, you may utilize the AWS Supply Chain user interface to access your data in the Data Lake. You can create bespoke reports and dashboards with the inbuilt authoring tools, or you can utilize the pre-built dashboards as is or easily alter them to suit your needs. This function provides you with a centralized, adaptable, and expandable operational analytics console.

Amazon Q In the AWS Supply Chain

By evaluating the data in your AWS Supply Chain Data Lake, offering crucial operational and financial insights, and responding to pressing supply chain inquiries, Amazon Q in AWS Supply Chain is an interactive generative artificial intelligence assistant that helps you run your supply chain more effectively. Users spend less time looking for pertinent information, get solutions more quickly, and spend less time learning, deploying, configuring, or troubleshooting AWS Supply Chain.

Read more on Govindhtech.com

[actowizsolution]

How to Extract UPC, ASIN, and Walmart Product Codes: A Comprehensive Guide

Introduction

In the ever-evolving world of e-commerce, where information is vital, mastering the art of accessing essential product identifiers such as UPC, ASIN, and Walmart product codes is nothing short of indispensable. In this comprehensive guide, we embark on a journey to demystify the process of obtaining these vital codes from one of the most prominent retail giants, Walmart.

The ability to extract Walmart product codes, also known as UPC, is a skill that can significantly impact your online retail endeavors. Whether you're a seasoned seller, a diligent marketer, or a discerning consumer, the knowledge of UPC lookup for Walmart is a gateway to making informed decisions, tracking product trends, and optimizing your e-commerce strategy.

Throughout this guide, we will cover the intricacies of UPC search for Walmart, providing you with step-by-step instructions on how to search Walmart UPCs effectively. Whether you are a newcomer to the e-commerce landscape or a seasoned professional, this guide offers insights into the best practices for UPC lookup Walmart, empowering you to navigate the vast digital marketplace with confidence and expertise. So, let's embark on this journey together and unlock the world of Walmart product codes.

Understanding ASIN, UPC, and Walmart Product Codes

ASIN (Amazon Standard Identification Number)

ASIN is Amazon's proprietary identification system, unique to its platform. This alphanumeric code serves as a digital fingerprint, assigned exclusively to products available on Amazon. Its primary role is to enable precise product location and listing within Amazon's extensive marketplace.

Imagine ASIN as the key that unlocks Amazon's vast product catalog. It simplifies the process of finding, categorizing, and managing products. Whether you're a seller, a consumer, or a marketer, ASIN is the linchpin that connects you to Amazon's treasure trove of offerings.

UPC (Universal Product Code)

Unlike ASIN, UPC is a universal identifier used across a multitude of platforms, not limited to Amazon. This identifier is a standardized barcode that you commonly find on product packaging, making it easily recognizable to consumers.

The UPC is the bridge between the physical and digital worlds of commerce. It consists of a series of black bars and white spaces, encoding essential product information that can be swiftly scanned and processed at checkout. This expedites the purchase process and helps maintain accurate inventory records, making it a vital tool for retailers.

While ASIN is Amazon-specific, UPC has a global reach. It's a fundamental part of supply chain management, allowing products to be tracked from manufacturing to the point of sale across various retail platforms. As a consumer, you might not interact with UPCs directly, but you certainly benefit from their role in making your shopping experience efficient and seamless.

If you're looking to extract Walmart product codes, UPC is a crucial element to understand. Walmart, as a retail giant, utilizes UPC as part of its inventory management and point-of-sale systems. Therefore, comprehending UPCs and how they function is invaluable when dealing with Walmart's vast product catalog.

Walmart Product Codes

Just as Amazon relies on ASIN, Walmart employs its unique system of product codes to manage its extensive inventory. These Walmart Product Codes serve a similar purpose to ASIN and UPC but are specific to Walmart's platform.

If you're navigating the world of e-commerce and aiming to extract Walmart product codes or look up Walmart product codes, having insight into Walmart's internal coding system is essential. This knowledge empowers you to seamlessly work with Walmart's inventory, ensuring efficient tracking and listing of products.

Walmart Product Codes are the key to organizing and categorizing the multitude of products available through Walmart's online and physical stores. Whether you're a seller aiming to add your products to Walmart's offerings or a consumer searching for specific items, these codes enable you to navigate Walmart's vast retail ecosystem.

The Significance of These Codes

In the context of online retail, these codes are indispensable. They streamline the processes of listing products, finding specific items, and maintaining inventory records. They enable retailers to manage their stock efficiently, ensuring that products are in the right place at the right time.

For consumers, these codes ensure that the shopping experience is smooth and convenient. Whether you're buying products from Amazon, Walmart, or any other major retailer, these codes play a vital role in ensuring that the items you want are readily available and that your purchase process is efficient.

ASIN, UPC, and Walmart Product Codes are the unsung heroes of the e-commerce world, quietly working behind the scenes to make the online shopping experience as seamless as possible. Whether you're a seller, marketer, or consumer, understanding these codes and their functions is vital to success in the digital marketplace. So, the next time you make a purchase or list a product, remember the role these codes play in making it all happen.

Why Extract Product Information?

Extracting product information from UPC, ASIN, and Walmart Product Codes is vital in the modern business landscape. This data extraction process offers many benefits that have far-reaching implications for businesses, both large and small, across various industries.

Market research is a fundamental application of product information extraction. By delving into the data associated with these codes, businesses can gain valuable insights into product trends and consumer demand. This knowledge is invaluable for shaping marketing strategies, product development, and inventory decisions. Market research allows businesses to align their offerings with consumer preferences, increasing sales and profitability.

Price comparison is another significant advantage of product information extraction. With the ability to access and analyze pricing data from different platforms, businesses, and consumers can make informed purchasing decisions. This pricing transparency fosters healthy market competition, incentivizing retailers to offer competitive prices and superior value to customers.

Effective inventory management is crucial for optimizing operations and minimizing costs. By extracting data from UPC, ASIN, and Walmart product codes, businesses can closely monitor stock levels and predict restocking needs accurately. This ensures that products are readily available when customers demand them, reducing the risk of overstocking or stockouts.

Competitor analysis becomes more precise and insightful when product information extraction is employed. Understanding your competitors' product listings and strategies provides a strategic advantage. It allows businesses to identify gaps in the market, fine-tune their marketing campaigns, and differentiate their products. This competitive edge is essential for staying relevant and thriving in today's dynamic business environment.

Product listing and management on e-commerce platforms are simplified and streamlined through product information extraction. Creating or updating product listings becomes a more efficient process, ensuring that accurate and up-to-date information is available to potential customers. This can significantly boost sales and trust, as accurate and detailed product information is often a deciding factor for online shoppers.

Extracting product information from UPC, ASIN, and Walmart product codes is a versatile and powerful tool providing numerous benefits to businesses. It supports data-driven decision-making, enhances competitiveness, and fosters efficient inventory management, ultimately leading to better customer satisfaction and increased profitability. Businesses that harness this technology effectively can gain a significant advantage in the marketplace.

Sources of Product Information

In the ever-evolving landscape of e-commerce, extracting product information is a fundamental practice, offering businesses a competitive edge and consumers the ability to make informed choices. This critical data can be obtained from various sources, such as UPC search at Walmart, UPC lookup for Walmart, and utilizing UPCs on other retailer websites.

APIs (Application Programming Interfaces): Many e-commerce platforms offer programmatic access to their product data. These APIs enable businesses to fetch real-time product availability, pricing, and specifications information. UPC lookup for Walmart and other retailers through APIs is a valuable tool for inventory management, as it ensures that stock levels are consistently updated to meet customer demand. Additionally, these APIs assist in maintaining accurate and up-to-date product listings on e-commerce platforms.

Web Scraping: Web scraping is a versatile method for extracting product information from various websites. It isn't limited to specific e-commerce giants but can be applied to various online sources. This flexibility makes it an excellent choice for competitor analysis. Businesses can gather data from competitors and niche marketplaces by employing web scraping tools and scripts. This broader perspective aids in understanding market dynamics and gaining a competitive edge.

The ability to extract product information from various sources, including UPC search at Walmart and other retailer websites, APIs, and web scraping, is a game-changer in today's digital commerce environment. It empowers businesses with the insights needed for data-driven decision-making, enhanced competitiveness, efficient inventory management, and the creation of compelling product listings. Consumers, too, benefit from this wealth of information, making more informed purchasing choices, thus reshaping the e-commerce landscape.

Extracting ASIN Information

Extracting ASIN (Amazon Standard Identification Number) information is crucial for businesses and individuals looking to access and catalog product data from Amazon. The process can be broken down into a few simple steps:

Visit the Product Page on Amazon

To begin, navigate to the specific product page on Amazon for the item from which you want to extract ASIN information. Amazon's extensive product listings cover a wide range of categories and products, making it a valuable source of information.

Locate the ASIN in the Product Details Section

On the product page, scroll down or look for the "Product Details" section. Within this section, you will typically find the ASIN displayed. The ASIN is a unique identifier assigned to each product on Amazon and is usually labeled as "ASIN" or "Amazon Standard Identification Number."

Manually Note It or Use Web Scraping

You have two options for extracting ASIN information: manual note-taking or web scraping automation.

Manual Note-Taking: You can write down the ASIN from the product page. This method is suitable for small-scale data extraction tasks but can be time-consuming when dealing with many products.

Web Scraping Automation: Employing web scraping tools or scripts is efficient for more significant data extraction tasks. These tools can automate extracting ASIN and other product details from multiple product pages, significantly reducing the time and effort required.

Automating the extraction process with web scraping tools is particularly advantageous when dealing with a large volume of products or updating product information regularly. Various web scraping tools and services can be configured to extract ASIN information efficiently and accurately.

Extracting ASIN information involves visiting the product page on Amazon, locating the ASIN in the product details section, and then choosing whether to manually note it or use web scraping tools for automated data extraction, depending on the scale of the task. This data can be invaluable for market research, pricing analysis, inventory management, and product listing on e-commerce platforms. Explore the benefits of E-commerce Data Scraping Services to efficiently gather and utilize this information, empowering your e-commerce strategies and decision-making processes.

Extracting UPC Information

Extracting UPC (Universal Product Code) information plays a pivotal role in various business and inventory management functions. Here are the steps to retrieve UPC information, along with relevant keywords:

Check the Product Packaging for the Barcode

When dealing with physical products, the UPC is often represented as a barcode on the product's packaging. This barcode, a combination of numbers and bars, serves as a unique identifier for the product. Perform a visual inspection of the product packaging to locate and note down the UPC.

Use a Barcode Scanner App

Many smartphones are equipped with built-in cameras that are capable of scanning barcodes. Alternatively, there are numerous barcode scanner apps available for download. To extract the UPC, launch the app, direct the camera towards the product's barcode, and allow the app to capture the code. The app will then display the UPC in a legible format, making it convenient for manual noting or for further use.

Access Through an API or Web Scraping

For more extensive inventories or e-commerce data, obtaining UPC information through APIs or web scraping proves to be a more efficient approach. Some e-commerce platforms and databases offer APIs that allow programmatic access to product information, including UPCs. You can utilize these APIs, such as UPC lookup for Walmart, to retrieve UPC data in bulk, thereby automating the process for multiple products.

Additionally, web scraping is a viable alternative. It entails the extraction of data from websites and can be highly valuable for retrieving UPC information from online sources when APIs are not accessible. Web scraping tools and scripts can be configured to navigate web pages, locate UPCs, and organize them into a structured format.

Your choice of method for UPC information extraction depends on the scale of your operation and the nature of the products involved. Manual extraction from physical packaging suits small-scale operations, while barcode scanner apps are convenient for individual use. When dealing with more extensive inventories and e-commerce databases, utilizing APIs or web scraping offers automation and efficiency, saving both time and effort in retrieving UPC data.

The process of extracting UPC information can be achieved through visual inspection of product packaging, the use of barcode scanner apps, or, for more extensive data requirements, via APIs or web scraping. This UPC data is essential for inventory management, pricing analysis, and product identification, and it can be particularly useful when conducting tasks like UPC lookup for Walmart or searching Walmart UPC codes.

Extracting Walmart Product Codes

When it comes to extracting Walmart product codes, there are specific steps and methods you can employ. Here's a breakdown of the process, along with the use of relevant keywords:

Navigate to the Product Page on Walmart's Website

To initiate the process, visit the product page on Walmart's official website. Walmart hosts an extensive product catalog across various categories, making it a valuable product data source.

Look for the Product Code in the Product Details Section

Once on the product page, scroll down or navigate to the "Product Details" section. You'll usually find the product code in this section, which can be a UPC, ASIN, or Walmart-specific identifier. The product code might be labeled as "Product Code," "Item Number," "UPC," or something similar.

Use Web Scraping Tools or an API to Collect the Data

After locating the product code, you can choose between manual extraction and more automated methods, such as web scraping or API access.

Manual Extraction: You can manually note the product code from the product page for a small-scale operation. This method is suitable when dealing with a limited number of products.

Web Scraping Tools: Web scraping becomes a highly efficient option when you need to collect product codes in bulk or regularly. Web scraping tools and scripts can be configured to extract data systematically from multiple product pages, saving time and effort.

API Access: If Walmart provides an API for accessing product data, you can programmatically retrieve product codes for multiple items. This method is beneficial for businesses managing extensive inventories or e-commerce operations.

By using keywords like "Extract Walmart product codes," "Look up Walmart product codes," "UPC lookup Walmart," "UPC search Walmart," "UPC lookup for Walmart," and "search Walmart UPC," you can enhance your search and data extraction process, making it more streamlined and efficient. These product codes are essential for various purposes, including inventory management, pricing analysis, and product identification.

Using Extracted Data

After successfully extracting ASIN, UPC, or Walmart product codes, you gain access to a wealth of valuable data that can be utilized for a variety of purposes, each playing a crucial role in different aspects of business and consumer decision-making:

Price Tracking

With these extracted product codes, you can effectively monitor price fluctuations across different platforms. This is particularly beneficial for consumers seeking the best deals and businesses looking to stay competitive and adjust pricing strategies based on market trends.

Inventory Management

Product codes are instrumental in efficient inventory management. They allow you to monitor your stock levels and predict restocking requirements closely. By maintaining the optimal balance of products, you can reduce operational costs and enhance customer satisfaction.

Market Research

The extracted data serves as a valuable resource for market research. You can gain in-depth insights into consumer preferences by analyzing trends and assessing demand for specific products. This knowledge is essential for refining marketing strategies, developing new products, and ultimately increasing sales and profitability.

Competitor Analysis

Precise competitor analysis becomes feasible with the aid of product codes. You can compare your product listings, pricing, and strategies with your competitors. This allows you to identify gaps in the market, fine-tune your marketing efforts, and gain a competitive edge in the dynamic business landscape.

Incorporating these product codes for price tracking, inventory management, market research, and competitor analysis gives businesses and consumers a competitive advantage. These activities are integral to informed decision-making, cost optimization, and market competitiveness. Whether you're an individual shopper or a business owner, this data proves invaluable for making the best choices and staying ahead of the competition.

Why Choose Actowiz Solutions?

Choosing Actowiz Solutions as your preferred data extraction partner offers many e-commerce and data management advantages. Here are some compelling reasons to consider Actowiz Solutions:

Expertise in Data Extraction: Actowiz Solutions boasts a team of experts in data extraction, web scraping, and API integration. Their proficiency ensures accurate and efficient data retrieval.

Customized Solutions: Actowiz Solutions understands that every client has unique needs. They offer tailor-made solutions to your specific data extraction requirements, whether ASIN, UPC, or Walmart product codes.

Data Privacy and Security: Respecting data privacy and security is a top priority for Actowiz Solutions. They employ best practices and security measures to ensure that your data remains confidential and protected.

Ethical Data Collection: Actowiz Solutions places great importance on adhering to the terms of service and policies of e-commerce platforms. They conduct data extraction ethically and responsibly.

Efficiency and Timeliness: Timeliness is often crucial in the world of e-commerce. Actowiz Solutions prides itself on delivering data in a timely fashion, ensuring you can make real-time decisions.

Comprehensive Support: Actowiz Solutions provides ongoing support to clients, helping them navigate the complex world of data extraction and e-commerce.

Actowiz Solutions is ideal for those seeking reliable and efficient data extraction services in the e-commerce domain. Their expertise, commitment to data privacy, ethical practices, and tailored solutions make them valuable partners in your e-commerce endeavors.

Conclusion

Extracting ASIN, UPC, and Walmart product codes can provide you with valuable data to make informed decisions in the e-commerce world. Whether you're a seller, a marketer, or a consumer, having access to this information empowers you to navigate the online retail landscape more effectively. Contact Actowiz Solutions for more details. You can also reach us for all your mobile app scraping, instant data scraper and web scraping service requirements.

Source: https://www.actowizsolutions.com/extract-upc-asin-and-walmart-product-codes.php

[marketingreportz]

Logistics Automation Market - Forecast(2024 - 2030)

 Logistics Automation Market refers to the application of technology and machinery to streamline and optimize supply chain operations, from the production line to the final #delivery of goods. It plays a crucial role in improving #efficiency, reducing costs, and minimizing human #intervention in repetitive or time-consuming tasks. Below is an overview of key areas where #automation is transforming #logistics:

1. Warehouse Automation

Automated Storage and Retrieval Systems (AS/RS): These systems use cranes and robots to retrieve and store goods in high-density shelving, maximizing space and reducing human error.

Automated Guided Vehicles (AGVs): AGVs transport materials throughout warehouses or production facilities without human intervention.

Pick-to-Light Systems: Light-guided systems to help workers or robots efficiently pick orders, improving accuracy.

Robotic Process Automation (RPA): Automates back-office tasks such as order processing, inventory management, and shipment tracking.

2. Transportation Automation

Self-Driving Trucks and Drones: Autonomous vehicles are being used to reduce costs and increase delivery speed, particularly for long-haul logistics and last-mile delivery.

Route Optimization Software: Advanced algorithms analyze traffic, weather, and other variables to determine the most efficient routes, cutting fuel consumption and delivery times.

Freight Management Systems (FMS): Automates shipment scheduling, carrier management, and freight bill auditing, enhancing visibility across the supply chain.

👉 Sample Report :

3. Inventory Management Automation

RFID and IoT Integration: Radio-frequency identification (RFID) and Internet of Things (IoT) devices enable real-time tracking of inventory, reducing stock discrepancies and enhancing demand forecasting.

Predictive Analytics: Machine learning models analyze historical data and market trends to predict inventory needs, helping companies maintain optimal stock levels and reduce overstock or stockouts.

4. Order Fulfillment

Autonomous Robots in Fulfillment Centers: Companies like Amazon use robots for sorting and transporting items within fulfillment centers, speeding up order processing and reducing human labor.

Smart Packaging Systems: Automated systems weigh, pack, and label items for shipment, ensuring consistency and reducing waste.

Drone Delivery: Some companies are exploring drones for delivering small parcels, particularly for time-sensitive or hard-to-reach locations.

👉 Inquiry Before:

5. Customer Service and Communication

Chatbots and AI Assistants: Automated systems handle customer inquiries about order status, return policies, or delivery schedules, enhancing customer experience.

Real-Time Notifications and Tracking: Automation enables real-time tracking updates for customers, keeping them informed throughout the delivery process.

6. Data-Driven Decision Making

AI and Machine Learning Integration: These technologies process vast amounts of data to optimize every aspect of logistics, from route planning to predicting equipment maintenance needs.

Blockchain for Secure Transactions: Blockchain offers secure, transparent, and immutable records of transactions and shipments, ensuring trust in the supply chain.

7. Benefits of Logistics Automation

Cost Savings: By reducing the need for human labor and improving efficiency, logistics automation can significantly cut operational costs.

Faster Delivery Times: Automated systems reduce delays in the warehouse and transportation phases, resulting in faster deliveries.

Improved Accuracy: Automation minimizes errors in order picking, inventory tracking, and shipment, leading to higher accuracy rates.

Scalability: Automated systems can easily scale to accommodate fluctuations in demand, especially during peak seasons.

Enhanced Safety: Automation reduces human exposure to dangerous tasks, such as handling hazardous materials or working in extreme environments.

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8. Challenges and Considerations

High Initial Costs: Implementing automated systems requires a significant investment in technology and infrastructure.

Skilled Workforce Requirements: Automation may reduce the need for manual labor, but it increases the demand for workers skilled in managing and maintaining these systems.

Cybersecurity Risks: As more devices and systems become interconnected, logistics operations become vulnerable to cyberattacks.

Regulatory Hurdles: Autonomous vehicles, drones, and other automated technologies may face regulatory restrictions in certain regionsAutomation & Robotics The integration of advanced robotics, automated guided vehicles (AGVs), and automated storage and retrieval systems (AS/RS) is revolutionizing logistics. Automated warehouses and distribution centers are optimizing efficiency, reducing labor costs, and enabling faster, more accurate order fulfillment.

  AI & Predictive Analytics Artificial Intelligence and data-driven predictive analytics are helping companies optimize routes, manage inventories, and forecast demand. AI-powered systems analyze historical data and current conditions to improve decision-making, increase efficiency, and minimize disruptions in the supply chain.

 Sustainability & Green Logistics With a rising focus on environmental responsibility, logistics companies are adopting eco-friendly practices, such as electric vehicles, carbon-neutral shipping, and optimizing routes to reduce emissions. The trend toward sustainability is transforming supply chains by pushing for greener transportation and reduced waste throughout operations.

 Transforming Supply Chains with Logistics Automation: The Future is Here

In today’s fast-paced, highly competitive business environment, logistics and supply chain management are evolving faster than ever. Logistics automation is at the forefront of this transformation, streamlining operations, improving efficiency, and reducing costs across industries. As technology continues to advance, businesses are turning to automation solutions to keep pace with increasing demand and customer expectations. Let’s explore how logistics automation is shaping the future of supply chains.

1. Automation as a Competitive Advantage

Logistics automation is no longer a luxury — it’s a necessity. Companies are deploying automated systems to manage warehouses, streamline order fulfillment, and optimize transportation. Automated Guided Vehicles (AGVs), robotics, and conveyor systems are allowing businesses to scale faster, operate more efficiently, and reduce human error, ensuring orders are processed with accuracy and speed.

2. AI & Data-Driven Decision Making

The integration of Artificial Intelligence (AI) and predictive analytics is transforming logistics operations. By analyzing vast amounts of data, AI-powered systems can predict demand patterns, optimize delivery routes, and proactively address disruptions in the supply chain. This level of foresight ensures companies can meet demand efficiently, minimize delays, and keep costs down, providing a competitive edge in the global market.

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3. Sustainability through Automation

Sustainability is becoming an essential element of supply chain strategies. Green logistics solutions like energy-efficient automation systems, electric vehicles, and optimized route planning are reducing the environmental footprint of logistics operations. Automation is not only driving operational efficiency but also helping businesses achieve their sustainability goals by lowering carbon emissions and minimizing waste.

4. Enhanced Customer Experience

Today’s customers expect faster, more reliable deliveries. Automation is playing a pivotal role in meeting these expectations by optimizing last-mile delivery, reducing transit times, and improving accuracy. Whether it’s through real-time tracking, autonomous delivery vehicles, or drone deliveries, automation is creating a seamless, customer-centric experience.

The Future of Logistics is Automated

As businesses continue to scale and the complexity of supply chains grows, logistics automation will be the key to staying competitive. Companies that embrace automation will unlock new levels of efficiency, sustainability, and innovation.

Is your business ready for the future of logistics? Now is the time to invest in automation and take your supply chain to the next level

For more about Logistics Automation Market click here

[ahansaxena12]

Merchant Seller Acquisition Onboarding Agency in Bangalore

A Merchant Seller Acquisition Agency in Bangalore plays a crucial role in facilitating the smooth onboarding of sellers to various e-commerce platforms like Amazon, Flipkart, Myntra, and more. With the rapid growth of online shopping, these agencies have become indispensable in helping merchants leverage e-commerce opportunities by streamlining the seller onboarding process.

Understanding Seller Acquisition and Onboarding:

Seller acquisition refers to the process of identifying and attracting potential merchants who can sell products on an online marketplace. The onboarding process involves helping these merchants complete registration, set up their accounts, list their products, and ensure their businesses comply with platform requirements.

In Bangalore, which is known for its thriving startup ecosystem and as a major hub of technological innovation in India, e-commerce has seen tremendous growth. Small and medium enterprises, as well as established businesses, are keen to tap into the online marketplace. However, onboarding sellers on e-commerce platforms can be complex and time-consuming, especially for those unfamiliar with digital processes.

This is where Merchant Seller Acquisition Onboarding Agencies come into play. They act as intermediaries between sellers and e-commerce platforms, simplifying and speeding up the process of onboarding new merchants. These agencies offer a wide range of services to ensure sellers can establish a seamless online presence.

Services Provided by Onboarding Agencies:

Seller Identification and Outreach: The agency identifies potential sellers in Bangalore, ranging from small local vendors to large retailers, and approaches them with the opportunity to sell online. They may conduct targeted campaigns, workshops, and training sessions to educate merchants on the benefits of joining a specific platform.

Registration Assistance: Onboarding agencies help sellers navigate the complex registration process on various e-commerce platforms. This includes submitting the necessary documents, verifying business details, and meeting compliance requirements specific to each platform. The agency ensures that sellers avoid common errors that could delay their registration process.

Product Listing and Optimization: Once the seller is registered, the agency assists in listing their products on the platform. This involves product photography, writing detailed descriptions, and categorizing the items correctly. These agencies ensure that listings are optimized to increase visibility on the platform, making it easier for customers to find and purchase the products.

Training and Support: Many sellers in Bangalore, especially smaller ones, may be unfamiliar with the nuances of e-commerce. Onboarding agencies provide training sessions that cover key areas like inventory management, customer service, pricing strategies, and handling logistics. This helps sellers navigate the e-commerce ecosystem with greater confidence.

Compliance and Legal Assistance: Different e-commerce platforms have various legal and compliance requirements. Onboarding agencies ensure that sellers meet these requirements, such as tax filings, GST registration, and documentation for selling specific product categories (e.g., food, electronics).

Marketing and Sales Strategy: Some agencies also help sellers develop marketing strategies to promote their products online. This includes guidance on advertising campaigns, discounting strategies, and how to leverage platform-specific tools like paid promotions and analytics.

Benefits for Merchants:

For sellers in Bangalore, working with a merchant onboarding agency offers several advantages:

Faster Onboarding: The complex processes of document verification and registration are handled by the agency, ensuring quick onboarding and enabling merchants to start selling sooner. Reduced Error Risk: Agencies help avoid common mistakes that could result in account suspension or delays, especially for first-time sellers. Market Insights: Onboarding agencies often have a deep understanding of market trends and platform algorithms. This expertise can be leveraged to optimize product listings and improve sales performance. Ongoing Support: These agencies provide ongoing assistance even after the initial onboarding process, offering continued support in marketing, platform updates, and compliance changes.

Conclusion:

A Merchant Seller Acquisition Onboarding Agency is vital for merchants looking to scale their businesses online. These agencies not only simplify the seller onboarding process but also offer continued support and insights that help merchants succeed in the highly competitive world of e-commerce. By partnering with these agencies, sellers can focus on growing their business while leaving the technicalities of e-commerce management to experts. In a city like Bangalore, where innovation and entrepreneurship thrive, these agencies bridge the gap between offline businesses and the digital marketplace, empowering merchants to maximize their online potential.

For more information : Merchant Seller Acquisition Onboarding Agency

[nshah01801]

Instant Indexing: How to Quickly Index Your ASIN or ISBN on Amazon and Lulu

Introduction

The process of getting your book noticed on Amazon or Lulu hinges on one key factor: indexing. If your ASIN (Amazon Standard Identification Number) or ISBN (International Standard Book Number) isn't properly indexed, your book will be virtually invisible to the millions of potential readers searching for content like yours.

This guide walks you through practical steps to instantly index your ASIN or ISBN on Amazon or Lulu, making your book available and discoverable. Whether you're a first-time author or a seasoned self-publisher, these proven techniques will help ensure that your work is searchable and ready for purchase as quickly as possible.

Understanding Indexing: ASIN & ISBN

Before diving into the techniques for fast indexing, it’s crucial to understand what ASIN and ISBN mean in the world of publishing.

ASIN (Amazon Standard Identification Number) is unique to each product listed on Amazon, including books. Amazon uses this number to track inventory and allow customers to search for books.

ISBN (International Standard Book Number) is a global identifier that libraries, bookstores, and online retailers use to manage and list books.

Indexing simply means making these numbers discoverable via search engines, Amazon’s own search tool, or Lulu’s platform.

Amazon Indexing: Step-by-Step

Publishing on KDP (Kindle Direct Publishing): Once you upload your manuscript to Amazon KDP, you will be assigned an ASIN instantly. This ASIN will be tied to your book across Amazon’s global network, but it doesn’t mean it’s indexed yet. For your book to appear in Amazon search results, follow these steps:

Choose the Right Keywords: Amazon gives you up to 7 keyword slots during your book submission process. To ensure instant indexing, research keywords using tools like Publisher Rocket, and choose terms that have high search volumes but low competition.

Category Optimization: Picking the right categories is vital for both indexing and rankings. Use tools like KDP Select’s Category Search feature to find the best fit. You can also request additional categories via Amazon Author Central.

Submit and Monitor: Once your book is live, check if it appears in the search results by using specific keywords. Amazon generally indexes within 24-48 hours, but using social proof, ads, and traffic can speed this process.

Lulu Indexing: Step-by-Step

Unlike Amazon, Lulu offers a broader publishing service, including ISBN registration. Here’s how you can quickly index your book on Lulu:

ISBN Assignment: If you choose Lulu’s free ISBN service, your book will be automatically assigned one. Ensure your metadata (title, subtitle, author, keywords) are optimized before publication.

Link ISBN with Distribution Channels: After ISBN assignment, select global distribution options to ensure your book is available in major retailers. Lulu typically indexes books within 24-72 hours.

Drive External Traffic: Lulu may take longer to index organically, but driving external traffic via social media, backlinks, and promotions can expedite this process.

Fast-Track Techniques for Instant Indexing

Leverage Amazon’s Author Central: Claim your author page, and add your book's ASIN to ensure better indexing and search discoverability.

Drive Initial Traffic: One of the most effective ways to get indexed faster is by sending external traffic to your book’s product page. This can be done through paid ads, blog promotions, or email newsletters.

Boost Reviews: The number of reviews directly impacts Amazon’s algorithm. Encourage early readers to leave reviews within the first few days of launch.

Paid Ads for Instant Visibility: Amazon’s ad platform allows you to instantly promote your ASIN. By targeting relevant keywords, you can force Amazon’s algorithm to quickly index your book in search results.

Conclusion

By understanding how ASINs and ISBNs function within Amazon and Lulu’s systems, and applying the right metadata, keywords, and promotional strategies, you can get your book indexed rapidly. This guide equips you with the tools to make your book discoverable, ensuring that your hard work reaches the audience it deserves.

Happy publishing!

Nik Shah is a LLM & GPT developer, author & publisher. Check out his official website: Nik.Plus

[psatalk]

Labelexpo Americas 2024 features launches and live demos

In a conversation with Packaging South Asia, Tasha Ventimiglia, group director - Labelexpo Americas 2024, spoke about the highlights of the ongoing show at Donald E. Stephens Convention Center, Chicago. FlexPack@Labelexpo is an inclusive feature with the show for flexible packaging and shrink sleeves, which will allow attendees entering this high-value market to see the latest equipment and materials from leading industry suppliers in the flex pack sector.

“Attendees and exhibitors are witnessing the latest innovations shaping the future of the label and package printing industry — including sustainable material solutions, short-run flexible packaging, workflow automation, and radio frequency identification (RFID) technology,” Ventimiglia said. “There are hundreds of live demonstrations showcasing the latest digital printing technologies and flexo press technology, finishing equipment, materials, inks, and preproduction systems.”

There is a Label Academy masterclass on flexible packaging and a workshop on RFID Technology for Label Converters, aligning with the key trends to be seen at the show. This series will provide attendees with expert guidance on entering or expanding their label production into new, lucrative markets, adding value, and streamlining their current operations.

She adds, “In addition, there was an expanded networking opportunity that included a converter leadership lunch taking place on 10 September. The lunch featured a high-level converter leadership panel discussion, followed by a delegate Q&A, alongside networking time with peer CEOs and thought leaders from major converting groups. A keynote breakfast on 11 September will include a high-level keynote session on automation and AI followed by an expert-led panel discussion, alongside an exclusive networking opportunity with industry leaders.”

At the Innovation Stage, exhibitors got the opportunity to showcase their latest technologies in a series of 20-minute presentations. Labelexpo Americas witnessed the introduction of two highly automated mid-web 26-inch flexo presses targeted at short-run flexible packaging, wraparound, in-mold, and shrink-sleeve labels.

Mark Andy launched the new P-Series S9 flexo press – available in both 22-inch and 26-inch versions - as well as digital and hybrid equipment and Nilpeter demonstrated a 26-inch FA-26 for the first time in the US. HP demonstrated its mid-web format 200k press for the first time at Labelexpo Americas with an add-on slitter to allow label converters to print PS labels and slit inline before finishing off-line. Other new launches include Canon’s prototype water-based inkjet press, the LabelStream SL2000, and the Durst Kjet hybrid press – both machines only seen before at drupa.

“There is more equipment on the show this year than we had in the past,” Ventimiglia says. “This includes new, wider flexo presses, hybrid technology including the new Durst KJet and Mark Andy IQR configured with a 2200 press frame and Domino N610i print engine. The new FlexPack@Labelexpo exhibition, co-located with Labelexpo Americas 2024 focussed on the complete production chain for flexible packaging from materials selection to laminating and pouch-making. This is also the first show to feature the RFID Experience. This is particularly well timed to show label converters how to meet the Walmart RFID mandate, as well as new retail applications from Amazon.”

She explained that the key challenges for label converters include increasing competition, increasing costs of materials, energy, and labor, the difficulty in finding skilled operators, and consolidation amongst end users (brand owners) and suppliers. She says, “The answer to most of these challenges is to automate the converting operation and reduce energy usage and waste – particularly the waste created during the changeover between jobs. At the same time, converters have the opportunity to diversify into higher value-added markets and applications including flexible packaging and RFID/smart labels. At Labelexpo Americas all these key challenges and opportunities will be addressed by exhibitors on the show floor and at educational and networking events.”

According to the group director, the labels industry continues to grow on average at two percentage points above GDP growth in all global markets. This is true for all label formats including pressure-sensitive and wet glue (glue applied) labels. In-mold labels are also growing, albeit at a slightly lower rate, and shrink sleeves remain the fastest-growing label category. New technology developments, including digital embellishment, wider presses, and hybrid machines open up new opportunities for label converters to add value to all these label formats, allowing them to escape from commodity label production where the most intense competition lies and increase profitability.