ecommerce_ops · ecommerce · workflow
PetSmart improves search relevance and revenue with Algolia AI-powered search
PetSmart's existing search solution failed to deliver hyper-relevant results, preventing customers from quickly finding the right products across its digital channels.
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 digital channel
Customers search and browse across PetSmart's digital channels including website, mobile app, and in-store.
Tools used
Algolia
Outcome
After implementing Algolia, PetSmart saw search revenue increase and browse revenue lift, with pet parents able to easily find exactly what they were looking for, improving their overall shopping experience.
Results
Cost replacedsearch revenue increase
Grounding & classification
Source type: vendor customer story
18 fields verified against source quotes.
enterprise searchpersonalizationproduct catalogfailure mode describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedretailcustomer satisfactionresponse time reductionrevenue increasevendor customer storyecommerce ops