ecommerce_ops · ecommerce · workflow
Walgreens improves digital search and discovery with Algolia AI Search
Walgreens' prior search provider gave the digital team few controls to act on, and reliance on development resources created long lead times and a growing backlog, preventing agile improvements to the customer experience.
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 search on website or app
Customers initiate search on the Walgreens website and mobile app via Algolia Search.
Tools used
AlgoliaAI SynonymsAI RerankingPersonalization
Outcome
Walgreens completed the Algolia implementation in approximately 16 weeks — one of its fastest implementations — and the digital experience team can now review real-time data, react quickly to customer demands, and iterate without development being the bottleneck.
What failed first
The previous open source search provider lacked configurability and business-user controls, keeping the digital experience team dependent on developer involvement for every change.
Results
Time savedapproximately 16 weeks
Grounding & classification
Source type: vendor customer story
20 fields verified against source quotes.
enterprise searchpersonalizationproduct catalogfailure mode describednamed customerproduction runtime claimedtools describedworkflow describedretailcycle time reductionemployee productivityvendor customer storyecommerce ops