Demand Forecasting for
Omni-Channel Retail

Sept 2021, Sydney

Eamonn Barrett

A large omni-channel retail operation with volatile customer demand.

The team at Remi built an innovative forecasting pipeline for the manufacturer and retailer that was able to consider many relevant covariate data streams such as COVID case data by location, Google mobility data, and gifting events e.g. Prime Day to improve demand signal detection. Supply shortages were managed by modelling across similar products to make recommendations on how to handle stock-outs in key products.

The Solution

One of the world’s largest consumer electronics manufacturers engaged Remi to help forecast demand for their products sold via a large omni-channel retailer in North America. Demand for the retailer was volatile due to new product launches and the impact of store closures during the COVID impacted 2020/2021 years. Supply was also volatile due to shortages in silicone, leading to downstream impacts on all products using silicone chips.

Challenge

Solution

A large omni-channel retail operation with volatile customer demand

Machine learning demand forecasting by Remi AI

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