A global e-commerce company struggled with personalizing customer experiences due to unstructured and siloed data. Their existing recommendation engine failed to provide relevant product suggestions.

Implemented a machine learning-driven recommendation system using deep learning algorithms to analyze customer behavior, purchase history, and browsing patterns.

Increased conversion rates by 30%, improved customer engagement with personalized recommendations, and boosted overall revenue by 25%.