{"id":82241,"date":"2026-10-26T13:11:40","date_gmt":"2026-10-26T12:11:40","guid":{"rendered":"https:\/\/aton.com\/atonews\/service-desk-fashion-retail-ai-gestione-richieste\/"},"modified":"2026-10-27T10:41:39","modified_gmt":"2026-10-27T09:41:39","slug":"service-desk-fashion-retail-ia-gestion-solicitudes","status":"publish","type":"post","link":"https:\/\/aton.com\/es\/atonews\/service-desk-fashion-retail-ia-gestion-solicitudes\/","title":{"rendered":"Service Desk en fashion retail: c\u00f3mo la IA apoya la gesti\u00f3n de las solicitudes"},"content":{"rendered":"<p data-pm-slice=\"1 1 []\"><em>Para solicitar asistencia, \u00bfla tienda debe saber de antemano c\u00f3mo clasificar el problema?<\/em><\/p>\n<p data-pm-slice=\"1 1 []\">Partimos de esta pregunta el jueves 22 de octubre, durante nuestro webinar en LinkedIn, <strong>\u201cFashion retail: m\u00e1s tiempo para el cliente con la IA en el Service Desk\u201d<\/strong>.<\/p>\n<p>Seguimos el recorrido de una solicitud de asistencia, desde la primera incidencia hasta la intervenci\u00f3n de los especialistas necesarios para resolverla, analizando <strong>c\u00f3mo puede intervenir la inteligencia artificial en las distintas fases del proceso<\/strong>.<\/p>\n<p>Entre las tecnolog\u00edas presentadas, nos centramos en dos soluciones desarrolladas por Aton: <strong>AI Call Manager<\/strong> y <strong>Live Call Translator<\/strong>.<\/p>\n<h2><strong>AI Call Manager: recopilar informaci\u00f3n desde la primera llamada<\/strong><\/h2>\n<p>Cuando un operador no est\u00e1 disponible de inmediato, <strong>AI Call Manager<\/strong> puede empezar a recopilar la informaci\u00f3n necesaria para gestionar la solicitud.<\/p>\n<p>A trav\u00e9s de la escucha y la transcripci\u00f3n de la incidencia, el sistema ayuda a <strong>entender y contextualizar el problema<\/strong>. El personal de tienda puede explicar qu\u00e9 est\u00e1 ocurriendo, mientras el Service Desk comienza a organizar la informaci\u00f3n necesaria para gestionar la solicitud.<\/p>\n<p>De este modo, esta fase inicial puede pasar de menos de un minuto, nuestro est\u00e1ndar, a unos <strong>15\u201320 segundos<\/strong>, aprovechando tambi\u00e9n el tiempo de espera para preparar la solicitud antes de que intervenga un operador.<\/p>\n<h2><strong>Live Call Translator: gestionar la asistencia en redes internacionales<\/strong><\/h2>\n<p>Cuando una red retail opera en distintos pa\u00edses, las solicitudes de asistencia deben poder entenderse y dirigirse correctamente, <strong>independientemente del idioma utilizado por la tienda<\/strong>.<\/p>\n<p><strong>Live Call Translator<\/strong> de Aton, desarrollado para cubrir los idiomas que requiera cada cliente, est\u00e1 dise\u00f1ado para facilitar la traducci\u00f3n y comprensi\u00f3n de las solicitudes, adem\u00e1s de apoyar la clasificaci\u00f3n y asignaci\u00f3n de los tickets.<\/p>\n<p>La tecnolog\u00eda complementa un Service Desk que ya ofrece <strong>soporte en 14 idiomas<\/strong>.<\/p>\n<h2><strong>La IA en el Service Desk: el modelo Aton<\/strong><\/h2>\n<p>AI Call Manager y Live Call Translator forman parte del modelo de <a href=\"https:\/\/aton.com\/es\/service-desk\/\" target=\"_blank\" rel=\"noopener\">Service Desk<\/a> de Aton, basado en un <strong>enfoque Human First<\/strong>, en el que la tecnolog\u00eda est\u00e1 al servicio de las personas y de sus competencias.<\/p>\n<p>La inteligencia artificial puede agilizar algunas fases preliminares del proceso, desde la recopilaci\u00f3n de informaci\u00f3n y la traducci\u00f3n hasta la clasificaci\u00f3n y asignaci\u00f3n de las solicitudes. De este modo, los operadores pueden recibir <strong>incidencias ya contextualizadas<\/strong> y centrarse en el an\u00e1lisis, la toma de decisiones y la coordinaci\u00f3n de los especialistas necesarios para resolverlas.<\/p>\n<p><strong>Las personas siguen estando en el centro del servicio<\/strong>, aportando su experiencia y capacidad de evaluaci\u00f3n, mientras la IA contribuye a simplificar el trabajo diario.<\/p>\n<p>Durante el webinar mostramos este modelo a trav\u00e9s de <strong>casos reales, demos y simulaciones<\/strong>, profundizando tambi\u00e9n en el papel de la <strong>base de conocimiento<\/strong> y en la coordinaci\u00f3n entre los distintos niveles de soporte.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Para solicitar asistencia, \u00bfla tienda debe saber de antemano c\u00f3mo clasificar el problema? Partimos de esta pregunta el jueves 22 de octubre, durante nuestro webinar en LinkedIn, \u201cFashion retail: m\u00e1s tiempo para el cliente con la IA en el Service Desk\u201d. Seguimos el recorrido de una solicitud de asistencia, desde la primera incidencia hasta la [&hellip;]<\/p>\n","protected":false},"author":22,"featured_media":82243,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false},"class_list":["post-82241","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","keyword-service-desk-es"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Service Desk en fashion retail: el papel de la IA - Aton<\/title>\n<meta name=\"description\" content=\"\u00bfC\u00f3mo mejora la IA el Service Desk en fashion retail? 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