Xoriant helped a leading US-based loyalty and customer engagement solutions company transform its traditional rule-based recommendation system by developing an ML-based hybrid recommender system using AWS SageMaker. The system generated personalized, location-specific offers by processing data from multiple sources and dynamically adapting to user preferences and trending offers. This approach improved customer retention, reduced total cost of ownership, and delivered person-specific recommendations with 76% accuracy on test data, enhancing the customer experience and brand connection.

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