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CASE STUDY September 17, 2023

1.5-2% Sales Improvement through Store x Item x Day Level Demand Forecasting for Grocery Retail

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Business Objective

Our client is a leading US-based grocery retailer with 100+ categories and 10,000 + SKU’s. The current inventory planning process for promo and non-promo time periods relied heavily on business rules developed over time. There was a need to revisit those and develop predictive models in order to have a robust demand forecasting process that accurately accounts for promotional impact.

Challenges

  • Building a full-blown forecasting solution at an Item x Store x Day level
  • Forecasting for recently introduced products and brand new products
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