Ecommerce ops · Production

Zenni Optical sees 27% revenue-per-session lift and 34% search revenue growth with Algolia AI Search

The problem

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.

Workflow diagram · grounded in source
1
Customer searches on site or mobile
trigger
“Algolia is used to power search for both Zenni's website and mobile e-commerce experiences”
2
AI resolves synonyms and filters
ai_action
“From synonym handling to material filtering, Algolia has been adept at handling the needs of eyewear search, improving customer experience while upping search speed and relevance”
3
Autocomplete and query suggestions served
output
“new search bar experience, taking advantage of autocomplete and query suggestions, has driven a 44% increase in search traffic”
4
Merchandising team optimizes catalog
integration
“Zenni's merchandising team uses Algolia a great deal, Ting suggests, for SKU and collections optimization, or to boost products”
5
Neural Search adaptive synonym learning
feedback_loop
“we're looking at Neural Search to simplify and calculate those synonyms in a relevant way that improves automatically with user input”
Reported 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.

Reported metrics
Search traffic44%
Search revenue34%
Revenue per user session27%
conversion rate (CVR)9%
Show all 6 reported metrics
search traffic44%
search revenue34%
revenue per user session27%
conversion rate (CVR)9%
Search AOV16%
deployment timetwo months
Reported stack
Algolia AI SearchNeural SearchNLUEndecaSitecore
Source
https://www.algolia.com/customers/Zenni
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

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 t…

What tools did this team use?

Algolia AI Search, Neural Search, NLU, Endeca, Sitecore.

What results were reported?

Search traffic: 44%; Search revenue: 34%; Revenue per user session: 27%; conversion rate (CVR): 9% (source-reported, not independently verified).

How is this ecommerce ops AI workflow structured?

Customer searches on site or mobile → AI resolves synonyms and filters → Autocomplete and query suggestions served → Merchandising team optimizes catalog → Neural Search adaptive synonym learning.