Product Recommendations: Similar Products Extensions

Introducing our groundbreaking release: Similar Product Recommendations. This marks a significant stride in integrating machine learning-based recommendation systems into our platform, enhancing the user experience and driving business growth.

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Leveraging OpenAI's CLIP model, our system considers both visual and textual attributes for a holistic product recommendation experience. Visual Similarity analyzes product images, identifying aesthetically similar products, while Attribute Similarity encompasses various factors like name, color, category, gender, material, and brand.

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Powered by Vertex AI, our robust machine-learning pipelines handle large datasets, periodically fetching catalogue data to generate fresh and relevant recommendations. The seamless integration ensures that the recommendation engine effortlessly adapts to new collections behind the scenes.

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The culmination of this effort is our Product Recommendation Extension, featuring a new widget called Similar Products. This widget, consuming recommendations from our ML services, seamlessly integrates into the user journey without any additional learning steps. The business impact is substantial, offering enhanced product discovery, driving higher engagement on product detail pages, and ultimately boosting sales and average order value. Elevate your platform experience with our AI-driven product recommendations.