#Use case of AI in FMCG

[deciphertechae]

[cimcondigital]

End-of-Year Results Press Release

CIMCON Digital Releases Favorable End-of-Year Results

Ahmedabad, May 3, 2023

CIMCON Digital, an AI-led technology company focused on reducing energy and O&M costs and driving sustainability goals for energy-intensive industrial businesses, has released its end-of-year results, demonstrating significant growth and expansion in key areas of its business. CIMCON’s VIBit, an AI-driven, vibration-based predictive and prescriptive solution, has helped various companies across industries like pharmaceuticals, cement, tire, automotive, FMCG, and steel move closer to their ambitious net-zero goals to reduce greenhouse gas emissions.

To accelerate adoption and enable cost-sensitive use cases, CIMCON launched MachineAstro, an IOT-in-a-box solution, that includes multiple vibration sensors and temperature, pressure, flow, and energy meters wired to an edge device running AI-based diagnostic software. This solution has received an overwhelming response from machine manufacturers and industrial automation system integrators.

This year, CIMCON saw several of its existing VIBit customers take the next step in their digital transformation journey by implementing its state-of-the-art edge IIoT platform, CIM, which delivers several unique use cases, including some that involve video analytics.

Continuing with its theme of making digital products affordable, CIMCON also introduced CIM10, a product that allows users to easily connect their entire factory or plant. This helps plant owners identify opportunities for energy efficiency and waste reduction at an enterprise level, ultimately contributing to a more sustainable future and progress toward achieving net-zero goals.

“We are proud that our technologies are helping address approximately one-third of global GHG emissions contributed by energy-intensive industries each year,” said Anil Agrawal, CEO of CIMCON Digital. “We are also delighted to see some of our customers making rapid progress towards their sustainability and industry 4.0 goals through our CIM IIoT platform.”

The company remains committed to leveraging AI to create a more sustainable industrial world and building on its current momentum going forward.

About CIMCON Digital: CIMCON Digital leverages 35 years of deep domain industrial experience of its parent company, CIMCON Software (I) Pvt. Ltd., to deliver cutting-edge Industry 4.0 solutions that incorporate IoT, artificial intelligence, and machine learning technologies. CIMCON Digital products and solutions help a diverse range of customers across manufacturing, water, oil & gas, among others, meet their net-zero and sustainability goals. The company has a global presence, with offices in the United States and India, and its mission is to create “One Connected Industrial World,” making it a leading player in the IoT industry.

For more information on CIMCON’s digital transformation solutions, visit cimcondigital.com. For media inquiries, contact Aishwarya Agrawal at ashi@cimcondigital.com or call +91-09512800836.

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[marketresearchreportsandanalysis]

Revolutionizing Sales Performance: A Quantzig Case Study on Optimizing FMCG Sales Processes

Originally published by Quantzig: Quantzig Optimized the Sales Process for a Leading FMCG Brand to Improve Sales Performance

Introduction:

In the dynamic realm of Fast-Moving Consumer Goods (FMCG), maximizing sales efficiency is crucial for sustained success. This case study explores how Quantzig, a leader in advanced analytics, transformed the sales process for a prominent FMCG brand, resulting in substantial improvements in sales performance.

Key Case Study Highlights:

- Understanding the Sales Process

- Tips for Optimizing FMCG Sales Processes

- Strategies to Increase Sales in FMCG

- Client’s Profile and Business Challenge

- Solution Offered by Quantzig

- Value Delivered to the Client

- Optimize ROI with Quantzig’s Sales Analytics Solutions

Understanding the Sales Process:

A sales process is a series of tasks that guide customers through the journey toward purchasing an organization’s products or services. For FMCG brands, where competition is fierce, an optimized sales process is essential for sustained growth.

Tips for Optimizing FMCG Sales Processes:

- Prioritize a Customer-Centric Approach

- Leverage Data-Driven Insights

- Stay Agile with Adaptive Strategies

- Integrate Technology, including CRM Systems

- Foster Cross-Functional Collaboration

Strategies to Increase Sales in FMCG:

- Effective Brand Positioning

- Strategic Pricing

- Robust Distribution Channels

- Impactful Promotional Campaigns

- Continuous Product Innovation

Client’s Profile and Business Challenge:

- Client: One of the world’s leading FMCG brands headquartered in the midwestern US.

- Need: Facing challenges in optimizing ROI by converting potential sales leads to closed sales.

- Impact: Quantzig’s solution improved sales efficiency, customer acquisition and retention, marketing effectiveness, and growth potential estimation.

Solution Offered by Quantzig:

To address the client’s challenges and create a data-driven, intelligent sales process template, Quantzig's analytics experts implemented a three-step solution:

1. Harnessing Internal and External Data:

   - Utilized internal and external data to recognize triggers that move customers through the sales process.

   - Identified gaps in the existing system and opportunities for optimization.

2. Identifying Gaps with AI and Predictive Analytics:

   - Employed artificial intelligence and predictive analytics to predict future activities and identify patterns.

   - Identified exact steps in the sales process that needed improvement.

3. Automating Processes:

   - Set up automated alerts notifying sales representatives of prospects’ movements in the sales process.

   - Enabled easy follow-up with prospects and identification of potential churn.

Value Delivered to the Client:

- Holistic approach to sales optimization without reliance on fragile spreadsheets or complex CRM systems.

- Improved efficiency in national portfolio and customer retention strategies.

- Identification of industry trends, sales trends, growth potential estimation, and optimization of sales and marketing effectiveness.

- Achieved a 12% increase in sales conversion rates over six months.

Optimize ROI with Quantzig’s Sales Analytics Solutions:

Quantzig, a pioneer in advanced analytics, empowers clients to turn complex, unstructured data into actionable insights. With a track record of over 16 years and 1500 in-depth solutions delivered, Quantzig offers expertise in Marketing Analytics, Customer Analytics, Supply Chain Analytics, and more.

In conclusion, this success story exemplifies the significance of a well-optimized sales process for FMCG brands. By adhering to key tips, implementing effective sales strategies, and navigating through each stage of the process, companies can overcome challenges and achieve sustained growth in a competitive landscape. The use of sales process templates ensures clarity and consistency in executing successful strategies.

For a complimentary 4-week pilot to test our capabilities, request a proposal from our analytics experts.

Request a Proposal

Connect with us for tailor-made solutions

[crmvoipsoftwaresolutions]

Everything You Need to Know About an Outbound Call Center

Many of you may still remember at least one instance of a persuasive call from an agent who would influence your buying decision sitting miles across. I still remember the day, when a call center agent nudged me into enrolling in an executive learning program. Sitting afar at an outbound call center, he listed out the merits and pointed out intangible gains that would last a lifetime. Truly, the power of the human touch and well-placed arguments can drive the customer through the sales funnel.  In the age of digital channels and AI (artificial intelligence) bots, outbound call center software may be perceived as an excess. However, in the long run, outbound call centers translate into a valuable asset to drive sales and customer experience. Let us understand its nuances and use.

What Is An Outbound Call Center? 

For most, a call center is just a setup for centralizing the customer service phone calling system using one of the best call center solutions. Normally, the distinction between outbound and inbound is overlooked and some also use it interchangeably. However, as an industry professional, you should have clarity.   An outbound call center refers to a facility usually set up for making outgoing phone calls by a business for sales, marketing, customer service, or general information. An outbound call center can be put to versatile use, depending on the organization. Public bodies and government offices also utilize outbound call centers for disseminating information and awareness initiatives, among others. A case in point is the widespread use of call centers for COVID-19-related information by government bodies worldwide.

Calculating Gains from Outbound Call Center

A simple principle deployed by any business is weighing the benefits versus costs. Before buying outbound call center software too, you should evaluate your gains carefully and make a wise decision. Traditionally, an outbound call center is perceived as a vehicle for communication by service providers like banks or insurance, not product companies.  However, today’s customer-centric focus has seen it shift from a nice-to-have list to a must-have for FMCG, e-commerce, and other industries shy of employing customer service for outbound calls. 

 Let’s take a quick look at a few benefits of an outbound call center. 

 Automation with Auto Dialers

Outbound call center solutions feature many advanced dialers nowadays that cut the time taken to dial each lead while automating the whole process. It is an efficient way to get the word out for a large volume of callers on the list. The auto dialers such as Predictive, Progressive, and Preview dialers completely change the calling process. Let us take a quick look at them. 

Predictive dialer

It is an automated dialing system for outbound calls. A predictive dialer dials each number from the contact list, eliminating the need for manual calling. It does this intelligently by detecting voicemails, unanswered calls, busy phone tones, disconnected or invalid numbers, and more. The agent is only notified when the phone is answered at the other end.

Preview dialer

Your sales and marketing teams are always juggling to fit in a maximum number of calls in a day and pick out leads. It is almost impossible to remember the details of each and every prospect before the call. A preview dialer can save you from misinformation and incomplete customer data by pulling out the relevant information before making the call. It will assist you in driving meaningful conversations and churning out qualified leads faster. Agents too feel empowered, which improves operational efficiency leading to zero downtime. 

Progressive dialer

This dialer is apt to focus on the premium customers and not get distracted by the clock. A progressive dialer only connects to the next customer once the call is over, mitigating call abandonments.

One-Click Announcements with IVR

Often the change in rules and regulations affects millions of customers in one go. You are required to meet compliance norms by informing each customer individually of any impact. Sometimes, customer awareness efforts comprise mass marketing, such as advertising campaigns to push app and website use and custom IVR (Integrated Voice Response) messages that guide customers on a particular aspect of product installation.  In such cases, IVR (Integrated Voice Response) in outbound call center systems can save you time and effort. You can relay customized automated voice messages to a large customer base in just a few clicks. 

Access Real-Time Reports

Ever wondered if the time and effort spent on calling customers are yielding any results? Or how did the agents fare on calling? 

With real-time reports available in outbound call center solutions, you can plan ahead and manage customer interactions better. One study found that the average difference in sales conversion rate between the top and bottom quartile performers was 230% in a particular industry operating.

How to Maximize Returns from Outbound Call Center: Use Case

Mostly only a handful of potential outbound contacts on the contact list are auctioned by companies. A Deloitte study found that a bank in the UK could potentially increase its revenue by 60 million pounds (based on a 5-year NPV) by giving a customer experience boost through outbound calls. The study found that calling the most profitable leads first with the highest predicted response could help the bank unlock the untapped revenue potential.  There is no one-size-fits-all solution. Outbound calling complemented with efforts such as digital and social channels can yield significantly higher results. Therefore, call center solutions provide these communication channels within the software. It is one of the most effective outbound call center tips that you should remember. A set of reports to monitor and measure calling activity by Gartner to understand agent utilization and productivity can aid you in devising the right plan, have a look. 

Adherence 

Occupancy 

Calls received

Calls handled 

Average handle time (seconds) 

Average wait time (seconds) 

After call Average time (seconds)��

Auxiliary codes

Calls transferred 

Outbound calls

Conclusion

In the era of customer-driven business, nothing is a panacea. Still, you can try to put your best foot forward and work towards establishing a comprehensive system to support your customer service and outreach needs. An outbound call center is one of the most important steps toward achieving excellence in customer service.

Using a powerful outbound call center solution can provide several advantages.

AC InfoSoft offers the best call center solutions for outbound call centers. The company also provides consultation and support services to set up or migrate an outbound contact center. Visit https://www.acinfosoft.com/ac-call-center-solution/ to learn more about outbound contact center solutions offered by the company. 

[jcmarchi]

How About a Customised Soap or Shampoo Created Using AI? - Technology Org

New Post has been published on https://thedigitalinsider.com/how-about-a-customised-soap-or-shampoo-created-using-ai-technology-org/

How About a Customised Soap or Shampoo Created Using AI? - Technology Org

Researchers have recently discovered a new way of making consumer items. They’ve developed a machine based on AI technology that can customise personal care products to your own requirements.

SINTEF has played a key role in the development of a Manufacturing Demonstration Facility (MDF), or ‘mini-factory’, in collaboration with the company Cody AS, based in Skien. Image credit: SINTEF

There is no shortage of soaps and detergents on the market. However, by customising these products, it is possible to meet consumers’ increasingly demanding requirements and at the same time make them more eco-friendly. 

“By enabling consumers to design their own personal version of a soap or detergent, we can minimise waste, exploit our resources more sustainably and get the product to the customer more quickly”. So says Chief Research Scientist Chandana Ratnayake at SINTEF Industry.

The demand for low-price consumer goods with short shelf lives and rapid-response supply chains is on the increase. Typical of these are the so-called ‘fast-moving consumer goods’, or FMCGs, such as food, personal care products, clothes and other household articles.

Kristin Soiland is a research scientist at SINTEF, pictured here testing the dosing unit for a powder ingredient being used in a customised detergent powder. Image credit: SINTEF

Specialisation in small-scale production

As a rule, detergents, such as soaps and washing powders, are mass produced. From a manufacturer’s point of view, they can in some cases also be very challenging to make, or ‘formulate’.

In order to be competitive, manufacturers have to balance increased demand with factors such as specific health and well-being benefits, allergies, individual taste, and other consumer requirements that may change very rapidly. They also have to take sustainability and environmental considerations into account.

This is the background to the EU-funded project called DIY4U, which is looking into how these challenges can be met by means of the development, manufacture and commercialisation of customised detergent products.

“Our aim here is to develop an approach to the profitable and sustainable small-scale manufacture of specialised products that can be offered to the industrial sector, businesses and entrepreneurs”, says Chandana Ratnayake.

Production of a customized detergent. Image credit: SINTEF

The market for powder- and liquid-based detergents is large and lucrative, but these products are also some of the most complex fast-moving consumer goods (FMCGs) to formulate.

“The formulation of powder- and liquid-based detergents is challenging due to the complex balance that has to be achieved between what we call surface-active agents, other chemical compounds and additive components” explains Ratnayake.

“These components are essential in order to prevent damage to the items being washed and harm to the external environment. The product must also be adaptable to a wide range of different water types and temperatures”, he says.

AI makes it possible

Researchers working with the DIY4U project have been collaborating with major industrial actors in the groceries sector and some small- and medium-sized businesses based in the EU. They have approached this challenge by developing a consumer-focused ‘open innovation’ digital platform that is connected to a fully automated, small-scale manufacturing facility (FabLab). 

SINTEF has been contributing with its expertise and access to pilot-scale test facilities for the handling of powders and particles. It has assumed responsibility for the testing and fine-tuning of customised mixing systems for the raw materials that go to make up powder-based detergents.

“By utilising digital technologies such as artificial intelligence, blockchain and advanced data analysis, consumers can be enabled to interact directly with the digital platform”, says Ratnayake. “This allows them to enter their own preferences regarding allergies, odour, colour and volume, as well as the types of stain that they would like to see removed”, he says. He goes on to add that a digital twin has been used to optimise production processes such as the mixing of ingredients and fragrance formulation.

Based on the preferences entered, the platform uses its knowledge base to suggest one or more formulations that meet the customer’s requirements, and to offer information about costs and environmental footprint. It then sends a notification to a Manufacturing Demonstration Facility (MDF), or ‘mini-factory’, in order to start the production process.

Expansion into multiple markets

The current MDF production facilities are modular, offering the potential to apply the concept to other products and services. This means that there is an opportunity to expand this innovation into other market segments such as cosmetics, food, drink and animal feed.

“In order to achieve this, we need both more research and innovation”, says Ratnayake. “We also want to see input from businesses about what they need when it comes to product customisation, special production processes, and more”, he says.

Ratnayake is thus looking to encourage any industrial actors, businesses and entrepreneurs interested in testing processes for new product development, innovative ideas and ‘added value’ to get in touch.

Creating opportunities for small and medium-sized businesses

The consumer-focused concept developed during the DIY4U project was made available to small- and medium-sized businesses by means of open innovation competitions. These businesses have played a key role in identifying ways of fine-tuning the digital platform and providing input to market analyses and feasibility studies.

The involvement of businesses resulted in increased market awareness and acceptance, as well as an opportunity to identify potential expansions into other sectors.

“To date, the concept has resulted in greater customer satisfaction. It has revealed market differences and potentially better pricing results, and the businesses involved in the project have provided us with positive feedback”, says Ratnayake. 

“The decentralised production process may also generate opportunities for small- and medium-sized businesses in markets currently dominated by larger corporations.

“But what about the price of these types of product?

“At present, it’s difficult to say whether these products will be cheaper or retailed at current prices”, says Ratnayake. “We’ve carried out studies into aspects such as business plans, ecosystem development and stakeholder commitment, and believe that prices will depend on how a given business plan is implemented when the time comes”, he explains.

The current project plan is to work to obtain new funding and support with the aim of attracting more end-users and market stakeholders. The project will also be working proactively with specific industrial sectors.

“Our intention is to build on the success that we have achieved to date and develop an advanced system in which end-users can design products that fully meet their needs”, says Ratnayake.

Source: Sintef

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[essglobe]

The fast-moving consumer goods (FMCG) industry is highly competitive and constantly evolving. In order to stay ahead of the competition, FMCG companies must leverage data-driven decision-making to analyse consumer behaviour, optimise supply chain management, and drive growth. The use of advanced technologies, such as business intelligence (BI) and analytics, is becoming increasingly important in addressing the complexities and challenges faced by FMCG companies. In this article, we will explore the top 5 analytics use cases of BI in FMCG industry and how BI can unlock growth and success.

The Changing Landscape of the FMCG Industry

The FMCG industry has experienced significant growth in recent years. However, this growth is heavily influenced by dynamic consumer behavior and changing trends. To adapt to these changes, FMCG companies need to make strategic decisions based on data and insights. This is where business intelligence comes into play. FMCG companies can reduce their vulnerability to changing consumer trends and make informed decisions that drive growth by leveraging the BI tools and analytics.

Challenges and Opportunities in Adopting Advanced Technologies in the FMCG Industry

Implementing AI and analytics in the FMCG industry is not without its challenges. Data quality and availability, a shortage of skilled data professionals, lack of standardisation, integration issues, and ethical considerations are some of the hurdles that FMCG companies must overcome to achieve success. Data silos, inconsistent formats, and security concerns can impact the quality of data, limiting its availability for analytical purposes. Without standardisation, comparing data across products, regions, and business units becomes challenging. Integrating AI and analytics with existing systems can be complex, and ethical considerations such as data privacy and bias must be addressed. Overcoming these challenges is crucial to leveraging the full potential of AI and analytics in the FMCG industry.

[contextualadvertising]

Different Ways Contextual Advertising Can Be Utilized to Drive Better Results

Since the ban on the use of third-party cookies by major browsers, Safari and Firefox, and Google working on an alternative. Advertisers have been on their toes to look out for an option. To which, contextual advertising has been a result-driven alternative so far. 

Consumers could also be targeted through conventional methods like affinity-based targeting, keyword-based targeting, or behavioral targeting. Let us now recap contextual targeting and move towards driving better results for advertisers through this method. 

What is contextual advertising? 

Suppose a user is reading a blog on 10 places to visit in Thailand, and on the sidebar, an ad for airlines offering heavy discounts is displayed.  On the other hand, the same user is shown an ad for a beauty brand. 

The chances of users engaging with airline ads are much higher than the beauty ad. This is because the ad was relevant to the user's interest and aligned with the content that was being consumed. There are higher chances of users engaging with the ad and in return, gaining better impressions and results.

Contextual advertising is an approach to targeting users with relevant ads without relying on third-party cookies. It examines the content of a web page to identify the main subject or topic. Keywords or Natural Language Processing (NLP), which use algorithms to decipher the meaning of the text, are used to do this. This is also followed by semantic analysis and dynamic creative optimization in some cases. Once the topic of the material has been established, advertisers utilize this information to target viewers with the most suitable adverts. 

How Contextual Advertising Drives Results?

Many innovative and effective approaches to target clients have been made available by the modern advertising industry. Contextual advertising is one such technique that correctly customizes the ad experience based on contextual triggers like faces, logos, location, weather, action, object, and semantic analysis.

For example, an FMCG brand wants to promote its drink on a hot summer day. With the help of contextual triggers, ads can be targeted to the desired audience at the right time. 

Google AdSense: One of the most well-known contextual advertising platforms is Google AdSense, which enables advertisers to target audiences depending on how they interact with content.

In-Game Video Ads: Contextual advertising works really well in-game and in-video. YouTube has been introducing in-video commercials for a while now, and in-game ads frequently show both before and during the game.

Native Ads: Another form of contextual advertising is called "native advertising," which uses location and other information to customize the ad experience while presenting sponsored material in the same style as other website content.

Dynamic Creative Optimization: With the help of the Dynamic Creative Optimization (DCO) method, contextual advertising may be improved and made more powerful. To choose the ideal creative for each user, AI algorithms analyze consumer engagement data and other pertinent signals.

With conversational advertising, brands get an overview of what user behavior could be. But with the help of artificial intelligence and machine learning, they can granularly target the audience based on their requirements. This approach to advertising can help brands drive better results and ROIs. 

Conclusion

To ace down the privacy concerns of the users, advertisers need to ace up their advertising approach. The best way to drive better results is by being relevant to the audience and ensuring their safety at all costs.

[reportstore]

AI is turning consumer goods brands into tech ones – and customers into R&D

AI is changing numerous industries dangerously fast, and the area of quick consumer goods is no exemption.

Artificial intelligence, all the more usually known as AI, is transforming numerous industries dangerously fast. The area of quick consumer goods (FMCG) is no special case. The universe of consumer bundled goods sold rapidly and economically is being changed by technology that, while not necessarily inexpensive, can set aside cash through the quick computerization of cycles and workflows.

To explain what's going on, how about we take a gander at the association between machine learning and Coca Cola vending machines. The bubbly drink behemoth today offers 4,000 drink choices through the main Coke business and various brands it possesses. A long time back, 165 of those refreshments started to be presented in a touchscreen vending machine called the Coca-Cola Free-form, which allowed consumers an opportunity to blend and-match Coke branded items. A celebrated soft drink fountain, the Free-form machine could present to 200 variations on these items, mixing and dispensing drinks as required.

The masterpiece was that these machines were cloud-associated and AI-empowered. Information was being gathered on what kind of combinations clients were ordering from the Free-form and utilized by Coca-Cola for market research for future items. From this cycle was conceived cherry-enhanced Sprite, an extremely durable and popular expansion to the brand's mammoth drink range.

Stories like this show why consumer goods is investing vigorously in AI. As a new GlobalData topical research on AI in consumer goods reports, worldwide AI stage income in consumer goods will develop from $1.2bn in 2019 to reach $3.5bn by 2024. This is over the market normal of 20.8% that GlobalData predicts for a similar period of time.

For consumer goods, AI is quick becoming a method for utilizing its information proficiently and figure out what items their clients need, nearly skipping conventional Research and development organizes totally.

Delightful machinations in consumer goods Smart vending machines aren't the main information hungry gadgets that prowl among customers. In the case of something is computerized, then gathering data is capable. Snare it online and that information can be shared. Allow machine intelligence to examine that information and even the calmest highstreet turns out to be part of the AI revolution.

It's not just drink brands who are benefitting from AI and client interaction. Excellence brands are likewise among the greatest innovators in FMCG, with a large number of them combining AI with the similarly advertised tech of expanded reality .

L'Oréal's expanded reality (AR) brand Modiface offers devices to help both online and offline clients find the right item for their particular skin and hair necessities. In-store screens twofold as advanced cosmetics mirrors, using AR to apply various shades progressively. This is made conceivable by AI-fueled examination of information given by cosmetics brands and L'Oréal's photograph data set of 6,000 clinical pictures.

Because of Coronavirus restricting in-store discussions, various magnificence organizations are additionally investing in AI and AR. Startups like Nudest are using AI to find the right item for consumers regardless of skin tone, trained on selfies sent in by volunteers of all skin tones. Nudest's Nudemeter device has since been taken on by brands, for example, Naked Barre and Spktrm Magnificence to match client to item skillfully. Any holes in the market for those with less-provided food skin tones will prompt new items, echoing the Coca-Cola Free-form try.

[assetfinx]

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[thejoanglebook]

AI Infusion in Fast-Moving Consumer Goods

Artificial Intelligence AI in FMCG Industry helps to gain actionable insights and create great experiences for the end-users. The customer journeys have migrated to online platforms that can map out compelling promotion of consumer goods for the buyers.

Any inquiry or customer request generates a data set that is decoded into understanding consumer behavior. It helps in micro-targeting and establishing conversational-AI strategies for the FMCG sector. Machine learning use cases in FMCG from raw materials to finished goods to directly delivering to end consumers are optimizing the FMCG Businesses.

Good usage of data enhances shopping experiences and gives insights into sales forecasting, product placement, and much more. It is getting increasingly challenging for CPG in the fast-moving consumer goods sector to sustain profits if not integrating artificial intelligence to streamline the value chain.

AI can categorize market segmentation for retail stores and customers based on demographics. The product development patterns can detect and help in understanding the seasonality on fact-based information and gives insights optimizing price points at all distribution levels.

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[deciphertechae]

AI Predicts Dubai's Next FMCG Craze: Win with Data-Driven Trends!

Introduction  Dubai's Fast-Moving Consumer Goods (FMCG) sector is about to undergo a revolution, thanks to cutting-edge Data Science solutions. In this article, we explore the impact of data-driven trends on the FMCG Sector in dubai, uncovering the potential for businesses to thrive in this dynamic market.

The Rising Significance of Data Science in Dubai's FMCG Sector

In recent years, the FMCG sector in Dubai has seen a surge in competition. To stay ahead, companies are turning to Data Science solutions for valuable insights. This section delves into the growing importance of data-driven strategies and their impact on decision-making processes within the FMCG industry.

Understanding Data Science Solutions for FMCG in Dubai

Unraveling the Power of Predictive Analytics

Explore how Predictive Analytics, a subset of Data Science, can anticipate consumer trends and behavior, enabling FMCG businesses to proactively meet market demands. We discuss real-world examples and success stories from companies leveraging this technology.

Demand Forecasting with Machine Learning

Delve into how Machine Learning algorithms are revolutionizing demand forecasting for FMCG products in Dubai. Discover how accurate predictions can optimize supply chains, reduce waste, and enhance overall efficiency.

Personalized Marketing Strategies through Data Analysis Explore the role of Data Analysis in tailoring marketing strategies to individual consumer preferences. From targeted advertising to personalized promotions, discover how data-driven insights can significantly improve customer engagement.

The Current Landscape: Data Science Solutions for FMCG in Dubai

This section provides an overview of how various FMCG companies in Dubai are currently leveraging Data Science solutions. Case studies and success stories highlight the tangible benefits these businesses have gained in terms of market share, customer satisfaction, and operational efficiency.

Overcoming Challenges: Implementing Data Science Solutions in FMCG

Data Privacy Concerns

Examine the challenges and concerns related to data privacy when implementing Data Science solutions in the FMCG sector. Discuss the strategies and best practices that businesses can adopt to address these issues responsibly.

Integration into Existing Systems

Explore the intricacies of integrating Data Science solutions seamlessly into existing FMCG operations. Highlight the importance of a well-thought-out implementation strategy and potential pitfalls to avoid.

Future Trends: What Lies Ahead for Data Science in Dubai's FMCG Sector

Explore the upcoming trends and innovations in Data Science that are set to further transform the FMCG sector in Dubai. From advanced AI algorithms to enhanced data visualization tools, understand how staying ahead of the curve can provide a competitive edge.

Conclusion: Navigating the Future with Data-Driven Precision

In conclusion, this article emphasizes the transformative power of Data Science Solutions for FMCG in dubai. Businesses that harness the insights provided by these advanced solutions will be better equipped to navigate the evolving market landscape, ensuring sustained growth and success.

How Decipher Technology can help you with the FMCG Sector in Dubai?

Decipher Technology stands at the forefront of providing state-of-the-art Data Science solutions tailored for the unique challenges of the FMCG sector in Dubai. From predictive analytics to demand forecasting, our suite of tools empowers businesses to stay ahead in the competitive landscape, ensuring success and growth in the dynamic Dubai market. Contact us today to unlock the full potential of Data Science for your FMCG business.

FAQs: Unveiling the Secrets of Data Science Solutions for FMCG in Dubai

How can Data Science benefit small-scale FMCG businesses in Dubai?

Explore the ways in which even smaller FMCG enterprises can leverage Data Science solutions to compete with industry giants, from cost-effective implementations to targeted marketing strategies.

Are Data Science solutions only for predicting consumer trends?

Delve into the multifaceted applications of Data Science in the FMCG sector, beyond predicting trends, including supply chain optimization, personalized marketing, and operational efficiency improvements.

What are some real-world examples of FMCG companies successfully using Data Science in Dubai?

Highlight specific case studies of FMCG companies in Dubai that have witnessed remarkable transformations and business growth through the implementation of Data Science solutions.

[agus2018]

About TheCanCoin($CANNA) Project.

https://thecancoin.com/

#TheCanCoin #cryptocurrency #blockchain #decentralization #DeFi #Cannabis.

A Large Frontier Market

The legal cannabis industry is a multibillion-dollar market encompassing sectors such as healthcare, pharmaceuticals, FMCG, and industrials. The Euromonitor has projected an increase in legal cannabis sales from $30 billion in 2020 to $95 billion by 2025.

What is the Cancoin?

The legal cannabis industry is a multibillion-dollar market encompassing sectors such as healthcare, pharmaceuticals, FMCG, and industrials. The Euromonitor has projected an increase in legal cannabis sales from $30 billion in 2020 to $95 billion by 2025.

Why The CanCoin?

Track & Trace

To finance seed-to-shelf tracking technologies (from genetics to finished products).

DNA Storage

To finance DNA software storage and tracking technologies that allow for the customisation of plant-based medicine based on each individual’s DNA.

Medical Use

To finance the development of a monitoring app for medical cannabis patients, as well as the development of secure medical ID cards for cannabis patients.

Payment

To finance new payment gateway solutions for cannabis products (TheCanCoin wallet).

New Standard

Establish a new industry standard currency for global payments and processing

Tokenized Crowdfunding

Application of “TheCanCoin” to crowdfund emerging private cannabis businesses.

Mission of CanCoin

CanCoin mission is to resolve friction points that are currently affecting the cannabis industry participants. It will distinguish itself from other cannabis-related tokens through its comprehensive blockchain-powered cannabis solution incorporative five main technologies, Blockchain, Artificial Intelligence, Smart Databases, Automated Incentive Tokens, Smartphone Application.

Features of CanCoin

CanCoin aims to penetrate the market by offering tools and a quality user experience to companies across the cannabis value chain

Track and Trace Solutions to increase transparency — CanCoin integrates seed-to-shelf technologies, mimicking a verticle integrated network. This helps track the journey of the flower from genetics to the finished product retail through cultivation, processing, extraction, and transformation. It will also track the product’s shelf life. With this, companies can monitor their supply chain and inventory management closely, ensuring timely distribution of products and minimizing stock surplus.

Payment Solution — Featuring the CanCoin wallet, CanCoin offers financial payment gateway solutions. With the availability of cryptocurrencies and high-risk payment portal platforms such as Cloudpay technologies, cannabis-related financial trades are becoming easier. With CanCoin, businesses are able to transact without limitations as they are not subjected to any bank imposed limits thanks to immutable and open ledger-based blockchain technology.

DNA Storage & Data — CanCoin features technology to store and track DNA. The collected data along with CanCoin’s machine learning and AI capabilities can allow businesses to improve and customize their offering further allowing for better matches to customer requirements. Customers can also benefit from the hyper customized experience of plant-based medicine which is specially tailored to each individual’s DNA and history of buying behavior.

Digital Medical Identity & Patient Data — CanCoin platform features an encrypted digital medical ID card to identify legitimate medical cannabis patients. To further improve patient data outcomes, CanCoin will allow patients to integrate their DNA profiles into the encrypted platform. Research suggests a person’s DNA profile plays an important role in how medical cannabis interacts with the person’s endocannabinoid system.

Augmented Reality NFT — One of the key differentiators would be its Augmented reality NFT. This exciting feature allows the user to plant and grow their virtual cannabis plants and grow their virtual cannabis plant anywhere via their mobile. Adding to this, NFT’s can be used to redeem in-store discounts on cannabis or its derivatives.

NFT Game — Users will have access to a virtual farm where they can have multiple Cannabis NFT growing. In the virtual environment, they can grow their plants by way of using their water/fertilizers NFT to make their plat grow. This not only allows users to unlock store discounts by growing their plants to the maximum level but also have fun while doing so and to win prizes from the project.

Ecosystem of CanCoin

Decentralized oracle service — CanCoin utilizes Chainlink’s Decentralized Oracle Service (DOS) to extract information from the real world into the blockchain. CanCoin revolutionizes the Cannabis Supply Chain industry by leveraging on DOS, enabling its innovative solutions such as dynamic NFT’s and distributed ledger technology to track products.

Dynamic NFTs — Dynamic NFTs are non-fungible tokens that trigger a series of actions, often through the use of an oracle: for example, whenever a user with CanCoin NFT makes a purchase in-store, Chainlink oracle’s retrieves the transaction records and automatically upgrades the NFT, allowing this user to earn discounts on future purchases.

Distributed Ledger Technolgy — Use of DLT to track products from seed to shelf. Key internal stakeholders will be able to monitor and view details of the product movement, ensuring operational security and continued business operations. The public on the other hand will be able to see if the delivery was successful.

CanCoin Wallet — CanCoin will have a mobile wallet. That will be simpler to use and offer a safe place to store your CanCoin tokens. This will make sending and receiving CanCoin tokens quick and easy. CanCoin wallet will be available for free to download on Windows, Linux, and OSX. CanCoin can be bought directly to your wallet bypassing any need for CEX or DEX. Users can make their purchases through CacCoin tokens using scanning QR Codes. NFT staker and unlock will be directly available on the wallet.

What is CanCoin ( CANNA) Token?

CANNA is the backbone of the CanCoin ecosystem. Being a native currency of the platform it has various use cases. Shops and pharmacies can provide additional deals in order to encourage CanCoins token payment in order to achieve fast mass adoption.

Token Utility

Price Discounts — Discounted deals in CanCoin Stores.

Prime Goods — Purchase NFT and unlock higher tired discounts.

Extra Goods — Buy one get one free of charge from CanCoin type of deals.

Free Samples- CanCoin buys and gets free samples of the items.

Tokonomics

Token adress: 0xcBed7180e61f82Aa9bBC1f59aFAA7D57faB588Ac

Symbol: CANNA

Decimal: 18

Max supply: 420.000.000

Circulating supply:210.000.000

Consensus model:Proof of Reputation (PoR)

Platform:Binance Smart Chain (BSC)

Utility:Decentralised Oracle Services (DOS),

Dynamic Non-Fungible Tokens (NFTs),

Distributed LedgerTechnology (DLT)

What is DOS?

Dos Network describes itself as a decentralised oracle service supporting multiple heterogeneous blockchains. about Network purports to bring real-world data, event, and computation power to smart contracts in a secure, reliable, efficient and scalable way.

Production agents can upload the manufacturing process to the blockchain

What are Dynamic NFTs?

Dynamic NFTs are non-fungible tokens which trigger a series of actions, often through the use of an oracle: for example, they can trigger real-world events in off-chain systems, be triggered by real-world events or interact with other on-chain components, like smart contracts and other NFTs

Token Distribution

40%For the token generation event

15%Is held i reserve serves as liquidity pool to manage token volatility

5%For Pre and post token bounty

15%For immediate team with vesting (20% of this for advisors before, during and after ICO)

25%For contributors and reward parties that contribute assets, IP or services in the ecosystem

RoadMap

Our team is compounded of veterans within funding, finance, DeFi, crypto, cannabis and marketing

Daniel Daboczy, CEO / Stockholm / Singapore

Daniel is a veteran within FinTech and equity crowdfunding (founder of FundedByMe) and has helped with the successful funding of more than 650 companies. He also has a great eye for marketing and knows what is needed to reach the next level. Before Daniel got into FinTech, he was an art curator of very successful exhibitions in Sweden, and he uses this knowledge to innovate creative NFT collaborations with new and experienced artists within music, art and digital works.

David Bonnier & Amaury de Poret

David Bonnier and Amaury de Poret are the co-founders and investment managers of Enexis AB, one of the first cannabis investment companies in Europe.​ Being investment professionals with more than 40 years of combined experience in the financial industry and alternative assets speak for itself.

Advisors

Malcolm Tan

Singapore

Crypto expert and crypto advisor. Author, speaker and ICO/IDO advisor

Scott de Mercado

London

Founder of Audiotube and co-founder of Cannabis Delivery Sciences. A business developer and entrepreneur with a massive network

Jonas Saeed

Los Angeles

Cannabis industry expert North Americas, serial entrepreneur

Cryptologicals:

Singapore

Marketing and content specialists. Crypto and Financial Literacy strategists

http://cryptologicals.io/

Massfluencer:

Singapore/Stockholm

World’s most advanced data-driven influencer marketing company with access to 100M influencers in 213 markets

https://www.massfluencer.com/

Transform Group:

New York

The #1 Blockchain Communications Company in the World

Conclusion

CanCoin utilizes blockchain to streamline payments and processing, management of inventory and medical cannabis cards, patient monitoring, and tracking from seed to shelf as well as introducing NFTs and DeFi into the ecosystem. TheCanCoin is not only a chance to catch up but truly maximize the opportunity in Europe while ensuring a secure and serious approach to this fast-growing industry and expected wave of legalization

Read More Here

Website: https://thecancoin.com/

Read WP: https://docsend.com/view/wx627h53f5xeczdw.

Sosial

1) Join Facebook: https://www.facebook.com/thecancoin

2) Join Instagram: https://www.instagram.com/thecancoin/

3) Join LinkedIn: https://www.linkedin.com/company/the-cancoin/

4) Join Telegram: https://t.me/thecancoinofficial

5) Join Twitter: https://twitter.com/thecancoin

6) Join Telegram https://t.me/BountySofico

7) Join Telegram https://t.me/sofico_ann

Author

Bitcointalk Username: Empuh Gandring

Bitcointalk Profile Link: https://bitcointalk.org/index.php?action=profile;u=3239936

Telegram Username: @Empuhgandring

BEP20(BSC) Wallet Address:

[datenwissen]

There are so many use case & benefits of AI in FMCG industry which leads to process automation & business growth.

[gmiresearch]

5G Services Market Research Report

Global 5G Services Market

The GMI Research forecasts that the 5G Services Market is witnessing an upsurge in demand over the forecast period. This is mainly due to the faster speed and low latency offered by these services to improve the user's experience.

Request for a FREE Sample Report on 5G Services Market

Introduction of the 5G Services Market

5G wireless mobile services 5G is the fifth generation technology standard for broadband cellular networks, which allows a fully mobile and connected environment by delivering a wide range of use cases and business models to consumers. It is the new wireless standard after 1G, 2G, 3G, and 4G networks.

Key Players of the Global 5G Services Market:

·         AT&T

·         China Mobile

·         SK Telecom

·         Verizon

·         BT Group

·         Deutsche Telekom

·         China Telecom

·         Orange S.A.

·         T-Mobile

·         Vodafone

5G Services Market Dynamics (including market size, share, trends, forecast, growth, forecast, and industry analysis)

The most crucial driver stimulating the growth of the global 5G services market is the augmenting focus on power supervision and management to sustain an improved control on energy creation and distribution. In addition, the extensive implementation of the technology across public transportation applications like buses and fast-moving trains accompanied by faster data speed and less intermission will further strengthen the 5G services market size. The mounting need to modify the mobile broadband experiences has fuelled the market growth. The network delivers a better broadband experience of up to 1 Gbps and <10ms with a platform for AI-based services and the cloud. Like Business 2 Business and individual, the different data-intensive applications are increasingly using AR, VR, and video. Furthermore, as per the 5G services market research, the surging demand for better data connectivity for unified Internet of Things (IoT) applications, such as smart home energy management, contributes to the market growth. In accordance with the National Health Expenditure Accounts (NHEA), the overall expenditure on healthcare is expected to reach over USD 6 trillion by 2028. However, the inflated prices declared by the governments for service providers to procure the 5G and the increase in service subscription value will hinder the 5G services market share.

5G Services Market Segmentation:

Segmentation by Application

·         Smart Cities

·         Connected Factories

·         Smart Buildings

·         Connected Vehicles

·         Connected Healthcare

·         Connected Retail

·         Smart Utilities

·         Others

Segmentation by End User

·         Consumers

·         Enterprises

Segmentation by Communication Type

·         Fixed Wireless Access and Enhanced Wireless Broadband

·         Massive Machine-Type Communications

·         Ultra-Reliable Low Latency

Segmentation by Enterprise

·         Manufacturing

·         Media and Entertainment

·         Government

·         Energy and Utilities

·         Transportation and Logistics

·         Healthcare

·         Others

Segmentation by Region:

·         North America

o   United States of America

o   Canada

·         Asia Pacific

o   China

o   Japan

o   India

o   Rest of APAC

·         Europe

o   United Kingdom

o   Germany

o   France

o   Spain

o   Rest of Europe

·         RoW

o   Brazil

o   South Africa

o   Saudi Arabia

o   UAE

o   Rest of the world (remaining countries of the LAMEA region)

About GMI Research

GMI Research is a market research and consulting company that offers business sights and market research reports for every enterprise, including small & medium enterprises and large organizations. Our research team helps the clients to understand the impact of market dynamics such as market size, share, drivers, growth opportunities, and other aspects. We have a team of analysts and industry experts who conduct market intelligence studies to ensure relevant and fact-based research across a wide range of sectors such as FMCG, Technology, Energy, Healthcare, and other industries. We collect relevant information about the industry using both internal and external databases. Our main focus is to keep our clients abridged of the emerging opportunities and challenges in a wide range of industries. We provide step-by-step assistance to our client through strategic and consulting services to reach a managerial and actionable decision. Featured in the ‘Top 20 Most Promising Market Research Consultants’ list of Silicon India Magazine in 2018, we at GMI Research are always looking forward to helping businesses stay ahead of the curve.

Media Contact Company Name: GMI RESEARCH Contact Person: Sarah Nash Email: enquiry@gmiresearch.com Phone: Europe – +353 1 442 8820; US – +1 860 881 2270 Address: Dublin, Ireland Website: www.gmiresearch.com

[sandlerresearch]

Supply Chain Management in Consumer Goods - Thematic Research published on

https://www.sandlerresearch.org/supply-chain-management-in-consumer-goods-thematic-research.html

Supply Chain Management in Consumer Goods - Thematic Research

Supply Chain Management in Consumer Goods – Thematic Research

Summary

Supply chain management processes in many businesses are constantly under review as their optimization can lead to cost reductions and improved processes. Advancements in technology and the pandemic have contributed to organizations awareness on this topic and influenced how different organizations are managing supply and demand.

Supply chain management in consumer packaged goods is the management of the procurement of raw materials, through to the manufacture and distribution of finished goods. From end-to-end of this process in any business there are multiple touch points and processes to ensure everything is managed smoothly and safely. The role of improving supply chain management in most organizations is to optimize efficiencies and maximize cost-effectiveness.

Scope

– Due to the broad nature of supply chain management, the planning landscape can often be quite fragmented with several different inputs and variables. Therefore, new ways of managing supply chains, often utilizing technology can be of great benefit to FMCG companies. – Automating systems and using artificial intelligence (AI) in supply chain processes can mean that there is less time spent on server administration and more time spent on planning, which helps keep focus on core and strategic business functions and also reduce the margin for errors. – In a global context of changing consumer behaviors and values, effective supply chain management can also aid distribution and the flow of information. Linked with this is also the topic of sustainability which consumers are demanding more transparency on and supply chains need to adapt in order to manage such things as waste reduction.

Reasons to Buy

– Develop business strategies by understanding supply chain management issues and technologies affecting and shaping specific consumer goods sectors and different areas of the consumer goods value chain. – Support your internal business case for investment in supply chain management by including an independent view of how you rank against competitors in a key technological theme that will disrupt the consumer goods industry within the next 1-3 years. – Identify key players in supply chain management in the consumer goods industry for potential partnerships or acquisition, based on their areas of expertise. – If you are a consumer goods company, you can review the competitive landscape and analyze the performance of various competitors, identifying your weaknesses and informing your business development areas.

[gomangodigitalblog]

Chatbot development trends in 2020

Chatbot development trends in 2020

Featured Image Courtesy: https://www.techaffinity.com

Chatbots are a phenomenal breakthrough in the field of AI. The industry is all set to hit a trillion dollar mark by the end of 2024. It is also estimated that 47% of customer care calls will be handled by intelligent chatbots. Also, 40% of health-care Virtual assistants will be chatbots indeed.

Simple user based queries can be handled by these chatbots or virtual assistants in a placid manner. Developers are also working around advanced predictive analytics facilitating more naturally flowing real-time conversations.

Helping you unveil some of the top Chatbot development trends for 2020:

Develop chatbots that are more human-like

Presently chatbots are unable to understand multilingual accents of people across the globe. The chatbots need to understand the right intent behind what the query of the customer is. Only then, will they be in a position to resolve customer grievances in an effective manner. With this aspect in mind, mobile developers develop chatbots taking help from varied technologies. These include Machine Learning (ML), Artificial Intelligence (AI) and Natural Language Processing (NLP).

This way, chatbots can grasp the varied accents or dialects of people residing across the globe. Thereby providing the right kind of support or help.

AI works at call centers

Businesses can easily migrate to technologies supporting AI. These include usage of chatbots, virtual assistants, messaging platforms, etc. First level queries can be handled by conversational chatbots without much of a problem. These include

Changing passwords

Scheduling appointments with doctors or dentists

Requesting for a bank balance or a statement print of account details, etc.

Providing a 24/7 customer support for educational help lines, health-care centers, etc. can prove to be very expensive to afford. Given the amount of training to employees to adapt to multiple lines of business and handle queries of customers speaking different languages!

Hence, conversational bots can save 20-30% of the overall cost of running call centers across the globe. Moreover, the attrition rate among call center employees remains at 30-45%. This particular constraint can be resolved by emerging chatbots in a hassle-free manner.

Messaging platforms

Chatbots are able to initiate quick conversations with customers who are wanting to buy products online. You must have encountered it yourself. When you log into a website, you have an instant chat window opening in front of you. It asks if you would need any assistance in going further. This can be a perfect example of a chatbot handling the messaging board very intelligently.

It has roughly been estimated that around 68% of consumers prefer shopping for online products or services with chatbots. The chatbots provide a complete overview on what kind of products an e store offers. It helps them locate products from a store. The Virtual assistant further facilitates the sale of the product. Furthermore, an efficient degree of after-sales service is also provided to consumers in a friendly manner. This way, the brand awareness of the firm catapults. Customers love engaging and pleasant conversations that chatbots provide to them. This way, chatbots go a long way in improving customer service and automating sales.

Voicebots

Today, you have a number of mobile companies developing simple and easy chatbots helping you perform various functions. You have Siri, Alexa and Google Assistant doing the rounds for Android and iOS platforms. Starting from helping you track calories on your fitness jog up until keeping doors or windows closed at nights, the electronic surveillance machines do everything for you.

You can use voice bots at banks too to automate varied functions like filling out deposit forms, opening accounts, closure of accounts, etc. This way, when too many customers are there to attend to, voice bots can take over.

AI-pioneered chatbots to help social media

Thousands of brands emerge via Facebook, Instagram and Twitter. You have FMCG companies raising their brands via FB and Instagram. You have travel firms showcasing their brands via Twitter, FB and Linked In. You have Snap chat providing customers with instant chat facilities.

Hence social media channels may see a huge upsurge of products or brands that get launched online. This being the case, you will have millions of purchase related queries posed by online shoppers who would love buying products or services. Hiring customer support agents or shopping assistants to answer queries repeatedly can be an expensive affair. Automated chatbots may channelize this field too. Simple price related queries or product description queries can well be answered by pre-programmed chatbots or virtual assistants too. Hence chatbots will be taken squarely by social media biggies too.

Food chains

Chatbots are now the preferred marketing personnel of the booming digital era indeed. As these chatbots work tirelessly, you have consumers hooked to conversing with them. Be it apparels, food industry, airlines, health-care or educational sector, you have chat bots or AI programmed virtual assistants taking space at every miniscule corner.

Burger King, Dominos and Pizza Hut have started making use of Food bots to help consumers in a wide-spread manner. Starting from finding tables, ordering food, the foods delivered right across and getting the bills paid by customers, everything is well taken care of. You can order via Food bots at your home too. This can be done via your I-pads, tablets and mobile devices. Some companies have gone a step further to automate ordering and delivery of food. You can have drones delivering pizza packs and a lot more.

Chatbots can take payments

Digital wallets can be organized by leading banks to make payments hassle-free. Instant messaging can be facilitated via FB messenger. You make sure that your customers don’t leave the app while they make the final payments. Conversational bots can allow customers to buy products based on the pricing or the budget they have on mind.

Similarly, digital wallets connect consumers to buy or sell products on a 24/7 scalability. MasterCard has recently organized a chatbot in order to facilitate consumer payments. You can check your account balances. The Virtual bots help you set payment alerts. And also pay or receive money from your business partners. This way, chatbots are entirely helpful in making digital wallets a grand success.

HR initiatives

As you know, Human Resource comprises a tedious and repetitive set of activities that are highly time-consuming. If you look at the overall proforma of the HR unit, there are quite a lot of mundane activities that can easily be tackled via chatbots or virtual assistants. Let us see how this can be done in three real-time scenarios

Human Resource or HR-

As you all know, HR is the pulse of every company. You can use chatbots to help new employees answer basic HR related queries. Plus these bots can complete transactional HR services too. Say like initiating new bank accounts for on-boarding employees or giving them a TPin to access the company’s ATM.

Employee On-boarding

Employee on-boarding is the most complex and time consuming HR initiative. The personnel have to screen through file applications, have a look at relevant employment docs and so on. You can allow chatbots to initiate the interview handling process. You can allow them to field screening questions and simultaneously capture answers too. You can also allow chatbots to guide new hires through the internal policies of the company.

Internal Help desk

Chatbots can handle the IT desk by answering common queries in a neat and stream-lined manner. The bot can answer repetitive queries and can increase the response time too.

Conclusion

These are the 7 fascinating chatbot development trends for 2020. You have AI automating a variety of human functionalities. While many employees fear it might cost them their jobs, there is a positive side added to it. You can allow new employees to directly apply for Senior positions as mundane aspects of the job can be automated by the bots. Hence, decision making or intense management policies can be designed by career focused individuals who have the potential to tap into.

About Us

For your daily dose of technological updates get connected to Mango Digital via https://mangodigital.solutions/ For every tech hangover, there is a Mangoer. Mango Consulting is one of the leading web design & development companies in the UK. We specialize in the field of mobile app development, content writing, IT support, digital marketing at very much affordable prices.