{"id":22532,"date":"2026-07-16T13:30:41","date_gmt":"2026-07-16T11:30:41","guid":{"rendered":"https:\/\/www.neuraldesigner.com\/use-cases\/sales-forecasting\/"},"modified":"2026-08-26T13:48:28","modified_gmt":"2026-08-26T11:48:28","slug":"sales-forecasting","status":"publish","type":"page","link":"https:\/\/www.neuraldesigner.com\/use-cases\/sales-forecasting\/","title":{"rendered":"Sales forecasting using machine learning"},"content":{"rendered":"<style>.ndb{width:100vw;margin-left:calc(50% - 50vw);background:#eeeeee;padding:22px 24px 14px;font-family:\"Outfit\",\"Roboto\",Arial,sans-serif;color:#1b2635}.ndb *{box-sizing:border-box}.ndb a{text-decoration:none}.ndb-wrap{width:min(100%,960px);margin:0 auto}.ndb-lead{font-size:18px;line-height:1.6;color:#3a4a5a;font-weight:300;margin:0 0 22px}.ndb-lead a{color:#2d799f;font-weight:600}.ndb-highlight{margin:0 0 36px;padding:28px 34px;border-radius:18px;background:linear-gradient(135deg,#56a1c8 0%,#245e80 100%);color:#fff;box-shadow:0 16px 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p:has(>.nd-usecase-icon-source),.ndb-card .nd-usecase-icon-source{max-width:none!important}.ndb-card table:has(td h3){background:transparent!important;box-shadow:none!important;border:0!important;width:100%!important;table-layout:fixed!important;margin:14px 0!important}.ndb-card table:has(td h3) td{background:transparent!important;border:0!important;text-align:center!important;vertical-align:top!important;padding:16px 14px!important}.ndb-card table:has(td h3) td p{margin:0 0 12px!important;text-align:center!important;max-width:none!important}.ndb-card table:has(td h3) td p img{display:inline-block!important;width:52px!important;height:52px!important;max-width:52px!important;object-fit:contain!important;margin:0 auto!important;box-shadow:none!important;border-radius:0!important}.ndb-card table:has(td h3) td h3{color:#001233!important;font-size:16px!important;font-weight:600!important;margin:0!important;text-align:center!important;letter-spacing:.03em}body.page-child.parent-pageid-22498 main.site-main .ndb-wrap .ndb-card table td p img{width:52px!important;height:52px!important;max-width:52px!important;min-width:0!important;object-fit:contain!important;margin:0 auto!important;display:inline-block!important}main#content .ndb-card .nd-usecase-title-icon,main#content .ndb-card h3.nd-usecase-icon-title img{display:none!important}main#content .ndb-card h3.nd-usecase-icon-title{display:block!important}.ndb-card .ndb-subhead{color:#001233!important;font-size:19px!important;font-weight:600!important;margin:26px 0 8px!important;text-align:center!important}.ndb-card table:has(td h3) td p:not(:has(img)){font-size:14px!important;line-height:1.5!important;color:#51606f!important;margin:8px auto 0!important;text-align:center!important;max-width:none!important}<\/style><div class=\"ndb\"><div class=\"ndb-wrap\"><div class=\"ndb-lead\"><p>Examination of prior history, seasonality, market-moving events, etc., results in a realistic revenue prediction,<br \/>\nwhich is the cornerstone of a company&#8217;s planning.<\/p>\n<p>Machine learning allows you to anticipate customer responses to external and internal factors that affect sales.<\/p>\n<p><a href=\"https:\/\/www.neuraldesigner.com\/\">Neural Designer<\/a> is a data science and machine learning platform that lets you quickly build sales forecasting models.<\/p>\n<h3>Contents<\/h3>\n<ol>\n<li><a href=\"#Objectives\">Objectives<\/a>.<\/li>\n<li><a href=\"#Benefits\">Benefits<\/a>.<\/li>\n<li><a href=\"#Approach\">Approach<\/a>.<\/li>\n<li><a href=\"#Conclusions\">Conclusions<\/a>.<\/li>\n<\/ol>\n<\/div><ul class=\"ndb-toc\"><li><a href=\"#objectives\">Objectives<\/a><\/li><li><a href=\"#benefits\">Benefits<\/a><\/li><li><a href=\"#approach\">Approach<\/a><\/li><li><a href=\"#conclusions\">Conclusions<\/a><\/li><\/ul><div class=\"ndb-card\" id=\"objectives\"><h2>Objectives<\/h2><p>Sales forecasting aims to estimate the future demand for products or services in a company.<\/p>\n<p>Companies can base their forecasts on internal and external data.<\/p>\n<p><img decoding=\"async\" style=\"width: 485px; max-width: 100%;\" src=\"https:\/\/www.neuraldesigner.com\/images\/activity-diagram-sales-forecasting.svg\" height=\"254\" \/><\/p>\n<p>Some standard variables used in sales forecasting are the following:<\/p>\n<ul>\n<li><b>Internal data:<\/b>\n<ul>\n<li>Past sales data.<\/li>\n<li>Marketing actions.<\/li>\n<li>Website visits.<\/li>\n<li>Etc.<\/li>\n<\/ul>\n<\/li>\n<li><b>External data:<\/b>\n<ul>\n<li>Seasonal trends.<\/li>\n<li>Market moving events.<\/li>\n<li>Economic trends.<\/li>\n<li>Etc.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>Depending on the forecast window, we can talk about short-term forecasting (hours, days) or long-term forecasting (weeks, months). Of course, the factors affecting short-term sales are different from those involving long-term sales.<\/p>\n<\/div><div class=\"ndb-card\" id=\"benefits\"><h2>Benefits<\/h2><p>Sales forecasting can be helpful to companies in many different ways.<\/p><table><tbody><tr><td style=\"text-align:center;border:none;\"><p><img decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/icon-performance.svg\" width=\"64\" height=\"64\" \/><\/p><h3>PLAN BUDGETING<\/h3><p>The core purpose of revenue forecasting is to plan your future expenses better.<\/p><\/td><td style=\"text-align:center;border:none;\"><p><img decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/icon-group.svg\" width=\"64\" height=\"64\" \/><\/p><h3>ALLOCATE RESOURCES<\/h3><p>Knowing the number of future clients or sales allows for better employee management.<\/p><\/td><\/tr><\/tbody><\/table><\/div><div class=\"ndb-card\" id=\"approach\"><h2>Approach<\/h2><p><a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network\/\">Neural networks<\/a>\u00a0are the most essential techniques for machine learning and artificial intelligence. The following flow chart shows how to build and use a neural network for sales forecasting.<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/number_1.svg\" width=\"27\" height=\"27\" \/><\/p>\n<p>The first step is to create a <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/data-set\/\">data set<\/a> by collecting all the internal and external information related to the company&#8217;s sales.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/number_2.svg\" width=\"26\" height=\"26\" \/><\/p>\n<p>Then, we need to build a <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/neural-network\/\">neural network<\/a> to forecast future sales.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/number_3.svg\" width=\"26\" height=\"26\" \/><\/p>\n<p>A <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/training-strategy\/\">training strategy<\/a> is applied to the neural network to discover the underlying relationships in the sales data.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/number_4.svg\" width=\"27\" height=\"27\" \/><\/p>\n<p>To improve the model&#8217;s predictive capabilities, we can also apply <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/model-selection\/\">model selection<\/a> by trying combinations of variables and choosing those with more impact on sales.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/number_5.svg\" width=\"26\" height=\"26\" \/><\/p>\n<p>Then, the resulting model undergoes an exhaustive <a href=\"https:\/\/www.neuraldesigner.com\/learning\/tutorials\/testing-analysis\/\">testing analysis<\/a>.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.neuraldesigner.com\/images\/number_6.svg\" width=\"27\" height=\"27\" \/><\/p>\n<p>Finally, the neural network is used to predict the company&#8217;s future sales after model deployment.<\/p>\n<p>The data science and machine learning platform <a href=\"https:\/\/www.neuraldesigner.com\/downloads\/\">Neural Designer<\/a> guides you through this process so you can focus on your business and not the details behind machine learning.<\/p>\n<\/div><div class=\"ndb-card ndb-card--accent\" id=\"conclusions\"><h2>Conclusions<\/h2><p>Predictive modeling helps you estimate the number of products the store will sell to prepare the inventory and manage the cash flow.<\/p>\n<p>It detects the factors that most influence sales and provides information vital to making essential decisions in your company&#8217;s growth.<\/p>\n<h3>Related posts<\/h3>\n<\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Examination of prior history, seasonality, market-moving events, etc., results in a realistic revenue prediction, which is the cornerstone of a company&#8217;s planning. Machine learning allows you to anticipate customer responses to external and internal factors that affect sales. 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