Customer Analytics & Personalization
Major Retail Chain
KEY IMPACT
Achieved 35% increase in customer lifetime value and 45% improvement in inventory turnover.
The Challenge
A major retail chain with 200+ stores needed to understand customer behaviour across online and offline channels. They had fragmented customer data across e-commerce, point-of-sale systems and loyalty programs. Marketing campaigns were generic, inventory decisions were based on historical averages and they were losing market share to more data-driven competitors.
Our Solution
Built an integrated customer data platform on Databricks combining online and offline touchpoints. Created a unified customer 360-degree view, implemented real-time personalization engine for product recommendations, developed predictive models for inventory optimization, and built automated marketing campaign tools with A/B testing capabilities.
Results & Outcomes
35% increase in customer lifetime value
45% improvement in inventory turnover
Personalized experiences for 5M+ customers
25% increase in marketing campaign effectiveness
20% reduction in overstock and stockouts
Technologies Used
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