ecommerce_ops · ecommerce · workflow
Auto Mercado improves e-commerce search with Algolia, boosting user conversion rates by over 50%
Auto Mercado's e-commerce search was the major pain point in the customer journey: shoppers could not find products reliably, search results were irrelevant, and the underlying platform was built on outdated technology that was difficult to modify and scale.
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 · Customer submits product search
Shoppers search for products on the Auto Mercado e-commerce site.
Tools used
Algolia SearchAI SynonymsDynamic Re-rankingVisual EditorRules
Outcome
After implementing Algolia, user conversion rates rose by over 50%, customer basket size increased at checkout, Algolia's cost was offset by new CPG supplier ad revenue, and Auto Mercado became Costa Rica's leading online grocery platform with double the market share of its closest competitor.
Results
Time savedless than two months
Volume1500 percent
Cost replacedcost of Algolia ends up being compensated by the revenue provided from our suppliers
Running since2020
Grounding & classification
Source type: vendor customer story
28 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemproduct catalogmetric backednamed customerproduction runtime claimedtools describedworkflow describedretailconversion increasecustomer satisfactionrevenue increasevendor customer storyecommerce opsmarketing opsextract classify route