{"id":8576,"date":"2024-10-30T12:17:41","date_gmt":"2024-10-30T12:17:41","guid":{"rendered":"https:\/\/new.exprivia.it\/senza-categoria\/smart-material-planning-for-master-italy-ai-in-logistics\/"},"modified":"2026-06-04T15:48:20","modified_gmt":"2026-06-04T15:48:20","slug":"smart-material-planning-for-master-italy-ai-in-logistics","status":"publish","type":"post","link":"https:\/\/www.exprivia.it\/en\/insights\/case-history\/smart-material-planning-for-master-italy-ai-in-logistics\/","title":{"rendered":"Smart Material Planning for MASTER ITALY: AI in Logistics"},"content":{"rendered":"

Needs<\/strong><\/h2>\n

The project aimed to identify algorithms to optimize the warehouse<\/strong> (managed by kanban according to the “lean” methodology), make internal logistics more efficient while simultaneously increasing customer service.<\/p>\n

The scenario imposed constraints on the mitigation of production downtime<\/strong> caused by inventories not aligned with production needs and the improvement of production scheduling<\/strong> for a more efficient management of resources.<\/p>\n

Exprivia Solution<\/h2>\n

Exprivia has adopted a multidisciplinary approach, using Artificial Intelligence<\/strong> techniques to identify anomalous orders, and has also used statistical simulations<\/strong> to optimize stock policies and kanban management.<\/p>\n

In particular, the creation of analytical models based on the study of time series<\/strong> (coinciding with the consumption of production materials), has made it possible to identify those particularly “high rotational” materials for which a logic of evolution of the classic kanban methodology has been implemented, offering a series of insights to support production planning and the stock manager.<\/p>\n

In addition, statistical simulations based on the Monte Carlo technique were used to provide What-If Analysis capable of comparing the two scenarios, i.e. inventory management with and without “jumbo orders”, which represent peaks in semi-finished product requirements that occur without warning.<\/p>\n

An integrated platform<\/strong> has been implemented to effectively manage “jumbo” orders that require a large amount of material and that require ad-hoc manufacturing processes, with a specific dashboard to monitor performance and results.<\/p>\n

Technologies used include Docker for consistent application management, a Python stack for advanced machine learning algorithms, and Grafana for real-time data visualization.<\/p>\n

Results<\/h2>\n

Thanks to the implementation of Smart Material Planning, MASTER ITALY has achieved extraordinary results:<\/p>\n

    \n
  • Minimization of production downtime<\/strong>, ensuring unprecedented operational continuity.<\/li>\n
  • Improved planning<\/strong>, with an increase in the scheduling capacity of production activities.<\/li>\n
  • Optimization of stocks<\/strong> with reduction of kanbans in supermarket warehouses.<\/li>\n<\/ul>\n

    The Smart Material Planning project demonstrated how technological innovation can transform the supply chain<\/strong>.<\/p>\n

    Exprivia has provided MASTER ITALY with the necessary tools to optimize processes, reduce costs and improve overall efficiency. With this solution, MASTER ITALY has positioned itself in a competitive context, ready to face the volatility of the modern market. <\/p>\n","protected":false},"excerpt":{"rendered":"

    Smart Material Planning Project: an innovative solution designed to optimize internal logistics costs and improve stock management<\/p>\n","protected":false},"author":2,"featured_media":8579,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[134],"tags":[141,149,138],"class_list":["post-8576","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-case-history","tag-artificial-intelligence","tag-industrial","tag-sap"],"acf":[],"yoast_head":"\nSmart Material Planning for MASTER ITALY: AI in Logistics - Exprivia<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.exprivia.it\/en\/insights\/case-history\/smart-material-planning-for-master-italy-ai-in-logistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Smart Material Planning for MASTER ITALY: AI in Logistics\" \/>\n<meta property=\"og:description\" content=\"Smart Material Planning Project: an innovative solution designed to optimize internal logistics costs and improve stock management\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.exprivia.it\/en\/insights\/case-history\/smart-material-planning-for-master-italy-ai-in-logistics\/\" \/>\n<meta property=\"og:site_name\" content=\"Exprivia\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-30T12:17:41+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-04T15:48:20+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.exprivia.it\/wp-content\/uploads\/2025\/12\/close-up-train-window-with-reflection-building-window-scaled-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1435\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Miriam Monza\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Miriam Monza\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.exprivia.it\\\/en\\\/insights\\\/case-history\\\/smart-material-planning-for-master-italy-ai-in-logistics\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.exprivia.it\\\/en\\\/insights\\\/case-history\\\/smart-material-planning-for-master-italy-ai-in-logistics\\\/\"},\"author\":{\"name\":\"Miriam Monza\",\"@id\":\"https:\\\/\\\/www.exprivia.it\\\/en\\\/#\\\/schema\\\/person\\\/543ab08cfff58e9805ddbe963d53392e\"},\"headline\":\"Smart Material Planning for MASTER ITALY: AI in Logistics\",\"datePublished\":\"2024-10-30T12:17:41+00:00\",\"dateModified\":\"2026-06-04T15:48:20+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.exprivia.it\\\/en\\\/insights\\\/case-history\\\/smart-material-planning-for-master-italy-ai-in-logistics\\\/\"},\"wordCount\":352,\"image\":{\"@id\":\"https:\\\/\\\/www.exprivia.it\\\/en\\\/insights\\\/case-history\\\/smart-material-planning-for-master-italy-ai-in-logistics\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.exprivia.it\\\/wp-content\\\/uploads\\\/2025\\\/12\\\/close-up-train-window-with-reflection-building-window-scaled-1.jpg\",\"keywords\":[\"Artificial Intelligence\",\"Industrial\",\"SAP\"],\"articleSection\":[\"Case History\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.exprivia.it\\\/en\\\/insights\\\/case-history\\\/smart-material-planning-for-master-italy-ai-in-logistics\\\/\",\"url\":\"https:\\\/\\\/www.exprivia.it\\\/en\\\/insights\\\/case-history\\\/smart-material-planning-for-master-italy-ai-in-logistics\\\/\",\"name\":\"Smart Material Planning for MASTER ITALY: AI in Logistics - 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