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Résultat : un catalogue cohérent, optimisé pour le client final, prêt pour le SEO… Et pour une future intégration dans un chatbot RAG.
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Résultat : un catalogue cohérent, optimisé pour le client final, prêt pour le SEO… Et pour une future intégration dans un chatbot RAG.
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Leur boutique en ligne, construite avec WooCommerce, compte près de 2000 fiches produits, rédigées au fil des années par différents contributeurs. Résultat : un ensemble hétérogène, des tons variés, des informations mal structurées et parfois mal orthographiées, des balises SEO absentes ou en doublon. Bref, pas top top !
L’objectif de notre travail était triple…
- Réécrire l’ensemble des fiches pour améliorer le référencement naturel
- Renforcer l’engagement des visiteurs
- Préparer les données pour leur future exploitation via un chatbot IA-RAG
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Nous avons d’abord extrait les données clés de chaque fiche — titres, résumés, descriptions, données techniques, etc — à l’aide de scripts sur mesure. Cette matière brute a ensuite été nettoyée : suppression des balises parasites, standardisation des formats, et correction des erreurs courantes.
Pour permettre un traitement efficace par l’IA, nous avons structuré les contenus selon une hiérarchie claire, à la fois compréhensible pour l’humain et exploitable par la machine. Chaque fiche a été pensée comme un petit module autonome, lisible et cohérent.
La phase suivante a consisté à paramétrer l’IA pour obtenir des contenus adaptés au ton souhaité : informatif, accessible, mais rigoureux. Nous avons défini le format attendu, ajusté la créativité, cadré la longueur, et choisi les modèles d’IA les plus adaptés au contexte — en tenant compte de la qualité, du coût et du temps de traitement.
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Le projet a permis de restructurer l’intégralité du catalogue : près de 2000 fiches produits réécrites, unifiées, et prêtes à être publiées. Le contenu est désormais cohérent, plus clair pour les visiteurs, et optimisé pour les moteurs de recherche. Moins de 5 % des fiches ont nécessité une correction manuelle.
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Et ensuite ?
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Le travail de fond réalisé sur les données ouvre la voie à une nouvelle étape : la mise en place d’un chatbot RAG. Grâce à cette structuration, Medicalem pourra bientôt proposer à ses visiteurs une recherche produit en langage naturel — aussi simple qu’une conversation avec une IA.
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On a découvert que l’IA peut faire des merveilles… à condition d’être bien pilotée ! Grâce à un travail structuré et expert, nos 2000 fiches produits ont été transformées, et les résultats sont déjà visibles.
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Catherine, Co-fondatrice et Présidente de Medicalem
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