Retail & E-commerce
Retail Analytics & Personalization Platform
AI-driven analytics platform implementing real-time inventory tracking and personalized recommendations across 200+ stores.
The Challenge
Inventory & Personalization Gaps
A retail chain with 200+ stores faced 20% revenue loss due to stockouts and overstocking. They also lacked the ability to provide personalized offers to their loyal customers.
- Frequent stockouts of high-demand items
- Dead stock accumulation in regional warehouses
- Generic marketing campaigns with low conversion
- Disconnect between online and offline data
Our Solution
Omnichannel Analytics Engine
Implemented a Big Data solution integrating POS data, warehouse stocks, and online behavior to drive inventory decisions and personalization.
Execution Strategy
- 1Data Lake construction for unified view.
- 2Real-time inventory sync across 200 stores.
- 3Recommendation engine for loyalty app.
- 4Demand forecasting for procurement.
Technology Stack
Apache Spark
Python
Elasticsearch
React
The Impact
Data-Driven Retail
The chain optimized its stock levels and saw a significant uplift in sales through targeted personalization.
25% increase
Revenue Growth
Year-over-year same-store sales
40% improvement
Inventory Optimization
Reduction in holding costs
60% higher
Customer Engagement
App usage and offer redemption