Case Study

Driving Supply Chain Innovation for a Global Retail Leader’s GCC

Industry

Retail / Consumer Goods

Location

Global Delivery (GCC in India)

Our Contributions

Supply Chain Transformation, Warehouse Management Systems, AI/ML & Data Engineering, Cloud & Software Engineering, Digital Experience, Quality Engineering

As global retailers scale operations, supply chain efficiency and real-time decision-making have become critical to maintaining competitiveness. A leading global retailer set out to strengthen its India Global Capability Center (GCC) to drive smarter warehouse operations, improve logistics performance, and enhance both customer and employee experiences.

The objective was to build a technology-driven supply chain powered by data, AI, and scalable engineering. By embedding innovation into core operations, the GCC evolved into a high-performance hub, driving efficiency, improving visibility, and enabling faster, more intelligent decision-making across the supply chain.

Transformation Timeline

Phase 1

Assessed supply chain systems and defined transformation roadmap

Phase 2

Built scalable engineering teams and deployed core solutions

Phase 3

Implemented AI/ML models and warehouse optimization systems

Phase 4

Scaled GCC to drive continuous innovation and efficiency

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The Challenge

The retailer needed to enhance its GCC capabilities to support a highly complex, large-scale supply chain ecosystem. Warehouse operations required modernization through microservices-based systems to improve fulfillment efficiency and scalability.

Managing high-volume data across millions of catalog items posed significant challenges in processing, accuracy, and real-time updates. At the same time, logistics operations required improved route optimization and inventory visibility to ensure timely deliveries and cost efficiency.

Additionally, the organization aimed to enhance experiences across customers, employees, and partners, requiring seamless integration of technology, data, and workflows.

Our Approach

Delivered a scalable, AI-driven supply chain transformation by modernizing warehouse systems, optimizing data pipelines, and embedding intelligence across operations.

Modernized Warehouse Systems

Designed and deployed a microservices-driven warehouse management system to improve replenishment efficiency, fulfillment visibility, and scalability.

Optimized Catalog Intelligence

Retrained ML models to enhance item attribute accuracy across 500M catalog items, enabling processing of 70M daily updates with improved precision.

Enabled End-to-End Engineering

Delivered integrated capabilities across software engineering, cloud, data analytics, quality engineering, and digital experience to support seamless operations.

Scaled Delivery at Pace

Deployed 700+ consultants across functions to accelerate transformation and ensure consistent delivery across multiple business areas.

Partner & Technology Ecosystem

The engagement was delivered using Coforge’s AI-led engineering capabilities and cloud-native delivery framework.

Impact to Date

The transformation delivered measurable improvements in supply chain performance, operational efficiency, and decision-making agility.

4% Increase in On-Time Deliveries

Driven by improved route optimization

2.5% Cost Savings in Driver Incentives

Enabled through optimized logistics planning

98%+ Data Accuracy Achieved

With continuous improvements in AI-driven processes