Smart Inventory Restock System

A retail chain with 12 locations was managing inventory manually using spreadsheets and gut instinct. Stockouts were common — especially for fast-moving items — and overstock of slow-moving items was tying up capital. The buying team spent 15 hours per week on reorder decisions that were still frequently wrong.

We built a predictive restocking system that monitors real-time sales velocity across all locations, forecasts demand using 18 months of historical patterns, and automatically generates purchase orders when stock drops below dynamically calculated thresholds. The system factors in lead times, seasonal trends, and supplier constraints.