{"id":1674717,"date":"2019-04-23T15:11:10","date_gmt":"2019-04-23T22:11:10","guid":{"rendered":"https:\/\/www.retailpro.com\/News\/blog\/?p=1674717"},"modified":"2019-04-23T15:11:10","modified_gmt":"2019-04-23T22:11:10","slug":"the-first-step-to-recognizing-customers-with-ai","status":"publish","type":"post","link":"https:\/\/www.retailpro.com\/News\/blog\/index.php\/2019\/04\/23\/the-first-step-to-recognizing-customers-with-ai\/","title":{"rendered":"The first step to recognizing customers with AI"},"content":{"rendered":"<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1674719\" src=\"https:\/\/www.retailpro.com\/News\/blog\/wp-content\/uploads\/2019\/04\/640-AI.jpg\" alt=\"\" width=\"640\" height=\"440\" srcset=\"https:\/\/www.retailpro.com\/News\/blog\/wp-content\/uploads\/2019\/04\/640-AI.jpg 640w, https:\/\/www.retailpro.com\/News\/blog\/wp-content\/uploads\/2019\/04\/640-AI-300x206.jpg 300w, https:\/\/www.retailpro.com\/News\/blog\/wp-content\/uploads\/2019\/04\/640-AI-436x300.jpg 436w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/p>\n<p>&nbsp;<\/p>\n<p>Retailers are increasingly looking to AI to unlock insights that will help you better reach customers.<\/p>\n<p>AI learns from your data to help you recognize customers and anticipate needs \u2013 but the conclusions AI will generate are only as accurate as the data that feeds it.<\/p>\n<p>Business author Luis Perez-Breva comments in his article, <a href=\"https:\/\/qz.com\/1221180\/why-retails-artificial-intelligence-bet-is-all-wrong\/\">Why retail\u2019s artificial intelligence bet is all wrong<\/a>, \u201cMachine learning needs vast amounts of data that needs to be formatted and cleaned for use. Computers aren\u2019t good at automatically cleaning data; humans are.\u201d<\/p>\n<p>With Retail Pro, you already have a solid foundation of structured data.<\/p>\n<p>And, since Retail Pro is a platform software, it acts as the foundation to which you can connect all your other retail technologies, including ERP, WHM, dropship, ecommerce, CRM, email &amp; SMS marketing, loyalty &amp; rewards, and any other technology you use.<\/p>\n<p>When connecting these data sources, your IT team already does the heavy lifting needed to clean and structure your data \u2013 so why not make the most of it?<\/p>\n<p>With all your data connected on the Retail Pro platform, you can recognize shoppers and see their activity across channels.<\/p>\n<p>By recognizing your customers and knowing their past purchases and preferences, you can better anticipate their expectations and make your outreach more relevant to their needs.<\/p>\n<p><a href=\"https:\/\/www.retailpro.com\/include\/eng\/RequestADemo\/\">Request a demo<\/a> or talk to your Retail Pro Business Partner today to see how you can unify data in Retail Pro for a more holistic picture of your business that helps you anticipate your customers\u2019 needs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; &nbsp; Retailers are increasingly looking to AI to unlock insights that will help you better reach customers. AI learns from your data to help you recognize customers and anticipate needs \u2013 but the conclusions AI will generate are only &hellip; <a href=\"https:\/\/www.retailpro.com\/News\/blog\/index.php\/2019\/04\/23\/the-first-step-to-recognizing-customers-with-ai\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":13,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[186,44],"tags":[175,15],"class_list":["post-1674717","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence-ai","category-specialty-retail-management-and-operations","tag-ai","tag-business-intelligence"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"AI learns from your data to help you recognize customers and anticipate needs \u2013 but insights are only 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