{"id":31802,"date":"2026-03-24T12:24:29","date_gmt":"2026-03-24T11:24:29","guid":{"rendered":"https:\/\/www.newtonvaureal.com\/?p=31802"},"modified":"2026-03-24T12:30:12","modified_gmt":"2026-03-24T11:30:12","slug":"ia_generative_agents_cas_usage_supply_chain","status":"publish","type":"post","link":"https:\/\/www.newtonvaureal.com\/fr\/actualite\/ia_generative_agents_cas_usage_supply_chain\/","title":{"rendered":"IA g\u00e9n\u00e9rative et agents : les cas d’usage en supply chain"},"content":{"rendered":"\t\t
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Interview de notre associ\u00e9 J\u00e9r\u00f4me Bour, parue dans le num\u00e9ro 85 de Supply Chain Magazine<\/a>, dans le dossier Conseil.\u00a0<\/p>

Supply Chain Magazine\u00a0: De quelle fa\u00e7on l\u2019IA g\u00e9n\u00e9rative est-elle d\u00e9j\u00e0 utilis\u00e9e dans la Supply Chain\u00a0?<\/strong><\/p>

J\u00e9r\u00f4me Bour\u00a0:<\/strong> Nous observons aujourd\u2019hui trois cas d’usage avec des mises en \u0153uvre concr\u00e8tes en Supply Chain.\u00a0\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Le premier concerne les interactions en langage naturel avec les logiciels<\/strong> de fa\u00e7on \u00e0 en faciliter l\u2019usage. Plus besoin d\u2019\u00eatre un expert en APS pour l\u2019interroger en langage naturel et lui demander par exemple de revoir la pr\u00e9vision sur une cat\u00e9gorie de produits pour les quatre prochaines semaines en int\u00e9grant en plus les \u00e9v\u00e8nements ext\u00e9rieurs susceptibles d\u2019influer sur la pr\u00e9vision de ventes. La sc\u00e9narisation avec ces syst\u00e8mes complexes est ainsi rendue possible de fa\u00e7on relativement simple. L\u2019usage de ces solutions s\u2019ouvre donc \u00e0 des populations plus larges et moins sp\u00e9cialistes. Si les \u00e9diteurs progressent sur l\u2019int\u00e9gration de ce cas d\u2019usage, l\u2019adoption reste encore faible.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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On observe un deuxi\u00e8me cas d\u2019usage d\u2019IA g\u00e9n\u00e9rative pour recenser et rendre accessible des \u00e9l\u00e9ments internes \u00e0 l\u2019entreprise<\/strong>, ceci gr\u00e2ce \u00e0 la technologie RAG<\/strong> (retrieval augmented generation – g\u00e9n\u00e9ration augment\u00e9e par r\u00e9cup\u00e9ration). Le mod\u00e8le est nourri avec les documents propres \u00e0 l\u2019entreprise et permet de r\u00e9pondre par exemple \u00e0 des questions li\u00e9es aux processus. Un certain nombre d\u2019entreprises ont mont\u00e9 des chatbots IA privatifs qui utilisent leur banque de ressources et leurs proc\u00e9dures. En plus de donner une r\u00e9ponse, le mod\u00e8le peut ainsi citer ses sources propres. Ce mode de fonctionnement permet de r\u00e9duire les hallucinations.<\/p>

Le troisi\u00e8me sujet concerne le retour d\u2019une forme de d\u00e9veloppement sp\u00e9cifique<\/strong> gr\u00e2ce \u00e0 la capacit\u00e9 de l\u2019IA \u00e0 g\u00e9n\u00e9rer du code<\/strong>. Alors qu\u2019historiquement, il pouvait s\u2019av\u00e9rer tr\u00e8s compliqu\u00e9 de faire \u00e9voluer des ERP ou des WMS pour coller parfaitement aux besoins, nous avons d\u00e9sormais la capacit\u00e9 de g\u00e9n\u00e9rer tr\u00e8s rapidement des applications.<\/p>

Nous avons accompagn\u00e9 un client dont l\u2019enjeu concernait un processus de contr\u00f4le qualit\u00e9 en r\u00e9ception entrep\u00f4t dont le p\u00e9rim\u00e8tre complet n\u2019\u00e9tait pas couvert par le WMS en place. Une fois le besoin correctement exprim\u00e9 en prompt, nous avons g\u00e9n\u00e9r\u00e9 tr\u00e8s rapidement une application avec du code de qualit\u00e9 et document\u00e9.<\/p>

SCMag\u00a0: Qu\u2019en est-il des applications concr\u00e8tes de l\u2019IA agentique\u00a0?<\/strong><\/p>

J.B\u00a0: <\/strong>Nous sommes encore en phase d\u2019am\u00e9lioration. On commence \u00e0 voir des agents tr\u00e8s sp\u00e9cialis\u00e9s<\/strong>. J\u2019ai par exemple d\u00e9couvert r\u00e9cemment chez un grand \u00e9diteur de WMS et TMS un agent capable de faire du contr\u00f4le facture transport. Je peux vous citer un autre exemple observ\u00e9 aux Etats-Unis, celui d\u2019un agent \u00ab\u00a0tr\u00e8s humain\u00a0\u00bb qui g\u00e8re l’interaction avec les chauffeurs \u00e0 propos des sujets d\u2019anomalies, d\u2019incidents, replanification des op\u00e9rations\u2026 Ce sont des choses qui existaient dans les TMS mais les agents apportent plus de souplesse et la capacit\u00e9 de g\u00e9rer les aspects conversationnels. Cela dit d\u2019une mani\u00e8re g\u00e9n\u00e9rale, en raison de leurs difficult\u00e9s \u00e0 appr\u00e9hender l\u2019ensemble des \u00e9l\u00e9ments contextuels, ces agents restent sous une supervision humaine<\/strong> assez forte.<\/p>

Nous avons r\u00e9cemment men\u00e9 un projet mixant un agent et de la technologie RPA (Robotic Process Automation). Sur le m\u00eame principe qu\u2019une ressource humaine, il faut s\u00e9lectionner les agents pour des processus bien identifi\u00e9s, les former et les superviser. Mais les agents ne remplaceront pas la moiti\u00e9 du personnel\u00a0! A terme, les entreprises seront dot\u00e9es d\u2019un ensemble d\u2019agents<\/strong>, chacun tr\u00e8s sp\u00e9cialis\u00e9 sur son sujet, qui collaboreront entre eux. Actuellement, le sujet des normes de communication entre agents avance bien.<\/p>

SCMag\u00a0: Vos clients et \/ ou prospects vous consultent-ils avec les id\u00e9es d\u00e9j\u00e0 tr\u00e8s claires sur les cas d\u2019usages cibles ou y-a-t-il une tendance \u00e0 simplement vouloir \u00ab\u00a0faire de l\u2019IA\u00a0pour faire de l\u2019IA\u00a0\u00bb ?<\/strong><\/p>

J.B\u00a0: <\/strong>Nous rencontrons les deux cas de figure. Parfois, la volont\u00e9 provient directement de la direction g\u00e9n\u00e9rale<\/strong> qui souhaite gagner en efficacit\u00e9 par le biais de l\u2019IA. C\u2019est prendre le probl\u00e8me dans le mauvais sens\u00a0! Rapidement, nous r\u00e9orientons les clients dans le deuxi\u00e8me sch\u00e9ma consistant \u00e0 se concentrer sur l\u2019identification des cas d\u2019usages pertinents<\/strong>. C\u2019est notre r\u00f4le de consultants de les accompagner dans ce cheminement et de s\u2019assurer d\u2019un certains nombres de pr\u00e9requis. C\u2019est le cas de la data\u00a0<\/strong>: qualit\u00e9, disponibilit\u00e9 et gouvernance\u2026 Pour qu\u2019une IA soit en mesure de produire des tableaux de bord pertinents, elle doit \u00eatre aliment\u00e9e en donn\u00e9es justes. Un des premiers sujets est d\u2019arriver \u00e0 impliquer davantage les directions Supply Chain dans le pilotage et la gouvernance de la data.<\/p>

Nous aidons aussi beaucoup nos clients sur les sujets de gestion du changement<\/strong> pour les aider notamment \u00e0 embarquer les \u00e9quipes directement concern\u00e9es et d\u00e9passer l\u2019id\u00e9e que l\u2019IA est synonyme de suppression de postes. C\u2019est de cette fa\u00e7on qu\u2019il est possible d\u2019aller au-del\u00e0 du POC\u00a0; les passages \u00e0 l\u2019\u00e9chelle \u00e9tant souvent frein\u00e9s par une mauvaise conduite du changement.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Interview de notre associ\u00e9 J\u00e9r\u00f4me Bour, parue dans le num\u00e9ro 85 de Supply Chain Magazine, dans le dossier Conseil.\u00a0 Supply Chain Magazine\u00a0: De quelle fa\u00e7on l\u2019IA g\u00e9n\u00e9rative est-elle d\u00e9j\u00e0 utilis\u00e9e …<\/p>\n","protected":false},"author":3,"featured_media":31807,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2,4],"tags":[],"class_list":["post-31802","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualite","category-nos-articles"],"acf":[],"yoast_head":"\nIA g\u00e9n\u00e9rative et agents : les cas d'usage en supply chain - Newton.Vaureal Consulting<\/title>\n<meta name=\"description\" content=\"les cas d'usage op\u00e9rationnels de l'IA g\u00e9n\u00e9rative et des agents en supply chain et les cl\u00e9s pour r\u00e9ussir son projet\" \/>\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.newtonvaureal.com\/fr\/actualite\/ia_generative_agents_cas_usage_supply_chain\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"IA g\u00e9n\u00e9rative et agents : les cas d'usage en supply chain - 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