Demand forecasting across a multi-region retail network
Store-and-SKU-level forecasting that cut stockouts and excess inventory simultaneously.
The challenge
Inventory planning was based on trailing averages, leading to frequent regional stockouts on fast-moving items alongside overstock of slow movers.
Our approach
We engineered a data pipeline unifying POS, inventory, and promotional calendars, then built store-and-SKU-level forecasting models with seasonality and promotion effects, exposed through a planning dashboard.
Results
- Reduced stockouts on high-velocity SKUs
- Lower excess inventory carrying cost
- A single forecasting source of truth for planning teams