Retail Inventory Optimization and Auto-Replenishment
Retail & E-commerce — Across 120 stores and two warehouses, safety stock followed rules of thumb, locking cash into slow-selling items. Results: Working…
Client: Retailer with Multiple Locations. Sector: Retail & E-commerce.
The challenge: Across 120 stores and two warehouses, safety stock followed rules of thumb, locking cash into slow-selling items.
What we built: Demand forecasts for each store drive a safety-stock and reorder-point model based on target service levels, and daily replenishment orders flow straight into the ERP.
Tech used: statsforecast, Python, dbt, Snowflake, ERP Integration.
- Working Capital Tied Up: -20%
- Fill Rate: 97%
- Stores Covered: 120
- Manual Ordering: -90%