Ecommerce ops · Production

Algolia AI Search helps Mister-Auto achieve 12% more conversions and reduce no-results rate by up to 80%

The problem

Mister-Auto's extensive automotive parts catalog serves customers with highly varied and technical search behaviors — searching by product name, reference number, or OEM — and delivering the wrong part creates costly returns. The company needed search precise enough to handle technical synonyms, product specificity, and diverse customer vocabularies at scale.

Workflow diagram · grounded in source
1
Customer submits search query
trigger
“Some people are searching for the name of the product, others with reference (numbers), others the OEM (Original Equipment Manufacturer), so we have to support everything.”
2
AI Synonyms normalizes terminology
ai_action
“The AI Synonym feature has been very good for us, because we have a lot of technical products that have different words for them. But also, there are a lot of parts that are very close but are not synonyms, so this feature has been a goo…”
3
Search ranks by relevance and best sellers
ai_action
“sort relevance and best sellers using Algolia (versus sort relevance alone) found that search provided a 12 percent boost in conversions”
4
Product results displayed for purchase
output
“with customers clicking the "add to basket" button in the listing or product page”
5
A/B Testing refines search configuration
feedback_loop
“Algolia A/B Testing around customer behavior after searching. The tests have proven to be very useful”
Reported outcome

After implementing Algolia, Mister-Auto saw a 12% increase in conversions, a 2 to 6% higher CTR, and a 65% to 80% reduction in no-results searches across its e-commerce websites.

Reported metrics
Conversion rate12%
click-through rate (CTR)2 to 6%
No-results rate-65% to -80%
Reported stack
Algolia SearchAI SynonymsA/B TestingAnalyticsAlgolia AI Recommendations
Source
https://www.algolia.com/customers/mister-auto
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

After implementing Algolia, Mister-Auto saw a 12% increase in conversions, a 2 to 6% higher CTR, and a 65% to 80% reduction in no-results searches across its e-commerce websites.

What tools did this team use?

Algolia Search, AI Synonyms, A/B Testing, Analytics, Algolia AI Recommendations.

What results were reported?

Conversion rate: 12%; click-through rate (CTR): 2 to 6%; No-results rate: -65% to -80% (source-reported, not independently verified).

How is this ecommerce ops AI workflow structured?

Customer submits search query → AI Synonyms normalizes terminology → Search ranks by relevance and best sellers → Product results displayed for purchase → A/B Testing refines search configuration.

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