Case Study: CHANGING.AI achieves real-time personalized recommendations with Looker

Changing.ai Delivering deep-learning-powered personalized recommendations services to retailers

CHANGING.AI, a Taiwan-based AI company founded in 2018, needed a scalable and cost-effective way to train deep-learning models and deliver real-time, personalized recommendations for online and offline retailers. The company wanted to process large ecommerce data sets quickly enough to understand customer behavior and support individualized product suggestions. While the case study centers on Google Cloud, the solution is relevant to Looker as part of the broader analytics stack.

CHANGING.AI implemented a cloud-based architecture that enabled daily data processing, rapid model training, and containerized application deployment, helping it run complex calculations in less than one day. The results included more efficient operations, pay-as-you-use infrastructure costs, and the ability to scale toward serving 20 to 30 businesses worldwide. With Looker and its analytics capabilities fitting into this data-driven environment, CHANGING.AI improved its ability to turn customer and purchase data into measurable business value.

Changing.ai

Chia-Lin Chang

Founder and Chief Executive Officer