Personalized Cross-Sell & Upsell Engine

What we enabled?

• Targeted product recommendations for credit, loans, and savings. 

• Real-time personalization within digital banking apps. 

• Segmentation of customers by lifecycle and value tiers. 

• Offer generation in personalized, customer-friendly language.

  
  

How we did it?

• Trained ML clustering on customer transactions and behaviours. 

• Integrated real-time events for contextual triggers. 

• Used LLM to generate tailored product offers.

• Embedded engine into CRM and campaign tools.

  
  

Tech Stack

• ML clustering models (RFM, usage) 

• LLMs for personalization

• Event streaming via Kafka

• CDP + PostgreSQL for profiles

What we achieved?

• 15–20% higher campaign conversions

• 12% increase in cross-sell revenue

• 10% higher customer retention rate

• 5% reduction in churn