{"id":38974,"date":"2026-04-08T10:30:21","date_gmt":"2026-04-08T09:30:21","guid":{"rendered":"https:\/\/www.argonandco.com\/?post_type=article&p=38974"},"modified":"2026-04-08T10:49:01","modified_gmt":"2026-04-08T09:49:01","slug":"industrie-pharmaceutique-transformer-le-demand-planning-grace-au-machine-learning","status":"publish","type":"article","link":"https:\/\/www.argonandco.com\/fr\/news-insights\/articles\/industrie-pharmaceutique-transformer-le-demand-planning-grace-au-machine-learning\/","title":{"rendered":"Industrie pharmaceutique, transformer le demand planning gr\u00e2ce au Machine Learning"},"content":{"rendered":"

Dans l’industrie pharmaceutique, une mauvaise pr\u00e9vision ne se mesure pas seulement en \u00e9cart de stock. Elle se mesure en ruptures d’approvisionnement, en patients sans traitement, en parts de march\u00e9 perdues au profit d’un concurrent plus fiable.<\/p>\n

Pourtant, la majorit\u00e9 des processus de demand planning reposent encore sur des mod\u00e8les statistiques monovari\u00e9s, construits sur un seul historique de ventes, incapables d’int\u00e9grer la multiplicit\u00e9 des signaux disponibles : sell-out, stocks distributeurs, donn\u00e9es \u00e9pid\u00e9miologiques, plans marketing, pricing concurrentiel…<\/p>\n

Le Machine Learning<\/strong> change fondamentalement la donne.
\nNon pas comme une promesse technologique abstraite, mais comme une r\u00e9ponse concr\u00e8te \u00e0 des probl\u00e8mes op\u00e9rationnels bien identifi\u00e9s :<\/p>\n

\u2022 Int\u00e9gration de dizaines de features h\u00e9t\u00e9rog\u00e8nes dans un mod\u00e8le unique et scalable
\n\u2022 Mod\u00e9lisation des non-lin\u00e9arit\u00e9s et des interactions entre variables impossibles \u00e0 formuler statistiquement
\n\u2022 R\u00e9sultats explicables, adoptables par les \u00e9quipes de planification
\n\u2022 Automatisation du signal de base, pour que les demand planners se concentrent sur les d\u00e9cisions \u00e0 fort enjeu<\/p>\n

Sur le terrain, les r\u00e9sultats parlent d’eux-m\u00eames :<\/p>\n

\u2022 +3,5%<\/strong> de chiffre d’affaires (via l’am\u00e9lioration du fill-rate)
\n\u2022 -8,2%<\/strong> de stock de produits finis
\n\u2022 80%<\/strong> d’automatisation du processus de forecast<\/p>\n

Thibaut Dyen<\/strong>, Associate Partner, Mickail Voyiatzis<\/strong>, Principal, Franck Kakal<\/strong> et Guilhem Delorme<\/strong>, Partner chez Argon & Co<\/strong>, proposent un article de fond qui d\u00e9taille notre approche – des enjeux sectoriels aux r\u00e9sultats mesurables, en passant par l’architecture technique et la transformation du r\u00f4le des \u00e9quipes planning.<\/p>\n

Pour en savoir plus sur ces r\u00e9sultats t\u00e9l\u00e9chargez le livre blanc ici<\/a><\/p>\n

Nous serons pr\u00e9sents \u00e0 LogiPharma 2026<\/a>, le rendez-vous mondial de la supply chain Life Sciences, du 14 au 16 avril \u00e0 Vienne (Austria Center).<\/p>\n

Si vous souhaitez \u00e9changer sur la transformation de vos processus de demand planning, rencontrer l’\u00e9quipe Argon & Co & IRIS by Argon & Co, ou simplement d\u00e9battre des enjeux du secteur : venez nous retrouver sur place.<\/p>\n

N’h\u00e9sitez \u00e9galement pas \u00e0 nous contacter en amont pour planifier un \u00e9change.<\/a><\/p>\n","protected":false},"featured_media":38975,"template":"","categories":[],"class_list":["post-38974","article","type-article","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nIndustrie pharmaceutique, transformer le demand planning gr\u00e2ce au Machine Learning - Argon & Co<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.argonandco.com\/fr\/news-insights\/articles\/industrie-pharmaceutique-transformer-le-demand-planning-grace-au-machine-learning\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Industrie pharmaceutique, transformer le demand planning gr\u00e2ce au Machine Learning - Argon & Co\" \/>\n<meta property=\"og:description\" content=\"Dans l’industrie pharmaceutique, une mauvaise pr\u00e9vision ne se mesure pas seulement en \u00e9cart de stock. 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