ecommerce_ops · ecommerce · workflow
Zenni Optical sees 27% revenue-per-session lift and 34% search revenue growth with Algolia AI Search
Zenni Optical ran two legacy search platforms (Endeca and Sitecore) that added management complexity and could not easily handle nuanced eyewear product variables — synonyms, color-name variations, and multilingual SKU management all required tedious manual effort.
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 searches on site or mobile
Algolia powers search for both Zenni's website and mobile e-commerce experiences.
Tools used
Algolia AI SearchNeural SearchNLUEndecaSitecore
Outcome
After deploying Algolia, Zenni saw a 44% increase in search traffic, 34% increase in search revenue, 27% rise in revenue per session, 9% lift in conversion rate, and 16% increase in Search AOV, all measured February to September 2023 versus the prior year.
Results
Time savedtwo months
Volume44%
Cost replaced34%
Running since2022
Grounding & classification
Source type: vendor customer story
29 fields verified against source quotes.
enterprise searchpersonalizationproduct catalogmetric backednamed customerproduction runtime claimedsource backedtools describedworkflow describedecommerceretailconversion increasecustomer satisfactionrevenue increasethroughput increasevendor customer storyecommerce opsautonomous resolution