{"id":7797,"date":"2021-07-27T13:22:19","date_gmt":"2021-07-27T11:22:19","guid":{"rendered":"https:\/\/golem.ai\/blog\/ia-analyse-pieces-jointes\/"},"modified":"2022-04-22T11:56:13","modified_gmt":"2022-04-22T09:56:13","slug":"ia-analyse-pieces-jointes","status":"publish","type":"post","link":"https:\/\/miralia.ai\/en\/blog\/relation-client\/ia-analyse-pieces-jointes","title":{"rendered":"Comment analyser les pi\u00e8ces jointes avec l\u2019IA ?"},"content":{"rendered":"<h3>Les messages entrants issus de diff\u00e9rents canaux de communication (mail, messagerie instantan\u00e9e, r\u00e9seaux sociaux, WhatsApp\u2026) sont tr\u00e8s souvent accompagn\u00e9s de pi\u00e8ces jointes. Ce constat est d\u2019autant plus av\u00e9r\u00e9 depuis la pand\u00e9mie qui a profond\u00e9ment fait \u00e9voluer les modes d\u2019interaction entre les marques et leurs clients, limitant de facto les interactions physiques et faisant exploser les interactions num\u00e9riques. D\u00e9couvrez comment l\u2019intelligence artificielle chez Golem.ai analyse ces messages et surtout leurs pi\u00e8ces jointes.<\/h3>\n<p><\/p>\n<h2>Multi-intentions et pi\u00e8ces jointes&nbsp;<\/h2>\n<p>Dans environ 20% des cas, le corps du message contient d\u00e9j\u00e0 plusieurs intentions permettant un premier <strong>routage des emails<\/strong> vers plusieurs bannettes. La prise en compte des pi\u00e8ces jointes fait grimper ce chiffre \u00e0 33%*. Un tiers des messages contenant des pi\u00e8ces jointes est constitu\u00e9 d\u2019au moins deux intentions et doit \u00eatre rout\u00e9 vers autant de bannettes.<br>With <strong><a href=\"https:\/\/golem.ai\/fr\/produits\/inboxcare\"><span style=\"color: #e27e5a;\">InboxCare<\/span><\/a><\/strong>, les pi\u00e8ces jointes sont extraites du message. Elles passent ensuite dans l\u2019Extracteur, composant de la plateforme Golem.ai, qui permet de transformer en texte brut tous les formats de fichier, afin de les pr\u00e9parer pour le moteur de <strong>compr\u00e9hension du langage naturel<\/strong> (NLU) qui repr\u00e9sente le c\u0153ur de notre <strong>intelligence artificielle symbolique<\/strong>. Les pi\u00e8ces jointes sont ensuite analys\u00e9es pour en extraire les informations permettant d\u2019affiner la cat\u00e9gorisation du message.<\/p>\n<p><\/p>\n<h2>Analyse d\u2019un use case<\/h2>\n<p>Prenons l\u2019exemple d\u2019une personne qui contacte sa banque pour un changement d\u2019adresse et une autorisation de d\u00e9couvert. Le corps du message de r\u00e9ponse contiendra alors les <strong>deux intentions<\/strong>: \u201cchangement d\u2019adresse\u201d et \u201cdemande d\u2019autorisation de d\u00e9couvert\u201d ainsi qu\u2019une <strong>pi\u00e8ce jointe<\/strong>, le nouveau justificatif de domiciliation avec la nouvelle adresse du client. InboxCare est la seule solution du march\u00e9 qui permet d\u2019extraire la nouvelle adresse de la pi\u00e8ce jointe et de v\u00e9rifier \u00e9galement <strong><a href=\"https:\/\/golem.ai\/fr\/blog\/entreprise\/cas-usage-NLP-compliance\"><span style=\"color: #e27e5a;\">la conformit\u00e9<\/span><\/a><\/strong> de cette derni\u00e8re.<\/p>\n<p><a href=\"https:\/\/golem.ai\/fr\/ressources\/\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-12234 aligncenter\" src=\"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus.png\" sizes=\"(max-width: 480px) 100vw, 480px\" srcset=\"https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus-300x169.png 300w, https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus-768x432.png 768w, https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus-18x10.png 18w, https:\/\/golem-ai-website-wordpress-prod.s3.fr-par.scw.cloud\/wp-content\/uploads\/2022\/03\/26173514\/Contenus.png 960w\" alt=\"\" width=\"480\" height=\"270\"><\/a><\/p>\n<h2>Impact positif sur le d\u00e9lai moyen de traitement et le NPS<\/h2>\n<p>La gestion des pi\u00e8ces jointes dans InboxCare pr\u00e9sente l\u2019avantage de s\u2019int\u00e9grer aux <strong><a href=\"https:\/\/golem.ai\/fr\/blog\/entreprise\/IA-relation-client-chatbot\"><span style=\"color: #e27e5a;\">solutions d\u2019\u00e9changes<\/span><\/a><\/strong> existantes de nos clients et de leur proposer une seule et unique interface de gestion pour tous les flux entrants.<\/p>\n<p>En moyenne, les clients <strong>divisent par dix leurs co\u00fbts <\/strong>de traitement des messages entrants, tout en diminuant leur temps d\u2019analyse &nbsp;et am\u00e9liorant la satisfaction client.&nbsp;<\/p>\n<p><\/p>\n\n\n<p>Vous avez une question sur l&rsquo;analyse des messages entrants par notre IA ? Pour plus d\u2019informations, consultez nos pages solutions <strong><a href=\"https:\/\/golem.ai\/fr\/solutions\/relation-client\/\">customer relationships<\/a><\/strong> ou contactez directement<strong>&nbsp;<a href=\"https:\/\/golem.ai\/en\/contact\/\">nos \u00e9quipes<\/a><\/strong>, elles se feront un plaisir de vous r\u00e9pondre.<\/p>\n\n\n\n<p><em>*Donn\u00e9e interne, bas\u00e9e sur les statistiques de nos Business Analysts.&nbsp;<\/em><\/p>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>L\u2019extraction d\u2019informations dans les messages entrants et les pi\u00e8ces jointes n\u00e9cessite une technologie d\u2019IA capable d&rsquo;analyser toutes les intentions. Retour sur la m\u00e9thode.<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>","protected":false},"author":3,"featured_media":7799,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[68,111],"tags":[],"class_list":["post-7797","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-relation-client"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Comment analyser les pi\u00e8ces jointes avec l\u2019IA ? - Miralia.ai %<\/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:\/\/miralia.ai\/en\/blog\/relation-client\/ia-analyse-pieces-jointes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Comment analyser les pi\u00e8ces jointes avec l\u2019IA ? - Miralia.ai %\" \/>\n<meta property=\"og:description\" content=\"L\u2019extraction d\u2019informations dans les messages entrants et les pi\u00e8ces jointes n\u00e9cessite une technologie d\u2019IA capable d&#039;analyser toutes les intentions. 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