ecommerce_ops · ecommerce · workflow
HANOS SHOP provides fast, relevant B2B search and recommendations with Algolia
Launching a new B2B web shop with over 12,000 non-food products and a diverse customer base spanning many industries and multiple countries, HANOS SHOP needed best-in-class search and recommendation capabilities that could be managed without developer expertise, while also avoiding manual, cumbersome back-end processes for surfacing related products.
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 or browses
A customer initiates a search via the HANOSSHOP.com search bar or browses product category pages.
Tools used
AlgoliaRecommendDynamic Re-RankingAI SynonymsAlgolia Filters & Facets
Outcome
Algolia delivered search results within 36 milliseconds, earning customer praise for near-instant speed, while the Recommend feature eliminated previously manual and cumbersome processes for surfacing related products, and AI Synonyms automatically reconciled regional terminology differences across markets.
Results
Time savedwithin 36 milliseconds
Volume12,000+
Running sinceSeptember 2022
Grounding & classification
Source type: vendor customer story
27 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemproduct cataloghuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedmanufacturingretailcustomer satisfactionemployee productivityresponse time reductionvendor customer storyecommerce opsai draft human approval