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ML-Based Hybrid Recommender System for a Leader in Loyalty Business

21 July 2020
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Case study
Machine Learning Hybrid Recommender System

Client Background

  • Our client is a leading US-based loyalty and customer engagement solutions company servicing millions of consumers through their solutions and partner programs
  • The client used a traditional rule-based approach to generate customer recommendations for various offers, discounts, coupons, etc. and continued with their services. The current system had limited capabilities and static user preferences. There was a need to build a system to generate personalized recommendations using machine learning models

Xoriant Solution

  • The client chose Xoriant as its technology partner because of the combination of our experience, expertise and capabilities in personalized recommendation systems
  • The client wanted to leverage Xoriant’s machine learning solutions and best practices to shape their experience with brands and customers

Key Benefits

  • Resulted in better customer retention with dynamic AI approach that provided person-specific offerings
  • Reduced the total cost of ownership
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ML-Based Hybrid Recommender System for a Leader in Loyalty Business