… for a store Jeans brand using ERP + external data


Business Challenge

  • A retailer wanted to forecast demand over nine monthly horizons for core store SKUs in Jeans to drive various business decisions (e.g., Fabric buy – 9 months prior to season, cut-orders – 4 months prior)

Analytics Approach

  • Cross-sectional time-series solution was found to have highest forecast accuracy (after testing several alternative models)
  • Store aggregate data, pricing and macro-economic data were used as inputs
  • The solution was based on 5 cross-sections. Variable construction is depicted below.