Smart Inventory Management System
AI-powered inventory system reducing stockouts by 76% while decreasing holding costs by 34% through predictive demand forecasting.
Project Overview
Client
RetailChain Global
Industry
E-commerce
Project Duration
5 months
AI-powered inventory system reducing stockouts by 76% while decreasing holding costs by 34% through predictive demand forecasting.
The Challenge
Frequent stockouts were causing lost sales while overstocking was tying up capital and increasing storage costs.
Our Solution
Built an AI inventory optimization system using time-series forecasting, demand prediction, and supply chain analytics to maintain optimal stock levels across all products and locations.
Results & Impact
Stockout Reduction
Decrease in out-of-stock incidents
Holding Costs
Reduction in inventory costs
Forecast Accuracy
Demand prediction accuracy
Technology Stack
The cutting-edge technologies and frameworks we used to build this solution.
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