{"id":10724,"date":"2025-06-23T19:31:48","date_gmt":"2025-06-23T19:31:48","guid":{"rendered":"https:\/\/g7techservices.com\/site\/?p=10724"},"modified":"2026-05-26T19:58:57","modified_gmt":"2026-05-26T19:58:57","slug":"nestle-demand-planning-and-production-optimization-case-study","status":"publish","type":"post","link":"https:\/\/g7techservices.com\/site\/nestle-demand-planning-and-production-optimization-case-study\/","title":{"rendered":"Nestl\u00e9: Demand Planning and Production Optimization"},"content":{"rendered":"\n<p>For over 100 years, Nestl\u00e9 has been dedicated to <strong>food production<\/strong>. It has more than a dozen product families, including global icon brands and local favorites, with more than <strong>1350 different SKUs<\/strong>. Among the product families that Nestl\u00e9 Brazil produces and sells there are: beverages, coffees, dairy products, cereals, chocolates, nutrition, baby food and even pet food.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img fetchpriority=\"high\" decoding=\"async\" width=\"960\" height=\"156\" src=\"https:\/\/g7techservices.com\/site\/wp-content\/uploads\/2025\/06\/nestle_metrics_g7_tech_services.jpg\" alt=\"Nestl\u00e9: Metrics | G7 Tech Services\" class=\"wp-image-10820\" style=\"object-fit:cover\" srcset=\"https:\/\/g7techservices.com\/site\/wp-content\/uploads\/2025\/06\/nestle_metrics_g7_tech_services.jpg 960w, https:\/\/g7techservices.com\/site\/wp-content\/uploads\/2025\/06\/nestle_metrics_g7_tech_services-300x49.jpg 300w, https:\/\/g7techservices.com\/site\/wp-content\/uploads\/2025\/06\/nestle_metrics_g7_tech_services-768x125.jpg 768w\" sizes=\"(max-width: 960px) 100vw, 960px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">The project challenge<\/h2>\n\n\n\n<p>Until now, no tool had the flexibility and speed that Nestl\u00e9 required to plan the Demand and Production processes in an integral way and within the same environment.&nbsp;<\/p>\n\n\n\n<p>Production planning is essential for optimizing the overall process, considering the products, resources and processes involved, as well as the expected demand for each product line.&nbsp;<\/p>\n\n\n\n<p>Nestl\u00e9 sought to find a tool that automates and optimizes the <strong>Demand<\/strong> and <strong>Production Planning processes<\/strong>, in a way that would allow users to have full visibility of both the hierarchy of its large product portfolio (by segment, family, brand, SKU, among others) and the logistics point, factories and production lines.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Demand Planning and Production Optimization Solution Design<\/h2>\n\n\n\n<p>The proposed <a href=\"https:\/\/pyplan.com\/\" rel=\"nofollow\" title=\"solution system\">solution system<\/a> integrated the existing <strong>Distribution Module<\/strong>, with the <strong>Demand Planning<\/strong> and <strong>Production Optimization<\/strong> Modules.\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Demand Planning Module<\/h2>\n\n\n\n<p>The aim was to develop a single planning model, based on existing models and best practices. This module included forecast adjustments to the Baseline, BIAS analysis, trend and evolution analysis, trade marketing alignment, risk analysis and volume division by SKU.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Production Optimization Module<\/h2>\n\n\n\n<p>With the implementation of this module, the major challenge was to develop the Master Production Schedule, which established the Mixing, Volume and Production Deadlines considering sales, operations and stock planning.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Benefits achieved by Nestl\u00e9 Brazil\u00a0<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Optimizing production<\/strong> by identifying possible bottlenecks in the process in advance.<\/li>\n\n\n\n<li><strong>Matching production<\/strong> <strong>to demand<\/strong>, optimizing stock levels, avoiding shortages or lost sales.<\/li>\n\n\n\n<li><strong>Anticipating resource needs:<\/strong> Inputs, labor or investments in production line capacity.<\/li>\n\n\n\n<li><strong>Automation of different processes<\/strong> saving up to 75% of the invested time in carrying out operational tasks.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Read how a solution for Demand Planning and Production Optimization was implemented, by G7, for a company dedicated to food production for over 100 years.<\/p>\n","protected":false},"author":5,"featured_media":10819,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[62],"tags":[],"class_list":["post-10724","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-studies"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - aioseo.com -->\n\t<meta name=\"description\" content=\"Read 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