About the customer – Customer is one of the top 4 Credit card company in the world
Customer Challenge
- Create a recommendation model for cross-sell/up-sell recommendations for 80+ Million users
- Performance requirements of 300-350 TPS
- Create a Multi-Touch Attribution Model (MTA) for channel optimization
- Integrate Data from 10+ different sources for building both models
NucleusTeq Solution Approach
- Developed a product recommendation engine that personalizes recommendations for 80 million customers
- Created a high availability big-data platform where the recommendation engine processes the data
- Created high availability API infrastructure to address the high TPS requirement
- Created a graphical model for MTA
Outcomes Delivered
- Savings of millions of dollars in promotional expenses
- Increased Net New Conversions from 2% to 7%
- Increase Upgrade Conversions from 8% to 14%
- Model for channel budget allocation led to increase in ROI