{"id":7523,"date":"2016-04-18T12:00:29","date_gmt":"2016-04-18T16:00:29","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=7523"},"modified":"2016-04-18T11:51:01","modified_gmt":"2016-04-18T15:51:01","slug":"5-common-mistakes-multi-channel-retailers-make-and-how-to-avoid-them","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/5-common-mistakes-multi-channel-retailers-make-and-how-to-avoid-them\/7523\/","title":{"rendered":"5 Common Mistakes Multi-Channel Retailers Make, and How to Avoid Them"},"content":{"rendered":"Multi-channel retailers are often finding themselves stuck in a vicious cycle of failed promotions, inventory distortion, and endless markdowns which result in decreasing gross margins, and lost sales. Yet all these challenges have only a handful of drivers that when properly tweaked can unlock hidden opportunities and revenue. In this article, we will explore the five common mistakes that multi-channel retailers make and how predictive analytics technology helps you avoid them. Promotions, Price Optimization, and Inventory Management It has become all too common for many retailers to lose money on promotions. Why are some of the most carefully <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/5-common-mistakes-multi-channel-retailers-make-and-how-to-avoid-them\/7523\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Multi-channel retailers are often finding themselves stuck in a vicious cycle of failed promotions, inventory distortion, and endless markdowns which result in decreasing gross margins, and lost sales. Yet all these challenges have only a handful of drivers that when properly tweaked can unlock hidden opportunities and revenue. In this article, we will explore the [&hellip;]<\/p>\n","protected":false},"author":625,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[660,8,41],"class_list":["post-7523","post","type-post","status-publish","format-standard","hentry","category-leading-stories","tag-omni-channel","tag-predictive-analytics","tag-retalon"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7523","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/625"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=7523"}],"version-history":[{"count":6,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7523\/revisions"}],"predecessor-version":[{"id":7530,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/7523\/revisions\/7530"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=7523"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=7523"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=7523"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}