{"id":12187,"date":"2022-06-01T11:46:33","date_gmt":"2022-06-01T11:46:33","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=blog&#038;p=12187"},"modified":"2023-12-07T16:53:11","modified_gmt":"2023-12-07T16:53:11","slug":"use-cases-of-ai-in-the-fashion-industry","status":"publish","type":"blog","link":"https:\/\/aisuperior.com\/es\/blog\/use-cases-of-ai-in-the-fashion-industry\/","title":{"rendered":"IA en la industria de la moda: casos de uso para aplicar el aprendizaje autom\u00e1tico en la moda"},"content":{"rendered":"<p>USD $4.4 mil millones.<\/p>\n<p>Este es el valor previsto del mercado mundial de inteligencia artificial (IA) en la industria de la moda para 2027, seg\u00fan la firma de investigaci\u00f3n Statista.<\/p>\n<p>\u00bfQu\u00e9 est\u00e1 impulsando la r\u00e1pida integraci\u00f3n de la IA en el comercio minorista de moda? En los \u00faltimos dos a\u00f1os, la necesidad de migrar a servicios digitales mostr\u00f3 c\u00f3mo las empresas de moda tuvieron que depender de los datos y la automatizaci\u00f3n para sobrevivir. Solo en 2020, minoristas establecidos como JC Penney, Neiman Marcus y J.Crew cerraron porque no pod\u00edan anticipar tendencias disruptivas.<\/p>\n<p>Se espera que la adopci\u00f3n de la IA en la moda (desde el dise\u00f1o hasta la fabricaci\u00f3n y la distribuci\u00f3n) se generalice en los pr\u00f3ximos a\u00f1os a medida que m\u00e1s minoristas comprendan el poder de aprovechar los datos para la personalizaci\u00f3n del consumidor y la optimizaci\u00f3n de procesos.<\/p>\n<h3><span class=\"wp-block-heading\">Aplicaci\u00f3n de la IA en la industria de la moda<\/span><\/h3>\n<p>Para comprender mejor c\u00f3mo la IA est\u00e1 transformando la forma en que se produce y consume la moda, veamos c\u00f3mo se utiliza la ciencia de datos en la industria de la moda.<\/p>\n<h3><span class=\"wp-block-heading\">Experiencias de comprador personalizadas y vestidores virtuales<\/span><\/h3>\n<p>A medida que m\u00e1s y m\u00e1s clientes opten por la comodidad del comercio electr\u00f3nico, las aplicaciones minoristas ser\u00e1n m\u00e1s necesarias que nunca. Los algoritmos pueden hacer recomendaciones precisas basadas en datos capturados de los patrones de compra de los clientes. No s\u00f3lo es f\u00e1cil navegar por las categor\u00edas de productos, sino que los clientes tambi\u00e9n reciben art\u00edculos relacionados que complementan sus opciones. Adem\u00e1s, marcas como ASOS y Macy&#039;s utilizan una plataforma de inteligencia artificial que coloca ropa encima de las fotos de los compradores potenciales, que cargan en la aplicaci\u00f3n. El resultado es un vestidor virtual perfecto.<\/p>\n<p>Esta personalizaci\u00f3n aborda las opciones limitadas que enfrentan la mayor\u00eda de los consumidores cuando visitan tiendas f\u00edsicas. El an\u00e1lisis demogr\u00e1fico estrat\u00e9gico tambi\u00e9n puede ayudar a identificar clientes potenciales y sus h\u00e1bitos de gasto, lo que da como resultado mejores campa\u00f1as de marketing dirigidas al p\u00fablico adecuado.<\/p>\n<h3><span class=\"wp-block-heading\">An\u00e1lisis de tendencias y predicci\u00f3n de la demanda.<\/span><\/h3>\n<p>A trav\u00e9s del an\u00e1lisis de datos, los algoritmos pueden realizar pron\u00f3sticos de moda, incluido el escaneo de la web en busca de tendencias emergentes y futuras. La IA recopila datos de las redes sociales, desfiles de moda, resultados de b\u00fasqueda, encuestas y sentimientos de los consumidores para predecir mejor qu\u00e9 ropa se vender\u00e1 a qu\u00e9 clientes. Luego, el algoritmo identifica patrones recurrentes, preferencias demogr\u00e1ficas y estilos en desarrollo.<\/p>\n<p>El an\u00e1lisis de datos aborda el principal desaf\u00edo de los minoristas a la hora de anticipar oportunidades de negocio. Las plataformas de redes sociales como TikTok e Instagram suelen ser focos de tendencias de moda, pero muchas empresas no analizan ni incorporan adecuadamente estos desarrollos en sus estrategias comerciales, lo que genera p\u00e9rdidas de oportunidades.<\/p>\n<h3><span class=\"wp-block-heading\">Optimizaci\u00f3n de la cadena de suministro y automatizaci\u00f3n de procesos.<\/span><\/h3>\n<p>Una cadena de suministro impulsada por IA garantiza que los minoristas est\u00e9n al tanto de su proceso de fabricaci\u00f3n, desde el abastecimiento de dise\u00f1os hasta la selecci\u00f3n de materiales y el env\u00edo de productos a nivel mundial. Utilizando una combinaci\u00f3n de dispositivos interconectados, como sensores, c\u00e1maras y c\u00f3digos QR, el software ahora puede identificar la forma m\u00e1s eficiente de cortar telas y entregar materiales entre f\u00e1bricas.<\/p>\n<p>Una cadena de suministro automatizada puede reducir los costos de electricidad y mano de obra, y reduce los retrasos en los env\u00edos. Las operaciones se simplifican para reemplazar de manera eficiente los art\u00edculos que se venden r\u00e1pidamente, y se desarrollan y producen r\u00e1pidamente nuevos estilos.<\/p>\n<h3><span class=\"wp-block-heading\">Desaf\u00edos de implementar la IA en el comercio minorista de moda<\/span><\/h3>\n<p>Hay tres desaf\u00edos principales en la integraci\u00f3n del aprendizaje autom\u00e1tico en la moda.<\/p>\n<ul>\n<li><strong>Falta de recopilaci\u00f3n y procesamiento de datos estandarizados y centralizados.\u00a0<\/strong>Si bien muchos minoristas tienen presencia en l\u00ednea, no cuentan con una aplicaci\u00f3n o software intuitivo para recopilar datos de manera eficiente y crear informes o narrativas significativas. Si bien algunas empresas de moda cuentan con una base de datos o conocimientos, pueden estar desorganizadas y no tan actualizadas como deber\u00edan.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Lenta integraci\u00f3n de la automatizaci\u00f3n en procesos heredados.\u00a0<\/strong>Muchas f\u00e1bricas todav\u00eda fabrican ropa de forma tradicional, lo que da como resultado una producci\u00f3n ineficiente, pr\u00e1cticas poco \u00e9ticas y una baja producci\u00f3n. Algunas empresas tambi\u00e9n dudan en invertir en automatizaci\u00f3n porque el capital inicial es caro, incluida la formaci\u00f3n del personal.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<ul>\n<li><strong>Lenta adopci\u00f3n de servicios en la nube y plataformas en l\u00ednea.<\/strong>\u00a0Incluso con numerosas empresas que ofrecen software como servicio (SaaS) y plataforma como servicio (PaaS), muchos minoristas todav\u00eda no saben c\u00f3mo crear sitios de comercio electr\u00f3nico optimizados y utilizar la ciencia de datos para optimizar su producci\u00f3n. procesos.<\/li>\n<\/ul>\n<h3><span class=\"wp-block-heading\">C\u00f3mo puede ayudar AI Superior<\/span><\/h3>\n<p class=\"translation-block\">\u00bfEst\u00e1 buscando implementar soluciones basadas en inteligencia artificial en su negocio minorista de moda pero no sabe por d\u00f3nde empezar? Podemos ayudarlo a identificar qu\u00e9 proceso puede automatizar mediante el aprendizaje autom\u00e1tico. Nuestros servicios y soluciones pueden abordar los desaf\u00edos de implementar la ciencia de datos en sus flujos de trabajo, cadenas de suministro y estrategias comerciales, incluida la recopilaci\u00f3n y el an\u00e1lisis de datos. Al tener en cuenta todos los factores que afectan su negocio minorista, podemos dise\u00f1ar una soluci\u00f3n de IA personalizada que aborde todas sus necesidades. <a href=\"https:\/\/aisuperior.com\/es\/contact\/\" target=\"_self\">Cont\u00e1ctenos<\/a> para cualquier consulta o solicitud de demostraci\u00f3n.<\/p>","protected":false},"excerpt":{"rendered":"<p>USD $4.4 billion. This is the forecast value of the global artificial intelligence (AI) market in the fashion industry by 2027, according to research firm Statista. What is driving the rapid integration of AI in fashion retail? In the past two years, the need to migrate to digital services showed how fashion companies had to [&hellip;]<\/p>\n","protected":false},"featured_media":12188,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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