Données prêtes pour l'IA et recherche vectorielle pour la découverte de produits. Détaillant de carrelages et de finitions aux Émirats arabes unis.
Catalogue prêt pour l'IA + recherche vectorielle qui réduit le temps de recherche de 70 % et augmente la conversion jusqu'à 15 %. Nous avons transformé le catalogue de produits d'un détaillant de carrelage en ligne en données structurées prêtes pour l'IA, permettant la recherche vectorielle et les recommandations de produits conversationnelles. Auparavant, les clients avaient du mal à parcourir manuellement de vastes catalogues de SKU. La nouvelle expérience IA a réduit le temps de recherche de 60 à 70 %, augmenté la conversion de 10 à 15 % et amélioré le chiffre d'affaires annuel de 8 à 12 %.
01 —The Impact
The results, up front.
60–70% reduction in search time Conversion increased by 10–15% YoY revenue grew 8–12% Support workload reduced by 30–40% A significantly upgraded purchasing journey
02 — The Challenge
Where they started.
Large tile retailers rely heavily on SKU accuracy and searchability. Customers searching manually encountered friction that slowed decision-making and hurt conversion. Our objective was to turn the catalog into AI-ready data and build a conversational product discovery flow. We began by cleaning and structuring product data, then vectorizing it for similarity search. We implemented embedded vector search that allowed customers to find matching items via chat, natural language, or visual cues. The AI generated product cards with actionable CTAs, comparisons with similar SKUs, and dynamic item lists. This dramatically accelerated decision-making and created an intuitive “assistant-like” experience.
04 — Approach & Methodology
How we got there.
Customers previously spent far too long searching for tiles, often abandoning sessions. With vector search, the system instantly understood intent and surfaced the most relevant SKUs — reducing friction and enabling faster purchase decisions. AI cards and comparison tools addressed uncertainty by helping users evaluate alternatives quickly.
05 —In Practice
Project samples.
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