Supply Chain Optimization
Intelligent supply chain optimization using AI-powered demand forecasting and inventory management.
Key Results
Overview
Comprehensive supply chain transformation using AI and analytics to optimize inventory, reduce costs, and improve forecasting accuracy.
The Challenge
Inefficient inventory management and demand forecasting
Problem Statement
Excess inventory tied up capital while stockouts disrupted production. Manual forecasting was inaccurate and reactive.
The Solution
AI-driven supply chain management system with predictive analytics
Our Approach
Built ML models for demand forecasting
Implemented real-time inventory optimization
Created predictive analytics dashboard
Integrated with ERP and procurement systems
Implementation Timeline
Phase 1: Data Integration & ML Development
4 monthsIntegrated data sources and developed forecasting models
Phase 2: System Deployment
3 monthsDeployed optimization system and trained operational teams