Case Study: an e-commerce provider boosts sales and customer experience with InData Labs' predictive analytics module

E-commerce Provider builds AI-powered recommendations for 50+ brands with InData Labs

The customer, an e-commerce provider, sought to increase sales and improve customer experience by building a predictive analytics and recommender system. Their challenge, addressed by InData Labs, was to train an effective recommendation algorithm despite having only sparse purchase history data with many users having few transactions.

InData Labs developed a predictive analytics module using a collaborative filtering technique with implicit ALS, tailored to work well with sparse data. Their solution included confidence metrics and business logic filters to generate relevant, personalized product recommendations. The delivered model automated key tasks, personalized the search process, and enhanced the online shopping experience, providing the client with a functional AI-powered MVP.