How Fashion Retailer Boosted Clicks, Conversions, and Cart Adds with Cimulate’s AI-Native Search.
Before Cimulate
This fast-growing specialty retailer had big digital ambitions—but search was holding them back. During an RFP with leading vendors like Algolia, Constructor, Bloomreach, and Coveo, their CIO invited Cimulate to participate based on early excitement about the technology. Their Chief Digital Officer, however, was skeptical of Cimulate’s startup status—until he saw the custom demo. Within minutes, he brought in his full team, impressed by how Cimulate correctly handled 95% of the toughest queries, with the closest competitor coming in at 40% at best.
At the time, search performance was brittle and inconsistent. The legacy engine relied on layers of redirects and rules but still failed on basics—like misspellings (“doc martin”), compound words (“adidassocks”), and even exact-match product titles. It couldn’t process modifiers like size or gender, and it struggled with intent-based searches such as “spring dresses” or “what to wear to a bridal shower.” With high null-result rates, low engagement, and no ability to learn from behavior, product discovery became a major conversion bottleneck.

Key Results
23%
Increase in clicks per visit
5%
Increase in add to carts


Why Cimulate
At first, the team was reluctant to take a chance on a smaller vendor without a track record. But after seeing Cimulate in action during a custom demo, that hesitation disappeared.
What stood out? Cimulate understood customer intent in a way no other platform could. Whether it was subtle pluralizations like “nike” vs. “nikes,” seasonal queries like “spring dresses,” or long-tail searches packed with descriptors, the AI-native engine delivered relevant, high-converting results—out of the box.
Unlike legacy systems reliant on rigid keywords and rules, Cimulate offered context-aware search and product recommendations tailored to each shopper’s intent. Behind the scenes, Cimulate’s synthetic journey simulation filled in gaps left by limited training data, giving the retailer the advantage of Amazon-scale insights without needing Amazon-scale traffic.
After Cimulate
By replacing brittle keyword-based search with Cimulate’s AI-native, context-aware engine, the retailer transformed product discovery across their site. Shoppers engaged more deeply, added more products to cart, and converted at higher rates.
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