ZALORA Personalization Strategy Case Study

This case study details ZALORA's implementation of Algonomy's personalization platform to enhance customer experiences across its eCommerce properties in six countries. The objective was to increase conversions and revenue by delivering hyper-personalized experiences in real-time. The study outlines the deployment of various Algonomy products, including Recommend™, Find™, Discover™, and Engage™, which collectively personalize customer interactions across multiple touchpoints such as search, product recommendations, and category pages. The results of this initiative included a 40% increase in average basket size and a 15% rise in attributable sales. The case study also highlights specific use cases of personalization, such as tailored recommendations for both anonymous and returning customers, fine-tuning search results, and personalized email and push notifications. ZALORA's ongoing efforts to innovate in personalization are also discussed, including future plans for size-based personalization and the integration of a Streaming Catalog API to ensure real-time inventory updates.