{"id":8811,"date":"2018-08-21T19:54:31","date_gmt":"2018-08-21T19:54:31","guid":{"rendered":"http:\/\/www.criteo.com\/br\/?p=8811"},"modified":"2018-08-24T14:15:09","modified_gmt":"2018-08-24T14:15:09","slug":"tres-marcas-que-usam-machine-learning-com-muita-inteligencia","status":"publish","type":"post","link":"https:\/\/www.criteo.com\/br\/blog\/tres-marcas-que-usam-machine-learning-com-muita-inteligencia\/","title":{"rendered":"Tr\u00eas marcas que usam Machine Learning com muita intelig\u00eancia"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p>Hoje, no competitivo cen\u00e1rio do varejo, relev\u00e2ncia em escala \u00e9 tudo. \u00c9 a\u00ed que entra o Machine Learning como fator determinante para impulsionar as vendas. A tecnologia de Machine Learning tem a capacidade de analisar enormes conjuntos de dados para descobrir insights sobre tend\u00eancias, prefer\u00eancias e at\u00e9 mesmo predi\u00e7\u00f5es sobre o momento certo para impactar cada consumidor.<\/p>\n<p>Selecionamos tr\u00eas marcas que usam Machine Learning para engajar usu\u00e1rios. Veja como essas marcas est\u00e3o utilizando todo o poder do big data para personalizar experi\u00eancias em diferentes canais.<\/p>\n<h3><strong>1. Under Armour<\/strong><\/h3>\n<p>A Under Armour, marca de roupas e artigos esportivos, integrou a tecnologia de Machine Learning ao\u00a0<a href=\"https:\/\/record.underarmour.com\/\">UA Record\u2122<\/a>, seu app de fitness. Monitorando a sa\u00fade do usu\u00e1rio, com base em dados de v\u00e1rias fontes (apps de terceiros, smart watches, dados fornecidos pelos pr\u00f3prios clientes e muito mais), o app oferece uma dieta personalizada e orienta\u00e7\u00f5es de exerc\u00edcios.<\/p>\n<p style=\"text-align: center\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-8812 size-full\" src=\"http:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/Under-Armour-Record-app-e1517515134828.png\" alt=\"\" width=\"1200\" height=\"586\" \/>Foto por Under Armour.<\/p>\n<p>\u201cO app baseia seu treinamento nos resultados de outras pessoas que t\u00eam perfis de sa\u00fade\/fitness similares, bem como em dados extra\u00eddos, por exemplo, de bancos de dados nutricionais, fisiol\u00f3gicos e comportamentais\u201d, relata o site de not\u00edcias <a href=\"http:\/\/www.businessinsider.com\/ibm-under-armour-build-smart-fitness-app-2016-1\">Business Insider<\/a>. O app tamb\u00e9m monitora itens como passadas, nutri\u00e7\u00e3o, padr\u00f5es de sono e estat\u00edsticas de exerc\u00edcios, frequ\u00eancia card\u00edaca, ritmo, dist\u00e2ncia e queima de calorias.<\/p>\n<p>O app da Under Armour \u00e9 um recurso valioso e customizado que pode ser usado com apenas alguns toques \u2013 um personal trainer na palma da m\u00e3o. Quanto mais voc\u00ea usa, mais ele conhece voc\u00ea. Assim, a marca poder\u00e1 oferecer recomenda\u00e7\u00f5es cada vez mais personalizadas para as suas metas espec\u00edficas.<\/p>\n<h3><strong>2. Mazda<\/strong><\/h3>\n<p>A Mazda utilizou o Machine Learning para encontrar os influenciadores certos para\u00a0<a href=\"https:\/\/insidemazda.mazdausa.com\/sxsw\/\">promover seu novo carro, o CX-5, no festival SXSW<\/a>, em Austin, no Texas.<\/p>\n<p>A marca japonesa trabalhou com a Influential, uma empresa que utiliza a tecnologia Watson AI da IBM para identificar pessoas extrovertidas nas redes sociais \u2013 um p\u00fablico perfeito para se conectar aos f\u00e3s do festival.<\/p>\n<figure id=\"attachment_10592\" aria-describedby=\"caption-attachment-10592\" style=\"width: 1200px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-8814 size-full\" src=\"http:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/mazda-and-ML-at-SXSW-e1517515100938.png\" alt=\"\" width=\"1200\" height=\"662\" srcset=\"https:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/mazda-and-ML-at-SXSW-e1517515100938.png 1200w, https:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/mazda-and-ML-at-SXSW-e1517515100938-300x166.png 300w, https:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/mazda-and-ML-at-SXSW-e1517515100938-768x424.png 768w, https:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/mazda-and-ML-at-SXSW-e1517515100938-1024x565.png 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><figcaption id=\"caption-attachment-10592\" class=\"wp-caption-text\">Foto por Mazda.<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p>A tecnologia de Machine Learning\u00a0examinou posts nas redes sociais, procurando as pessoas certas, com os indicadores certos \u2013 como pontos de exclama\u00e7\u00e3o e emojis.<\/p>\n<p>Para o SXSW, quatro pessoas foram selecionadas para rodar em Austin dentro do CX-5 e depois se divertir em um Mazda Studio. No final, era s\u00f3 postar sobre a experi\u00eancia no Twitter, no\u00a0<a href=\"https:\/\/www.instagram.com\/explore\/tags\/mazdasxsw\">Instagram<\/a> e no Facebook.<\/p>\n<p>Essa abordagem de marketing centrada em dados permitiu \u00e0 Mazda personalizar conte\u00fado para se engajar melhor com um grupo muito espec\u00edfico de consumidores \u2013 pessoas com um perfil mais criativo, j\u00e1 que o SXSW celebra a m\u00fasica, o cinema e a tecnologia, entre outras ideias inovadoras.<\/p>\n<h3><strong>3. The North Face<\/strong><\/h3>\n<p>A The North Face, rede de roupas esportivas, utiliza um assistente pessoal digital, o <a href=\"https:\/\/www.fluid.com\/blog\/latest-posts\/the-north-face-debuts-fluid-expert-personal-shopper-an-artificially-intelligent-digital-commerce-platform-powered-by-ibm-watson\">Fluid Expert Personal Shopper (XPS)<\/a>, para ajudar a fazer recomenda\u00e7\u00f5es para consumidores online, construir perfis com base em seus interesses e criar uma experi\u00eancia personalizada para cada usu\u00e1rio.<br \/>\nO XPS leva a reputa\u00e7\u00e3o amig\u00e1vel e descontra\u00edda da loja f\u00edsica para o mundo digital. Por meio de Machine Learning, a marca pode coletar dados simultaneamente para avisar sobre intera\u00e7\u00f5es no site e futuros produtos.<\/p>\n<figure id=\"attachment_10593\" aria-describedby=\"caption-attachment-10593\" style=\"width: 1200px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-8816 size-full\" src=\"http:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/north-face-watson-shopper-e1517515117600.png\" alt=\"\" width=\"1200\" height=\"872\" srcset=\"https:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/north-face-watson-shopper-e1517515117600.png 1200w, https:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/north-face-watson-shopper-e1517515117600-300x218.png 300w, https:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/north-face-watson-shopper-e1517515117600-768x558.png 768w, https:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/08\/north-face-watson-shopper-e1517515117600-1024x744.png 1024w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><figcaption id=\"caption-attachment-10593\" class=\"wp-caption-text\">Foto por The North Face.<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p>A North Face tamb\u00e9m oferece uma experi\u00eancia personalizada aos usu\u00e1rios do site, que podem comprar atrav\u00e9s do IBM Watson.<\/p>\n<p>Depois de baixar o <a href=\"https:\/\/venturebeat.com\/2016\/03\/04\/the-north-face-to-launch-insanely-smart-watson-powered-shopping-app-next-month\/\">aplicativo<\/a>, os consumidores podem acessar a tecnologia atrav\u00e9s de seus smartphones. Tal qual um vendedor que est\u00e1 pronto para ajudar os clientes a escolherem os produtos que desejam, esse\u00a0<a href=\"https:\/\/shift.newco.co\/how-to-use-machine-learning-to-sell-better-8f909ab425b4\">assistente virtual faz perguntas aos usu\u00e1rios<\/a>, aprende com suas respostas e oferece produtos relevantes de acordo com suas prefer\u00eancias.<\/p>\n<h3><strong>O ROI do Machine Learning<\/strong><\/h3>\n<p>A <a href=\"http:\/\/criteo.com\/blog\/machine-learning-quiz\/\">natureza preditiva do Machine Learning<\/a> \u00e9 o que torna essa ferramenta t\u00e3o poderosa para os profissionais de marketing. O ML permite \u00e0s marcas usar dados de clientes, passados e presentes, para projetar tend\u00eancias e comportamentos futuros.<\/p>\n<p>No que se refere \u00e0s vendas, os modelos de Machine Learning podem prever o momento mais relevante para oferecer produtos (por exemplo, quando o consumidor est\u00e1 mais propenso a comprar itens sazonais). Em termos operacionais, o Machine Learning pode ajudar a marca a estimar o n\u00edvel de estoque necess\u00e1rio durante os per\u00edodos de pico (Black Friday, Natal, etc), em compara\u00e7\u00e3o com o restante do ano.<\/p>\n<p>Como resultado, os modelos de Machine Learning ajudam a cortar as despesas desnecess\u00e1rias (desperd\u00edcio de investimentos em publicidade e sobra de produtos), <a href=\"https:\/\/criteo-2421.docs.contently.com\/v\/idc-research-can-machines-be-creative\">otimizando os esfor\u00e7os de marketing<\/a>\u00a0para antecipar as necessidades dos clientes. Com isso, \u00e9 poss\u00edvel aumentar a receita e as margens de lucro.<\/p>\n<p>Para saber mais sobre como o Machine Learning est\u00e1 transformando o varejo, <a href=\"http:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/03\/Machine-Learning-ebook-BR.pdf\">baixe o nosso e-book<\/a>.<\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Hoje, no competitivo cen\u00e1rio do varejo, relev\u00e2ncia em escala \u00e9 tudo. \u00c9 a\u00ed que entra o Machine Learning como fator determinante para impulsionar as vendas. A tecnologia de Machine Learning tem a capacidade de analisar enormes conjuntos de dados para descobrir insights sobre tend\u00eancias, prefer\u00eancias e at\u00e9 mesmo predi\u00e7\u00f5es sobre o momento certo para [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":8820,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[117],"coauthors":[],"class_list":{"0":"post-8811","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-trends-insights"},"acf":{"hide_featured_image":false,"has_download":true,"has_embed":false,"stae_popup_enable":false,"download_url":"http:\/\/www.criteo.com\/br\/wp-content\/uploads\/sites\/5\/2018\/03\/Machine-Learning-ebook-BR.pdf","download_button_text":"Saiba mais"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Tr\u00eas marcas que usam Machine Learning com muita intelig\u00eancia | BR - Criteo.com<\/title>\n<meta name=\"description\" content=\"A tecnologia de Machine Learning tem a capacidade de analisar enormes conjuntos de dados para descobrir insights sobre tend\u00eancias, prefer\u00eancias e at\u00e9 mesmo predi\u00e7\u00f5es sobre o momento certo para impactar cada consumidor. Confira tr\u00eas marcas que usam Machine Learning para engajar usu\u00e1rios.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.criteo.com\/br\/blog\/tres-marcas-que-usam-machine-learning-com-muita-inteligencia\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Tr\u00eas marcas que usam Machine Learning com muita intelig\u00eancia | BR - Criteo.com\" \/>\n<meta property=\"og:description\" content=\"A tecnologia de Machine Learning tem a capacidade de analisar enormes conjuntos de dados para descobrir insights sobre tend\u00eancias, prefer\u00eancias e at\u00e9 mesmo predi\u00e7\u00f5es sobre o momento certo para impactar cada consumidor. 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