ecommerce_ops · travel · workflow
Club Med transforms travel discovery with Algolia's federated search across 35 markets
Club Med's legacy search was slow and poorly organized, unable to handle complex multi-filter queries across 35 global markets, while the central team and local markets struggled to share governance of merchandising rules without compromising brand consistency.
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 · Visitor initiates guided search
Visitors search across all categories from one interface with guided entry including trending queries, user search history, and curated suggestions specific to each market.
Tools used
AlgoliaMerchandising StudioQuery SuggestionsDynamic Re-RankingAlgolia Agent StudioAlgolia Analytics
Outcome
Since implementing Algolia, Club Med has achieved higher click-through rates, fewer no-result pages, faster time-to-result, an uplift in online bookings, and reduced reliance on call center sales, with local teams now able to manage their own merchandising rules and drive greater market relevance.
Results
Time savedfaster time-to-result
VolumeHigher click-through rates
Running since2024
Grounding & classification
Source type: vendor customer story
32 fields verified against source quotes.
enterprise searchpersonalizationrecommendation systemknowledge baseproduct cataloghuman review describedmetric backednamed customerproduction runtime claimedtools describedworkflow describedhospitalitytravelconversion increasedeflection rateresponse time reductionvendor customer storyecommerce opsextract classify route