Case Study: Purplle achieves faster, more personalized retail experiences with Looker

Purplle Creating hyper-personalized beauty experiences with cloud-based data

Purplle, one of India’s largest e-beauty destinations, needed a way to personalize product recommendations at scale while managing rapidly growing data and high traffic across its app and website. The company worked with Looker as part of its broader Google Cloud analytics and personalization stack to support a customer experience driven by millions of daily personalization requests.

Looker helped Purplle unify and act on data to improve pricing, recommendations, and operational efficiency. The results were strong: daily revenue increased by up to 20% from improved pricing accuracy and automation, data processing time dropped by 60%, and the platform was able to serve 8 million personalized requests per day in under 40–60 milliseconds, with spikes up to 24 million requests handled smoothly.

Purplle

Vivek Parihar

Head of Engineering