Machine Learning for E-commerce: Recommendations and Visual Search

March 5, 20264 min read
#Machine Learning#E-commerce#AI

Personalization drives conversions. In 2025, we developed an AI-powered recommendation system for an e-commerce client.

Collaborative Filtering and Computer Vision

Using TensorFlow and PyTorch, we built a recommendation engine based on user behavior. Additionally, we implemented visual search—users can upload a photo to find similar products. The result? A 35% increase in conversions.

Whether you need product recommendations, fraud detection, or predictive analytics, our ML expertise can help.


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