The client is a global Apparel Retailer with 5,000+ stores in 15 countries.
With a strong focus on their loyalty database,they want to increase their loyal customer’s shopping frequency and revenue.

Problem Statment

Explore ways to improve the frequency, loyalty and revenue of their repeat customers.


• Extract and cleanse the Loyalty Database, study the
key performance metrics to get business insights
• Build Performance Dashboards to derive management
• Design and implement Basket Size & Consumer
Insight models to increase loyal customer’s revenues

Business Impact

  • 12% Increase in the loyalty customer’s basket size (Revenue per transaction)
  • 5% Reduction in cost for in-store CEX and store operations