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Retail
Reliance Retail Optimizes Inventory with AI
How India's largest retailer reduces waste and improves margins with demand forecasting analytics.
Client
Reliance Retail
Location
Bangalore, India
Duration
10 months
Team Size
18 experts
40%
Waste Reduction
₹500Cr
Revenue Increase
15K+
Stores
95%
Forecast Accuracy
The Challenge
A major retail chain was experiencing high inventory waste and ineffective demand forecasting. They needed to understand demand patterns and optimize inventory to reduce waste.
Our Solution
- Demand forecasting using advanced ML models
- Inventory optimization algorithms
- Real-time stock monitoring system
- Automated reordering and allocation
The Results
The analytics platform transformed inventory management. Waste reduced by 40%, revenue increased by ₹500Cr, and the system now manages inventory across 15,000+ stores nationwide.
Technologies Used
Demand ForecastingInventory OptimizationPythonXGBoostDatabricks