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Home > AI for Retail > Demand Forecasting for Inventory Optimization

Demand Forecasting & Replenishment Optimization

Accurately forecast products demand based on seasonality, weather, historical purchasing patterns, and other factors. Automate replenishment orders by forecasting demand per product and geography.

Business Benefits: Ensure high availability for customers while maintaining minimal stock risk. Improve Capacity Management and Optimise Staffing Levels per Store

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Data Needed

1. Get Inspired

Understand the Use-case under 5 minutes

2. Know More

Get to know more Business and Technical details about the use-case (15-30 minutes)

Deeper Intro

More detailed introduction covering business and technical aspects

Business Focused

Case studies, Organizational Aspects, Return on Investment examples

Tech focused

More details on the technical aspects of the use-case

3. Do

Technical resources that will help you implement the use-case (notebooks, tutorials..)

Data Sets

Data Sets you can use to build Demos, POCs, or test Algorithms

Walmart M5 Dataset

The M5 dataset involves the unit sales of various products sold in the USA, organized in the form of grouped time series

Store Item Demand Forecasting Challenge & Dataset

This competition is provided as a way to explore different time series techniques on a relatively simple and clean dataset. You are given 5 years of store-item sales data, and asked to predict 3 months of sales for 50 different items at 10 different stores


Off-the-Shelf Products using AI for Demand Forecasting

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