Case Study: KÜHL boosts personalized product discovery and conversions with Lucidworks Fusion

KÜHL Takes on a New ML-Driven Consumer Experience Adventure

The customer, KÜHL, a manufacturer of high-performance outdoor apparel, faced a challenge with its e-commerce platform's poor search relevancy and ranking. Its existing system could not meet customer intent or provide personalized recommendations, which was a critical issue for the customer-driven brand. To address this, KÜHL partnered with the vendor, Consumer Goods Technology, and implemented the Lucidworks Fusion platform to gain sophisticated machine learning capabilities.

The solution involved a self-implementation of the Fusion platform to collect shopper signals and utilize pre-configured ML models for dynamic product discovery. This implementation by Consumer Goods Technology delivered immediate improvements in site speed and resulted in category revenue lifts of 10% to 62%. The platform enabled a more personalized shopping experience, driving higher conversions and average order value (AOV) while also empowering KÜHL's small team with data for informed decision-making.

Kühl

Timothy Boyle

E-commerce Officer