Case Study: CP AXTRA boosts e-commerce recommendations with Redis vector search

CP Axtra boosts e-commerce recommendations and doubles revenue with Redis

CP Axtra, a major retail and e-commerce operator in Asia, faced challenges with its e-commerce platform's search and recommendation features. Traditional keyword search struggled with Thai-language tokenization and user typos, leading to poor results and low conversion rates. They needed a solution capable of handling high-dimensional vector embeddings and delivering extremely fast, relevant search results to meet user expectations. CP Axtra turned to Redis to address these performance and relevancy issues.

By implementing Redis Cloud as its real-time vector search engine, CP Axtra achieved a 100% increase in click-through rates and revenue. The Redis solution delivered vector search results in under 30ms and enabled the use of 4,096-dimensional embeddings for highly relevant product recommendations. This led to a 108% increase in basket additions from recommendations and a 10% overall increase in search conversion rates, significantly boosting revenue from its e-commerce platforms.