{"id":2106,"date":"2026-03-25T15:24:16","date_gmt":"2026-03-25T18:24:16","guid":{"rendered":"https:\/\/paipe.com\/?p=2106"},"modified":"2026-05-10T22:09:39","modified_gmt":"2026-05-11T01:09:39","slug":"sales-forecasting-how-companies-are-using-data-to-predict-results-more-accurately","status":"publish","type":"post","link":"https:\/\/paipe.com\/en\/blog\/previsao-de-vendas-como-empresas-estao-usando-dados-para-prever-resultados-com-mais-precisao\/","title":{"rendered":"Sales forecasting: how companies are using data to predict results more accurately."},"content":{"rendered":"<blockquote>\n<div dir=\"ltr\">\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>Sales forecasting: how companies are using data to predict results more accurately.<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">For any company, predicting business results is an essential task. Financial planning, team hiring, goal setting, and investments depend directly on it.\u00a0<b>reliable revenue estimates<\/b>.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Despite this, many organizations still face great difficulty in accurately forecasting sales.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Isolated spreadsheets, superficial analyses, and projections based solely on perception end up generating unreliable forecasts.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">In recent years, however, companies have been adopting a more structured approach:\u00a0<b>data-driven sales forecasting<\/b>.<\/div>\n<\/div>\n<div class=\"elementToProof\"><\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>What is sales forecasting?<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Sales forecast, or <a href=\"https:\/\/paipe.com\/en\/platform\/sales-forecast\/\"><b>Sales Forecast<\/b><\/a>, Forecasting is the process of estimating how much a company is expected to sell in a given period.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">This estimate may take into account several factors, such as:<\/div>\n<\/div>\n<ul>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">sales history<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">market behavior<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">sales funnel performance<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">economic trends<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">performance indicators<\/div>\n<\/li>\n<\/ul>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">When well-structured, sales forecasting allows companies to have\u00a0<b>greater revenue predictability<\/b>.<\/div>\n<\/div>\n<div class=\"elementToProof\"><\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>Why do many companies get sales forecasting wrong?<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Even though it&#039;s a common practice, many business forecasts have a large margin of error.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">This usually happens for a few main reasons.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>Lack of structured data<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Many companies possess data, but they don&#039;t organize it in a way that allows for strategic analysis.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>Excessive reliance on perception<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Managers often end up projecting results based on the experience or expectations of the sales team.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>Lack of continuous analysis<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Forecasts are often made only once a month or quarter, without being updated as new data emerges.<\/div>\n<\/div>\n<div class=\"elementToProof\"><\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>The role of data in sales forecasting.<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Companies that use data in a structured way can significantly improve the quality of their forecasts.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Among the main benefits are:<\/div>\n<\/div>\n<ul>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">greater revenue predictability<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">early risk identification<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">better goal planning<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">safer business decisions<\/div>\n<\/li>\n<\/ul>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Technology plays an important role in this process, helping to transform business data into...\u00a0<b>strategic insights for decision making<\/b>.<\/div>\n<\/div>\n<div class=\"elementToProof\"><\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>Technology-driven sales forecasting<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">With analytical tools and automation, companies can:<\/div>\n<\/div>\n<ul>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">Analyze sales history in greater depth.<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">Identify patterns in customer behavior.<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">Update forecasts as new data emerges.<\/div>\n<\/li>\n<li>\n<div class=\"elementToProof\" role=\"presentation\">reduce errors in business projections<\/div>\n<\/li>\n<\/ul>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Technological solutions such as those developed by <a href=\"https:\/\/paipe.com\/en\/our-cases\/\"><strong>Dad<\/strong> <\/a>They help companies transform business data into more consistent and reliable forecasts.<\/div>\n<\/div>\n<div class=\"elementToProof\"><\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\"><b>Conclusion<\/b><\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Forecasting sales has always been a challenge for companies.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">The difference today is that data and technology allow us to transform this process into something much more structured and reliable.<\/div>\n<\/div>\n<div class=\"elementToProof\">\n<div class=\"elementToProof\">Companies that adopt a data-driven approach to business forecasting are able to improve the quality of their decisions and increase the predictability of their results.<\/div>\n<\/div>\n<\/div>\n<\/blockquote>\n<div><a href=\"https:\/\/paipe.com\/en\/platform\/sales-forecast\/\" class=\"button trp-no-language\" target=\"_self\">Predict sales with up to 95% accuracy.<\/a><\/div>","protected":false},"excerpt":{"rendered":"<p>Previs\u00e3o de vendas: como empresas est\u00e3o usando dados para prever resultados com mais precis\u00e3o Para qualquer empresa, prever resultados comerciais \u00e9 uma tarefa essencial. Planejamento financeiro, contrata\u00e7\u00e3o de equipes, defini\u00e7\u00e3o de metas e investimentos dependem diretamente de\u00a0estimativas de receita confi\u00e1veis. Apesar disso, muitas organiza\u00e7\u00f5es ainda enfrentam grande dificuldade para prever vendas com precis\u00e3o. Planilhas isoladas, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2107,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"sales forecast","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"Por que empresas erram na previs\u00e3o de vendas e como adotar uma abordagem orientada por dados para projetar receita com mais precis\u00e3o e menos achismo.","_yoast_wpseo_is_cornerstone":"","_yoast_wpseo_meta-robots-noindex":"","_yoast_wpseo_meta-robots-nofollow":"","_yoast_wpseo_meta-robots-adv":"","_yoast_wpseo_bctitle":"","_yoast_wpseo_canonical":"","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","_yoast_wpseo_opengraph-image":"","_yoast_wpseo_opengraph-image-id":"","_yoast_wpseo_twitter-title":"","_yoast_wpseo_twitter-description":"","_yoast_wpseo_twitter-image":"","_yoast_wpseo_twitter-image-id":"","_yoast_wpseo_schema_page_type":"","_yoast_wpseo_schema_article_type":"","inline_featured_image":false,"footnotes":""},"categories":[3,30],"tags":[],"class_list":["post-2106","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-inteligencia-artificial","category-paipe"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Previs\u00e3o de vendas: como empresas est\u00e3o 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