ecommerce_ops · ecommerce · workflow
Shoe Carnival kicks customer experience into high gear with Algolia and Amplience
Shoe Carnival's large SKU catalog across multiple categories and banners required highly labor-intensive manual merchandising work, and making site changes demanded developer involvement, limiting the retailer's ability to respond quickly to fast-moving market conditions and shifting customer expectations during inflationary times.
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 for footwear
Customers search for products on shoecarnival.com, initiating the search and discovery experience.
Tools used
AlgoliaAmplienceDynamic Re-RankingAlgolia Recommend
Outcome
After implementing Algolia and Amplience, Shoe Carnival saw up to 3.5x conversions from search, reduced bounce rates, and productivity doubled with changes taking half the time. AOV and basket size grew significantly through Algolia Recommend.
Results
Time savedhalf the time
VolumeUp to x3.5
Running since2021
Grounding & classification
Source type: vendor customer story
34 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemproduct cataloghuman review describedmetric backednamed customerproduction runtime claimedsource backedtools describedvendor confirmedworkflow describedretailconversion increasecycle time reductionemployee productivityrevenue increasevendor customer storyecommerce opsmarketing opsdata sync enrichmentextract classify route