{"id":10255,"date":"2021-06-16T14:19:32","date_gmt":"2021-06-16T13:19:32","guid":{"rendered":"https:\/\/www.artefact.com\/?post_type=cases&#038;p=10255"},"modified":"2024-09-20T17:39:20","modified_gmt":"2024-09-20T16:39:20","slug":"maif-using-topic-modelling-to-reduce-contact-centre-bottlenecks","status":"publish","type":"cases","link":"https:\/\/www.artefact.com\/de\/cases\/maif-using-topic-modelling-to-reduce-contact-centre-bottlenecks\/","title":{"rendered":"<span class=\"highlight\">MAIF<\/span> Topic Modelling zur Reduzierung von Engp\u00e4ssen in Kontaktzentren."},"content":{"rendered":"<p><article class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-video fusion-youtube\" style=\"--awb-max-width:750px;--awb-max-height:422px;\"><div class=\"video-shortcode\"><div class=\"fluid-width-video-wrapper\" style=\"padding-top:56.27%;\" ><iframe title=\"YouTube-Videoplayer 1\" src=\"https:\/\/www.youtube.com\/embed\/ysjzhwSKL5E?wmode=transparent&autoplay=0\" width=\"750\" height=\"422\" allowfullscreen allow=\"autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture;\"><\/iframe><\/div><\/div><\/div><div class=\"fusion-text fusion-text-1 description\"><p>Erfahrungsbericht eines Kunden:\n\u201cArtefact hat Algorithmen zur Verarbeitung nat\u00fcrlicher Sprache (NLP) entwickelt, um die Themen von Kundenanrufen zu verstehen.\nSie halfen uns, neue Selbsthilfefunktionen f\u00fcr die MAIF-Website zu entwickeln.\nDank der Analyse der Anrufe erhielten wir einen guten Einblick in die Bed\u00fcrfnisse unserer Kunden\u201d, sagt Michel Tourni\u00e9, Digital and Data Projects Lead, MAIF<\/p>\n<\/div><\/div><\/div><\/div><\/article><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-2 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-background-color:#ffffff;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-1 fusion_builder_column_1_1 1_1 fusion-flex-column leparagraphe\" style=\"--awb-bg-color:#ffffff;--awb-bg-color-hover:#ffffff;--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-title title fusion-title-1 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-margin-bottom-small:8px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:50;line-height:1.2;\">Die Herausforderung<\/h2><\/div><div class=\"fusion-text fusion-text-2\" style=\"--awb-text-transform:none;\"><p>MAIF ist eine der gr\u00f6\u00dften franz\u00f6sischen Haus- und Kfz-Versicherungsgesellschaften mit mehr als <strong>3 Millionen Mitglieder<\/strong>.<\/p>\n<p>Eine der Herausforderungen f\u00fcr das Kundendienstteam war die Bew\u00e4ltigung des Anrufvolumens, das im Callcenter einging - im Durchschnitt wurden etwa <strong>8 Millionen pro Jahr<\/strong>.<\/p>\n<p>Da es keine M\u00f6glichkeit gab, Anrufe zu pr\u00fcfen, bevor sie einen Operator erreichten, verschwendete das Team wertvolle Zeit mit der Beantwortung von Fragen, auf die die Kunden auf der MAIF-Website leicht eine Antwort finden konnten. <a href=\"https:\/\/www.maif.fr\/\" target=\"_blank\" rel=\"noopener\">Website<\/a>.<\/p>\n<p>An<strong> die Effizienz verbessern<\/strong>, mussten wir unn\u00f6tige Anrufe herausfiltern und <strong>mehr Zeit zu gewinnen<\/strong> f\u00fcr die Kundendienstteams von MAIF, um kompliziertere Anfragen zu bearbeiten.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-2 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-margin-bottom-small:8px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:50;line-height:1.2;\">Unsere L\u00f6sung<\/h2><\/div><div class=\"fusion-text fusion-text-3\" style=\"--awb-text-color:#000000;\"><p>Um zu verstehen, warum Kunden das Callcenter von MAIF anrufen, haben wir ein <strong>Verarbeitung nat\u00fcrlicher Sprache<\/strong> (NLP) Algorithmen, um die Transkripte von mehr als 4 Millionen Anrufen zu analysieren.<\/p>\n<p>Wir haben dann die Themenmodellierung verwendet <strong>um jeden Anruf zu kategorisieren<\/strong> in eine von 35 verschiedenen Anfragearten.<\/p>\n<p>Wir arbeiteten mit den Gesch\u00e4ftsbereichen von MAIF zusammen, um herauszufinden, welche Fragen online gel\u00f6st werden konnten und welche eine menschliche Antwort erforderten oder eine Verkaufschance darstellten.<\/p>\n<p>In den F\u00e4llen, in denen Anrufe keine M\u00f6glichkeit darstellten, gaben wir Hinweise, wie Sie diese Fragen online beantworten k\u00f6nnen.<\/p>\n<\/div><div class=\"fusion-title title fusion-title-3 fusion-sep-none fusion-title-text fusion-title-size-two\" style=\"--awb-margin-bottom-small:8px;\"><h2 class=\"fusion-title-heading title-heading-left fusion-responsive-typography-calculated\" style=\"margin:0;--fontSize:50;line-height:1.2;\">Unsere Ergebnisse<\/h2><\/div><div class=\"fusion-text fusion-text-4\" style=\"--awb-text-color:#000000;\"><p>Unsere Analyse hat gezeigt, dass <strong>32%<\/strong> der eingehenden Anrufe waren \u2018Anfragen mit geringem Mehrwert\u2019 - Fragen, die leicht online beantwortet werden konnten.<\/p>\n<p>Daraufhin erstellten wir eine Roadmap, in der wir MAIF rieten, diese Fragen online zu l\u00f6sen und die Leute auf diese Inhalte zu verweisen, um Anrufe zu vermeiden.<\/p>\n<p>Durch die Digitalisierung dieser Anfragen konnte das MAIF-Kundendienstteam <strong>F\u00e4lle priorisieren<\/strong> die eine menschliche Note erfordern, die Effizienz und den Rund-um-die-Uhr-Service verbessern.<\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-3 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling cta-block\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-2 fusion_builder_column_1_1 1_1 fusion-flex-column cta-content\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-5\"><p><a title=\"\" href=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2020\/10\/e-book-ai-maif-en-web.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Laden Sie die Brosch\u00fcre zum Anwendungsfall des MAIF herunter<\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div><div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-4 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--link_hover_color: #ff0066;--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-padding-top:0px;--awb-padding-right:0px;--awb-padding-bottom:0px;--awb-padding-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:calc( 1440px + 20px );margin-left: calc(-20px \/ 2 );margin-right: calc(-20px \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-3 fusion_builder_column_1_2 1_2 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:50%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-image-element\" style=\"text-align:center;--awb-margin-top:0px;--awb-margin-right:0px;--awb-margin-bottom:0px;--awb-margin-left:0px;--awb-caption-title-font-family:var(--h2_typography-font-family);--awb-caption-title-font-weight:var(--h2_typography-font-weight);--awb-caption-title-font-style:var(--h2_typography-font-style);--awb-caption-title-size:var(--h2_typography-font-size);--awb-caption-title-transform:var(--h2_typography-text-transform);--awb-caption-title-line-height:var(--h2_typography-line-height);--awb-caption-title-letter-spacing:var(--h2_typography-letter-spacing);\"><span class=\"fusion-imageframe imageframe-none imageframe-1 hover-type-none\"><img decoding=\"async\" width=\"1440\" height=\"720\" alt=\"Learn how Artefact&#039;s Augmented Contact Centre solution uses AI to improve customer satisfaction and reduce operational costs.\" title=\"Call Center-Arbeiter\" src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2019\/11\/Maifcallcenter-new.jpg\" data-orig-src=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2019\/11\/Maifcallcenter-new.jpg\" class=\"lazyload img-responsive wp-image-5032\" srcset=\"data:image\/svg+xml,%3Csvg%20xmlns%3D%27http%3A%2F%2Fwww.w3.org%2F2000%2Fsvg%27%20width%3D%271440%27%20height%3D%27720%27%20viewBox%3D%270%200%201440%20720%27%3E%3Crect%20width%3D%271440%27%20height%3D%27720%27%20fill-opacity%3D%220%22%2F%3E%3C%2Fsvg%3E\" data-srcset=\"https:\/\/www.artefact.com\/\/wp-content\/uploads\/2019\/11\/Maifcallcenter-new-200x100.jpg 200w, https:\/\/www.artefact.com\/\/wp-content\/uploads\/2019\/11\/Maifcallcenter-new.jpg 1440w\" data-sizes=\"auto\" data-orig-sizes=\"(max-width: 640px) 100vw, 1440px\" \/><\/span><\/div><\/div><\/div><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-4 fusion_builder_column_1_2 1_2 fusion-flex-column fusion-flex-align-self-center\" style=\"--awb-bg-size:cover;--awb-width-large:50%;--awb-margin-top-large:0px;--awb-spacing-right-large:10px;--awb-margin-bottom-large:0px;--awb-spacing-left-large:10px;--awb-width-medium:50%;--awb-order-medium:0;--awb-spacing-right-medium:10px;--awb-spacing-left-medium:10px;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:10px;--awb-spacing-left-small:10px;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-center fusion-content-layout-column\"><div class=\"fusion-text fusion-text-6\"><p>Callcenter stellen eine erhebliche Belastung f\u00fcr Unternehmen dar - aber nur <strong>8% von Kunden<\/strong> glauben, dass sie durch einen Anruf einen qualitativ besseren Service erhalten.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/p>","protected":false},"excerpt":{"rendered":"","protected":false},"featured_media":5032,"parent":0,"template":"","meta":{"_acf_changed":false,"ep_exclude_from_search":false},"categories":[21927],"class_list":["post-10255","cases","type-cases","status-publish","has-post-thumbnail","hentry","category-banking"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/cases\/10255","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/cases"}],"about":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/types\/cases"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/media\/5032"}],"wp:attachment":[{"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/media?parent=10255"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.artefact.com\/de\/wp-json\/wp\/v2\/categories?post=10255"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}