Overview
SupplyChain Pro needed an intelligent inventory management system that could predict demand, optimize stock levels, and reduce waste across their distribution network.
The Challenge
The company faced frequent stockouts and overstock situations, leading to lost sales and excess inventory costs. Manual forecasting was inaccurate and couldn't account for market dynamics.
Our Solution
Developed an AI-powered inventory system with demand forecasting using time series analysis, automatic reorder point optimization, and real-time inventory tracking across 200+ locations.
Key Results
-73%
Stockouts
Reduction in stockout incidents
-28%
Inventory Costs
Reduction in carrying costs
91%
Forecast Accuracy
Demand prediction accuracy
-45%
Waste Reduction
Reduction in product waste
Technologies Used
PythonProphetPostgreSQLReactFastAPIDockerGCP
"The AI predictions are incredibly accurate. We've significantly reduced both stockouts and excess inventory."
David Park
Supply Chain Director, SupplyChain Pro