{"id":113389,"date":"2025-05-06T10:00:56","date_gmt":"2025-05-06T10:00:56","guid":{"rendered":"https:\/\/wp.eastgate-software.com\/?p=113389"},"modified":"2026-04-01T15:23:46","modified_gmt":"2026-04-01T08:23:46","slug":"customer-service-ai-hone-in-on-high-roi-use-cases","status":"publish","type":"post","link":"https:\/\/wp.eastgate-software.com\/de\/customer-service-ai-hone-in-on-high-roi-use-cases\/","title":{"rendered":"KI im Kundenservice: Fokus auf Anwendungsf\u00e4lle mit hohem ROI"},"content":{"rendered":"<p><span style=\"color: #000000\">Da KI den Kundenservice weiterhin grundlegend ver\u00e4ndert, konzentrieren sich Unternehmen zunehmend auf Anwendungen mit hohem ROI, die Machbarkeit und Gesch\u00e4ftswert in Einklang bringen. Laut einer Gartner-Analyse aus dem Jahr 2025 planen 851.050 der f\u00fchrenden Kundenserviceunternehmen, im kommenden Jahr kundenorientierte, dialogbasierte KI-L\u00f6sungen zu evaluieren oder in Pilotprojekten einzusetzen.<\/span><\/p>\n<p><span style=\"color: #000000\">Gartner unterteilt Anwendungsf\u00e4lle von KI im Kundenservice in drei Gruppen: vielversprechende L\u00f6sungen, kalkulierte Risiken und geringf\u00fcgige Vorteile. Zu den vielversprechenden L\u00f6sungen \u2013 also solchen mit hohem Nutzen und hoher Realisierbarkeit \u2013 z\u00e4hlen Kundenpersonalisierung, Fallzusammenfassung und Agentenassistenten. Diese L\u00f6sungen erm\u00f6glichen es Agenten, mithilfe KI-gest\u00fctzter Erkenntnisse einen schnelleren und individuelleren Support zu bieten.\u00a0<\/span><\/p>\n<p><span style=\"color: #000000\">Kalkulierte Risiken umfassen Anwendungsf\u00e4lle mit hohem Potenzial, aber auch gr\u00f6\u00dferen technischen Herausforderungen. Dazu geh\u00f6ren Echtzeit-\u00dcbersetzungsdienste, KI-gest\u00fctzte Kundenkorrespondenz und der Einsatz autonomer oder teilautonomer KI-Agenten. KI-Agenten k\u00f6nnen dynamisch mit Menschen und anderen KI-Systemen zusammenarbeiten, um komplexe Probleml\u00f6sungen zu orchestrieren. Dies deutet auf eine Zukunft hin, in der Serviceabteilungen zunehmend auf intelligente, zielorientierte digitale Assistenten setzen.\u00a0<\/span><\/p>\n<p><span style=\"color: #000000\">Marginale Gewinne umfassen weniger wertvolle und weniger realisierbare Initiativen wie Kundensegmentierung mittels KI, Social-Media-Monitoring zur Stimmungsanalyse und passive Stimmbiometrie zur Agentenauthentifizierung. Gartner r\u00e4t aufgrund des begrenzten ROI zu Vorsicht bei diesen Ma\u00dfnahmen.\u00a0<\/span><\/p>\n<p><span style=\"color: #000000\">In Callcentern optimiert KI bereits die Abl\u00e4ufe durch Fallzusammenfassungen, automatisierte Personaleinsatzplanung, mehrsprachigen Echtzeit-Support und Nachbereitung von Kundengespr\u00e4chen. F\u00fcr einen erfolgreichen KI-Einsatz im Kundenservice m\u00fcssen Initiativen priorisiert werden, die die Umsetzbarkeit mit strategischen Gesch\u00e4ftsergebnissen in Einklang bringen.\u00a0<\/span><\/p>\n<p><span style=\"color: #000000\">Mit der zunehmenden Verbreitung von KI und KI-Agenten werden sich Unternehmen, die diese Funktionen durchdacht in ihre Kundenservice-Systeme integrieren, eine optimale Positionierung f\u00fcr herausragende Kundenerlebnisse sichern. Dies f\u00fchrt au\u00dferdem zu verbesserter betrieblicher Effizienz und nachhaltigen Wettbewerbsvorteilen.\u00a0<\/span><\/p>\n<p><span style=\"color: #000000\" data-ccp-props=\"{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;335551550&quot;:6,&quot;335551620&quot;:6,&quot;335559738&quot;:240,&quot;335559739&quot;:240}\">\u00a0<\/span><\/p>\n<p><span style=\"color: #000000\"><b>Quelle:<\/b>\u00a0<\/span><\/p>\n<p><a href=\"https:\/\/www.gartner.com\/en\/articles\/customer-service-ai\"><span data-contrast=\"none\">https:\/\/www.gartner.com\/en\/articles\/customer-service-ai<\/span><\/a><span data-contrast=\"auto\">\u00a0<\/span><span data-ccp-props=\"{&quot;335551550&quot;:6,&quot;335551620&quot;:6}\">\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>As AI continues to transform customer service operations, organizations are increasingly focusing on high-ROI applications that balance feasibility and business value. According to Gartner\u2019s 2025 analysis, 85% of customer service leaders plan to explore or pilot customer-facing conversational AI solutions in the next year. Gartner categorizes customer service AI use cases into three groups: likely [&hellip;]<\/p>","protected":false},"author":238283293,"featured_media":113391,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_crdt_document":"","inline_featured_image":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1584],"tags":[],"class_list":["post-113389","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-enthusiast"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.4 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Customer Service AI: Hone in on High-ROI Use Cases - Eastgate Software<\/title>\n<meta name=\"description\" content=\"As AI continues to transform customer service operations, organizations are increasingly focusing on high-ROI applications.\" \/>\n<meta name=\"robots\" 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