ecommerce_ops · ecommerce · workflow
Everlane drops No Results rate 45% and lifts conversion 5% with Algolia NeuralSearch
Everlane's lean Digital Merchandising Team had limited resources and was burdened by significant engineering effort required to clean and optimize product data before it could feed into search, diverting capacity from core merchandising work.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Search outsourced to Algolia
Everlane outsourced its search function to Algolia to maximize search and discoverability with limited internal resources.
Tools used
Algolia Search APINeuralSearchInsights APIQuery SuggestionsFilters & FacetsRules
Outcome
After adopting NeuralSearch, Everlane eliminated manual data cleanup, saw their No Results rate decrease by 45%, conversion rate rise by 5%, and click-through rate increase by over 8%.
Results
Volume45%
Running since2019
Grounding & classification
Source type: vendor customer story
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enterprise searchpersonalizationproduct catalogmetric backednamed customerproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedecommerceretailconversion increaseemployee productivityerror reductiontime savedvendor customer storyecommerce opsdata sync enrichment