Retail & E-commerce
Demand Forecasts for a Retail SME
Improved forecast accuracy (MAPE) from 28% to 12% with an automated weekly pipeline.
28% → 12% MAPE
-7% Inventory
-62% Review time
The challenge
- Fragmented sales and inventory data across marketplaces and stores.
- Static spreadsheets could not react to promotions or regional events.
- Team needed ownership of infra to meet compliance requirements.
What we delivered
- Consolidated data feeds into a governed lake with automated quality checks.
- Built ensemble models that adjust to seasonality and promotional signals.
- Deployed self-hosted pipelines with observability dashboards for planners.
Business impact
- MAPE dropped from 28% to 12% within the first quarter.
- 7% reduction in aged inventory and associated carrying costs.
- Weekly forecast review shortened from 4 hours to 90 minutes.