{"id":17882,"date":"2020-03-13T22:00:23","date_gmt":"2020-03-13T16:30:23","guid":{"rendered":"https:\/\/www.the-next-tech.com\/?p=17882"},"modified":"2020-03-16T19:30:25","modified_gmt":"2020-03-16T14:00:25","slug":"how-supply-chain-understand-the-accuracy-of-demand-forecasting-process","status":"publish","type":"post","link":"https:\/\/www.the-next-tech.com\/supply-chain-management\/how-supply-chain-understand-the-accuracy-of-demand-forecasting-process\/","title":{"rendered":"How Supply Chain understand the Accuracy of Demand Forecasting Process"},"content":{"rendered":"<h2>Get Exclusive Insights on Demand Forecasting<\/h2>\n<p>We conducted research to assess how supply chain teams perceive the accuracy of their forecasts and discover the tools and techniques they are using to upgrade the forecasting process.<\/p>\n<p><i>Our research results are presented in this report.<\/i><\/p>\n<p>Here, you&#8217;ll find helpful benchmarks and insights offered by peers on the latest <a href=\"https:\/\/en.wikipedia.org\/wiki\/Demand_forecasting\" target=\"_blank\" rel=\"noopener\">demand forecasting<\/a> techniques, forecast specifics and periodicity, and expectations for the future.<\/p>\n<p>The survey was completed by 301 professionals working in supply chain, finance, sales and commercial \/ business roles.<\/p>\n<p>Respondents work in many areas, including North America, Europe, Latin America, and Asia Pacific.<\/p>\n<p>Various industries are represented from chemicals to consumer electronics, food and beverage and manufacturing sectors.<\/p>\n<p><strong>Perceptions on forecast accuracy<\/strong><\/p>\n<p>Find out how supply chain professionals rate the accuracy of their forecast and the benefits they expect to gain from improved forecast accuracy.<\/p>\n<p><strong>Most common techniques and technologies<\/strong><\/p>\n<p>Find out which methodologies and tools are in use and on the rise.<\/p>\n<p><strong>A New Day For Demand Forecasting?<\/strong><\/p>\n<p>Like many of the respondents in our survey, we too choose to be optimistic about the future, and we heard their needs loud and clear. This is why we have added demand forecasting capability to the SC Navigator suite of supply chain planning applications.<br \/>\n<!-- Home page 728x90 --><br \/>\n<ins class=\"adsbygoogle\" style=\"display: inline-block; width: 728px; height: 90px;\" data-ad-client=\"ca-pub-9864771813712812\" data-ad-slot=\"3152971286\"><\/ins><br \/>\n<script>\n(adsbygoogle = window.adsbygoogle || []).push({});\n<\/script><\/p>\n<h2>Demand Forecasting<\/h2>\n<p>How supply chain teams realize the accuracy of their forecasts and discover the tools and techniques they are using to upgrade the forecasting process.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-17883 aligncenter\" src=\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170643\/Forecast-accuracy.jpg\" alt=\"Forecast accuracy\" width=\"720\" height=\"245\" srcset=\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170643\/Forecast-accuracy.jpg 720w, https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170643\/Forecast-accuracy-300x102.jpg 300w, https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170643\/Forecast-accuracy-20x8.jpg 20w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><\/p>\n<h2>Perceptions on Forecast Accuracy<\/h2>\n<p>Demand forecasting is perceived as an important part of the business planning process.<\/p>\n<p>But, only 2% of respondents reported being \u201cextremely satisfied\u201d with the accuracy of their forecasts.<\/p>\n<p>The typical range of absolute forecast error at an item level is reportedly 20-40% according to 42% of respondents.<br \/>\n<span class=\"seethis_lik\"><span>Also read:<\/span> <a href=\"https:\/\/www.the-next-tech.com\/top-10\/the-15-best-e-commerce-marketing-tools\/\">The 15 Best E-Commerce Marketing Tools<\/a><\/span>\n<h2>Technologies and Techniques in Use<\/h2>\n<p>Technology may performance the main role in organizations\u2019 perceptions of forecast accuracy.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-17886 aligncenter\" src=\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170640\/Demand-forecast-process.jpg\" alt=\"Demand forecast process\" width=\"720\" height=\"256\" srcset=\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170640\/Demand-forecast-process.jpg 720w, https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170640\/Demand-forecast-process-300x107.jpg 300w, https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170640\/Demand-forecast-process-20x8.jpg 20w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><\/p>\n<p>Only 2% of respondents said they were &#8220;extremely satisfied&#8221; with the tools used for demand forecasting.<\/p>\n<p>Neutrality seems to be the norm, with 49% of respondents rating their satisfaction with their current technology between 5 and 7. Roughly 27% are not satisfied.<\/p>\n<p>39% of respondents said that they use spreadsheets for demand forecasting.<\/p>\n<p>About 45% of those using spreadsheets are dissatisfied, showing that this toolset is not robust enough.<\/p>\n<p>30% of respondents stated that they use an expert forecasting package, and 61% of them reported being satisfied.<\/p>\n<p>About a quarter of respondents (23%) use bundled ERP functionality, and the majority feel indifferent about this toolset.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-17887 aligncenter\" src=\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170636\/Improving-forecast-accuracy.jpg\" alt=\"Improving forecast accuracy\" width=\"720\" height=\"236\" srcset=\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170636\/Improving-forecast-accuracy.jpg 720w, https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170636\/Improving-forecast-accuracy-300x98.jpg 300w, https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170636\/Improving-forecast-accuracy-20x8.jpg 20w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><\/p>\n<p>Research shows that organizations are looking at several techniques to improve demand forecasting.<\/p>\n<p>56% of professionals are looking into statistical modeling of historical demand in their organizations, and 41% are looking into machine learning.<\/p>\n<p>Another 41% is currently investigating demand sensing.<\/p>\n<p>Other techniques that are being investigated include the &#8216;best fit&#8217; functionality and segmentation. 60% of respondents also indicated that they were &#8220;extremely curious&#8221; about new techniques such as DDMRP for expulsion from the effects of forecast accuracy.<\/p>\n<p><img loading=\"lazy\" class=\"alignnone size-full wp-image-17889 aligncenter\" src=\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170628\/Currently-investigating.jpg\" alt=\"Currently investigating\" width=\"720\" height=\"232\" srcset=\"https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170628\/Currently-investigating.jpg 720w, https:\/\/s3.amazonaws.com\/static.the-next-tech.com\/wp-content\/uploads\/2020\/03\/19170628\/Currently-investigating-300x97.jpg 300w\" sizes=\"(max-width: 720px) 100vw, 720px\" \/><\/p>\n<p>We have focused in this paper on particular performance measurement, i.e. forecast accuracy, and its relevance for improving the quality of firms&#8217; planning processes. Of course, firms use many different performance metrics and forecasting accuracy is clearly just one of them. It is not our interest in this paper to only study forecast accuracy to expand this list. Instead, our study is driven by a long-standing concern with the quality of firms, which has gained momentum recently as researchers became interested in the use of firms&#8217; rolling forecasts and application beyond budget considerations is.<\/p>\n<div class=\"whit-blockquote\">With ongoing challenges, like coping with seasonality, and geopolitical shifts on the horizon, it\u2019s not surprising to see that organizations are looking into new techniques and technologies for demand forecasting,<br \/>\n<strong>AIMMS SC Navigator Director, Brian Dooley.<\/strong><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Get Exclusive Insights on Demand Forecasting We conducted research to assess how supply chain teams perceive the accuracy of their<\/p>\n","protected":false},"author":146,"featured_media":17897,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[131],"tags":[1471,594],"_links":{"self":[{"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/posts\/17882"}],"collection":[{"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/users\/146"}],"replies":[{"embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/comments?post=17882"}],"version-history":[{"count":8,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/posts\/17882\/revisions"}],"predecessor-version":[{"id":18099,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/posts\/17882\/revisions\/18099"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/media\/17897"}],"wp:attachment":[{"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/media?parent=17882"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/categories?post=17882"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.the-next-tech.com\/rest\/wp\/v2\/tags?post=17882"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}