Ecommerce ops · Production

Everlane drops No Results rate 45% and lifts conversion 5% with Algolia NeuralSearch

The problem

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.

Workflow diagram · grounded in source
1
Search outsourced to Algolia
trigger
“In the interests of efficiency, Everlane outsourced its search function to Algolia.”
2
NeuralSearch beta invitation
trigger
“In 2023, Algolia invited Everlane to partner in the beta test of their new product NeuralSearch.”
3
NeuralSearch processes queries
ai_action
“With natural language understanding, automatic vectorization, adaptive learning, and query suggestions, NeuralSearch combines Algolia's full-text keyword search engine with vector understanding into a single easy-to-implement API.”
4
Automatic data handling
ai_action
“With NeuralSearch, maintaining synonym tables is removed from our responsibility. That frees up time and resources to devote to merchandising – and not at the expense of search.”
5
Improved search outcomes delivered
output
“Everlane has seen their no results rate decrease by 45%. Their conversion rate is also up by 5%, and their click through rate increased over 8%.”
Reported 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%.

Reported metrics
No Results rate45%
Conversion rate5%
Click-through rateover 8%
Data cleanup overheadThe need to clean and optimize data disappeared, freeing valuable time and resources
Reported stack
Algolia Search APINeuralSearchInsights APIQuery SuggestionsFilters & FacetsRules
Source
https://www.algolia.com/customers/everlane
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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%.

What tools did this team use?

Algolia Search API, NeuralSearch, Insights API, Query Suggestions, Filters & Facets, Rules.

What results were reported?

No Results rate: 45%; Conversion rate: 5%; Click-through rate: over 8%; Data cleanup overhead: The need to clean and optimize data disappeared, freeing valuable time and resources (source-reported, not independently verified).

How is this ecommerce ops AI workflow structured?

Search outsourced to Algolia → NeuralSearch beta invitation → NeuralSearch processes queries → Automatic data handling → Improved search outcomes delivered.

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