AI-Driven Supply Chain Optimization

Challenge

GLS faced significant challenges with inventory management, delivery delays, and rising operational costs. Their legacy systems couldn't handle the complexity of modern supply chain demands, resulting in inefficiencies and customer dissatisfaction.

Solution

• Developed custom ML models for demand forecasting
• Implemented real-time route optimization algorithms
• Created an integrated inventory management system
• Deployed IoT sensors for warehouse monitoring
• Built a centralized dashboard for supply chain visibility

Technologies Used

Implementation

The project was executed in 3 phases over 8 months, starting with data collection and analysis, followed by model development, testing, and gradual deployment. We worked closely with the client's team to ensure smooth integration and provided comprehensive training.