{"id":160570,"date":"2023-03-18T17:26:18","date_gmt":"2023-03-18T22:26:18","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/03\/with-ai-accurate-demand-forecasting-is-possible"},"modified":"2023-03-18T17:26:18","modified_gmt":"2023-03-18T22:26:18","slug":"with-ai-accurate-demand-forecasting-is-possible","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/03\/with-ai-accurate-demand-forecasting-is-possible","title":{"rendered":"With AI, accurate demand forecasting is possible"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/with-ai-accurate-demand-forecasting-is-possible.jpg\"><\/a><\/p>\n<p><em>Check out all the on-demand sessions from the Intelligent Security Summit <a href=\"https:\/\/avolio.swapcard.com\/intelligentsecuritysummit2022\/registrations\/Start?utm_source=vb&utm_medium=boiler&utm_content=ondemand&utm_campaign=IS22_BoilerPlates\">here<\/a><\/em>.<\/p>\n<p>Many businesses struggle with demand forecasting. Whether you run a small business or a large enterprise, the challenge of predicting customer behavior and stock levels never gets easier. Even major organizations like Target and Walmart that are able to afford teams of <a href=\"https:\/\/venturebeat.com\/ai\/data-science-vs-artificial-intelligence-ai-key-comparisons\/\" target=\"_blank\" rel=\"noreferrer noopener\">data scientists<\/a> have recently reported struggles with <a href=\"https:\/\/www.cnbc.com\/2022\/11\/13\/retailers-biggest-holiday-wish-is-to-get-rid-of-all-that-excess-inventory.html\" target=\"_blank\" rel=\"noreferrer noopener\">excess inventory<\/a> due to poor demand forecasting.<\/p>\n<p>During this time of global uncertainty, many businesses have adopted a just-in-case mindset. They\u2019ve relied on archaic methods of forecasting, scouring old data and drawing poor conclusions based on past problems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Check out all the on-demand sessions from the Intelligent Security Summit here. Many businesses struggle with demand forecasting. Whether you run a small business or a large enterprise, the challenge of predicting customer behavior and stock levels never gets easier. Even major organizations like Target and Walmart that are able to afford teams of data [\u2026]<\/p>\n","protected":false},"author":556,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[43,6,1492],"tags":[],"class_list":["post-160570","post","type-post","status-publish","format-standard","hentry","category-business","category-robotics-ai","category-security"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/160570","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/556"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=160570"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/160570\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=160570"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=160570"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=160570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}