ecommerce_ops · ecommerce · workflow
Clarks adopts Algolia Search and Recommend to support its MACH journey
Clarks' existing SAP Hybris e-commerce platform was reaching end of life and its on-premises hosting was becoming unsustainable. The monolithic architecture made it extremely difficult to make changes, be flexible, or scale.
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 initiates search
Customers search for footwear products on Clarks' e-commerce website.
Tools used
Algolia SearchDynamic Re-RankingRecommendSAP HybrisCommercetools · partnerAmplience · partnerAkeneo · partnerGridDynamics
Outcome
Clarks improved customer search and browsing experience with AI-driven recommendations and autocomplete, reduced time spent on merchandising through Dynamic Re-ranking, and achieved fewer product returns, lower operational costs, and increased profits.
Results
Time savedused to spend hours; now let DDR do the work
Cost replacedreducing operational costs and delays
Running since2022
Grounding & classification
Source type: vendor customer story
32 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemproduct cataloghuman review describednamed customerproduction runtime claimedtools describedworkflow describedecommerceretailcost reductioncustomer satisfactionerror reductiontime savedvendor customer storyecommerce opsmarketing opsautonomous resolution