Project Overview
Developed an AI system that optimizes inventory levels, predicts demand, and automates supplier communications for a manufacturing company.
Challenge
Manufacturing company was struggling with stockouts and overstock situations costing millions annually.
Solution
Implemented predictive analytics using IoT data and machine learning to optimize inventory levels and automate supplier ordering processes.
Key Features
- Demand forecasting with 90% accuracy
- Inventory optimization algorithms
- Automated supplier communications
- IoT sensor integration
- Real-time dashboard monitoring