Case Study: PopChill achieves 2.5X higher user engagement with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the PopChill Case Study

Enabling secure, efficient pre-owned luxury item trading with Vertex AI

PopChill, a pre-owned luxury item trading platform, needed a way to deliver more accurate product search and better user engagement, especially because shoppers often search with vague keywords or images. The company turned to Google Cloud Platform’s Vertex AI to improve search relevance and support safer, more efficient luxury trading.

Using Google Cloud Platform’s Text Embeddings API, Multimodal Embeddings API, and Vector Search in Vertex AI, PopChill made it possible for users to find relevant items with a single keyword or image. Google Cloud Platform also helped the team build an image search prototype in just two weeks, and the improvements drove 2.5X higher user engagement while boosting search quality and conversion potential.


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PopChill

Roger Yang

Chief Technology Officer


Google Cloud Platform

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