Case Study: Sinyi Realty achieves hyper-personalized property recommendations with Databricks

Helping buyers find the perfect homes to fit their needs

Sinyi Realty, Taiwan’s leading real estate solutions provider, faced challenges modernizing its property-matching experience as legacy infrastructure and siloed data limited its ability to deliver data insights and hyper-personalized services at scale. To support more than 5,000 employees across Taiwan, China, Japan, and Malaysia, the company turned to Databricks and its Data Intelligence Platform.

Using Databricks Data Intelligence Platform, Delta Lake, and Unity Catalog, Sinyi Realty unified data from multiple sources, automated pipelines, and built a single source of truth for its Property Recommender Solutions. Since launching its AI Intelligent Recommendation System in May 2022, the company has improved model efficiency, increased the effective exposure rate of properties, and delivered more personalized buyer recommendations and better website experiences.

Sinyi Realty

Hsuan-Chiang Chang

Senior Manager