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Home > AI for Supply chain > Demand Forecasting for Logistics Optimization

Demand Forecasting for Logistics Optimization

Forecast demand to ensure that the delivery network is operating at optimal capacity and meet demand during peak time – hence increase sales and decrease inventory levels. Use factors like historical sales, weather, demographics, time of the year, and more. Optimize Procurement orders based on forecasts

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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 Stores Sales Data

Hierarchical sales data from Walmart, starting at the item level and aggregating to that of departments, product categories and stores in three geographical areas of the US

Store Item Demand Forecasting Challenge & Dataset

5 years of store-item sales data, and a competition to predict 3 months of sales for 50 different items at 10 different stores


Off-the-Shelf Products using AI for Supply Chain Demand Forecasting

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