#Supply Chain Management Software

[lifecarelogistic]

What New Features Should A Logistics Software Have?

The Right Platform for Your Organization

Most customer service providers has a single platform that they use for all their products. For example, if you’re an online fashion retailer, you might have your website, blog, mobile app, and social media platforms. If you’re a manufacturer, you may have your website, blog, and online store. However, there are advantages to each of these platforms individually, as well as in collaboration. These platforms allow you to create content, distribute news and updates, manage your blog, track your sales, and much more. Top Logistic Companies in India always prefer newly invented features and logistic software to use in a company that is profitable for progress and update.

Track and Trace

Traceability is a crucial aspect of any business’s operations. If someone were to hack into your systems, they would be able to see everything from where you build your products to the products you sell. If you don’t have a traceability strategy in place, it could make it harder for law enforcement and financial institutions to steal your data. For example, if a customer’s card was stolen at a store, the police and financial institutions would be Questioned by the thief.

Expertise

You can’t run a business without having expertise in some aspect. For example, you can’t call the shots in the financial planning department. You have to have an understanding of investment advice, taxes, insurance, and other financial products. However, when you have expertise in one area, it helps to place other aspects in a broader context. For example, your customer service team can provide expert advice in customer service, but if they were to handle every situation expertly, they would be holding back on other aspects of the company.

Add Value

Add Value is the key to any business’s success. When you have expertise in one area and a scalability problem leads to the need to add another, you have an opportunity to make a difference. For example, let’s say your company manufactures an app that helps people track their landmass. If someone were to steal your app and make a copy, they could easily take over your business. You have an opportunity to make a big difference by implementing traceability within your app.  

Conclusion

A logistics system should represent a single source of truth for all your stakeholders. This single source of truth enables you to offer a high level of assurance that your goods and services will reach their destination efficiently and effectively. Whether your organization is a start-up or a large enterprise, you need a strategy that encompasses the new capabilities that the blockchain promises.  

[valtitude-demandplan-forecasting]

Demand Planning Overview:

Demand Planning Basics

Mechanics of the Forecasting Process

Organizational Structure

Role of a Demand Planner

[valtitudetechnologies]

BETTER USE OF CAUSAL MODELING :

Set alert thresholds to enable modeling by exception 

Uni-variate forecast alerts  

User defined macro alerts 

Create a more streamlined planning process and organization by asking the right questions: 

Has APO helped improve our forecast accuracy? 

Are there products and customers that are better left to APO's automated modeling strategies? 

Am I using a segmented modeling approach? 

How many customer/product segmentations are being reviewed by my demand planners each month? 

Are the statistical models tuned? How do we set the various model parameters to produce good forecasts? 

Am I using an exception-oriented process in my forecasting activity? 

How is APO helping us simplify and improve the promotional planning process? Is it integrated into the CRM system? 

Have I created the correct customer grouping for leveraging correlations across customer forecast errors? 

Has the system simplified and improved forecast reporting process? 

Are we using the system defined error metrics in APO? 

[valtitude-demand-planning]

Event Modeling with Casuals

A typical intervention model using either Box-Jenkins or Holt-Winters methods can help model events as interventions.  This allows you to model even unusual events such as the 2020 Covid19 Pandemic in the United States. A simplified event modeling equation will look like -

Unusual events are also known as black swans. How do we prepare for Black Swan events?

Black Swan events are those highly unpredictable events that occur out of nowhere and cause a systemic shock to the process and the way we do things.  They may perennially alter the way we conduct our business.

[valtitude-demand-planning-s-op]

Demand Planning Overview

Planning objectives

The Service – Cost – Balance Model

Define your Plan

Budgeting vs. Forecasting vs. Planning

Beyond Statistical Forecasting

Key Components of a Demand Plan

Terminology in Planning – Forecast Horizon, Buckets & Periodicity

Forecast Pass

Demand Management

[valtitude-forecast-pro-trac]

FORECAST VALUE ADD REPORTING

With Forecast Value Add reporting you can track accuracy across each step of your forecasting process. Easily compare the statistical forecast, final forecast, and/or specific overrides to what actually happened. This at-a-glance report helps you quickly identify which steps or participants in your forecasting process are adding value and which are making your forecasts less accurate.

[valtitude-integrated-business]

OUR CONSULTING MODEL EMPLOYS THE SIX-SIGMA METHODOLOGY OF DMAIC

Define

Measure

Analyze

Improve and Control

Because of the diverse experience of DemandPlanning.Net Consultants, we can design and deliver the process in almost half the time and resource costs required by some of the bigger consulting houses. We add value to your process design in two ways:

With our knowledge base of best practices and the benchmark industry process, we can analyze and recommend processes and benchmarks rather quickly

Our central philosophy is exception management grounded in the Six-Sigma principles. This helps design a very effective process that is time-efficient as well

A quick three week engagement to assess your organizational readiness for implementing IBP

[valtitude-inventory-optimization]

Economic Order Quantity and Purchase Quantity Discounts:

Principles of Inventory management

Economic Order Quantity

Derivation of the EOQ

Determinants of EOQ

Ordering Costs versus Carrying Costs

Components of Inventory carrying/holding costs – capital, storage, obsolescence, handling (breakdown) and their impact

Estimating Inventory Carrying costs for various industries

Purchase Quantity Discount

[valtitude-modeling-sap-ibp-scm]

Modeling & Metrics in SAP IBP & SCM

SAP IBP is a powerful tool that can help you create better demand forecasts and finished goods plans, when properly implemented together with appropriate training for the planning professionals. IBP DP facilitates creating a Statistical Model using a menu of statistical algorithms and automatic model selection procedures.

SAP IBP has seven different error metrics. There is a lot of confusion and which ones to use and how to use them and what they really mean. 1. How many of them are you currently using in your modeling? 2. How many of them you should really be using? 3. Which metric is the best indicator of forecast quality?

IBP DP defines the error metrics with its own unique formula that is different from conventional calculations. So it is critical for planners to know how they are being calculated and how to use them to diagnose forecast quality. We illustrate with examples the calculations of WMAPE, MASE, MAPE, RMSE and MPE and the pros and cons of using each.

[valtitude-s-and-op]

INTEGRATED SALES & OPERATIONS PLANNING

This workshop is a practical guide to designing and implementing an internal collaboration process which would improve your value chain planning and integrate into the business management. Does your organization have a financial forecasting process that is distinct from your supply chain planning process? This could potentially result in a disconnected supply chain plan, causing sub-optimal inventories and inferior customer service. Implementing an efficient and cost-effective Sales and Operations Planning Process brings together all elements of Sales, Marketing, Finance and Operations into one integrated set of plans. This integrated planning forum greatly enhances communication of key market and customer intelligence into the supply chain. Sales and Operations Planning is the best practice planning solution that starts with creating an unbiased demand forecast, reviews the feasibility of the demand plan in the face of supply constraints and arrives at a constrained operational plan. In this training workshop, we will explain the design and mechanics of this internal collaboration process to bring together all stakeholders. We will discuss the key components of the S&OP process – the mechanics, reports, consensus and hand-offs as well as the metrics. Participants will walk away with practical insights to all aspects of S&OP and pre-formatted excel templates for use in their process.

[valtitude-e-learning]

FORECAST RECONCILIATION AND PROPORTIONAL FORECASTING by Dr. Mark Chockalingam.

Forecast Reconciliation is the process of comparing & balancing different forecasts modeled at different levels of the product hierarchy.

In this e-book, we describe the process and algorithms to reconcile the top-down forecasts modeled at an aggregated level say Brand, Product Line or Business Unit with bottom-up forecasts created with customer/market intelligence at the SKU or SKU/Warehouse level.

[valtitude-demandplan-forecasting]

Holistic Demand Planning - Modeling and Diagnostics

This workshop will explain the methodology and process behind accurate demand forecasts and how to effectively use sales and marketing intelligence to arrive at a consensus plan.

The focus will be on-demand modeling using popular statistical models, the methodology to perform model diagnostics, forecast accuracy measurement, and the process to incorporate market intelligence.

[valtitudetechnologies]

We facilitate you in revitalizing your execution to:

Take advantage of the automated modeling strategies 

 First Order Exponential Smoothing Models or Constant Model 

Moving Average Models 

Linear Regression Models and MLR Models 

Second Order Exponential Smoothing with Trend 

Holt-Winters Models 

[valtitude-demand-planning]

Modeling for promotions and unusual events in business

Event Modeling for Demand Planning

Traditionally planners have asked how to differentiate between baseline forecasts and incremental deltas.  How do you differentiate a baseline forecast from an event-driven spike or drop in demand?  

Baseline is business as usual.  This is normal demand that occurs when there are no unusual events or promotional incentives offered to customers.  Ironically, everyday may be a promotion day in the world of Consumer goods companies.  So care should be taken to modeling for events.  

Good demand planning software applications provide features to plan for events:

1.  Some offer statistical models that can help precisely model the impact of events.  

2. Many others offer features to plan and differentiate promotional plans manually through planner intervention but perhaps not advanced models that can forecast lift.  

See the chart above that illustrates baseline and event spikes. 

[valtitude-demand-planning-s-op]

Product Portfolio Management

Impact of Data Volatility on Forecasting

Measuring Volatility

Impact of multiple Extreme Observations on Volatility

SKU Segmentation for demand modeling & inventory strategies

Modeling by exception

ABC analysis - Classification philosophy

Pareto analysis  based on dollar usage

Item criticality

Excess, obsolete and Slow-moving Alignment with the product lifecycle

Discontinuance and end of life (EOL)

Process flow for Segmenting SKUs

Example using a three-dimensional matrix; ABC / Volume / Critical / Status; the excess, obsolete impact of Segmentation on Cycle Counting and Inventory Accuracy.