{"id":1112937,"date":"2025-01-16T09:27:54","date_gmt":"2025-01-16T17:27:54","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=1112937"},"modified":"2026-01-14T17:22:36","modified_gmt":"2026-01-15T01:22:36","slug":"optiguide-genai-for-supply-chain-optimization","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/optiguide-genai-for-supply-chain-optimization\/","title":{"rendered":"OptiGuide: GenAI for Supply Chain Optimization"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background-gable-green card-background--full-bleed\">\n\t\t\t\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 \">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading\" id=\"optiguide\">OptiGuide<\/h1>\n\n\n\n<p>Decision intelligence with GenAI<\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<p>OptiGuide\u2019s goal is to democratize decision making by bringing together optimization and generative AI tools. OptiGuide has already been used in production to answer \u201cwhat if\u201d questions of cloud supply chain planners and provide them with actionable recommendations. Some of our longer-term research efforts include using large language models (LLMs) for interactive algorithm design, and make algorithmic decisions more intuitive to end-users. <\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"436\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/OptiGuide-supply-chain-diagram.jpg\" alt=\"OptiGuide supply chain diagram\" class=\"wp-image-1114428\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/OptiGuide-supply-chain-diagram.jpg 800w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/OptiGuide-supply-chain-diagram-300x164.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/OptiGuide-supply-chain-diagram-768x419.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2024\/12\/OptiGuide-supply-chain-diagram-240x131.jpg 240w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><figcaption class=\"wp-element-caption\">Diagram explaining the OptiGuide process<\/figcaption><\/figure>\n\n\n\n<div style=\"height:30px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n\n\n<p><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Decision intelligence with GenAI OptiGuide\u2019s goal is to democratize decision making by bringing together optimization and generative AI tools. OptiGuide has already been used in production to answer \u201cwhat if\u201d questions of cloud supply chain planners and provide them with actionable recommendations. Some of our longer-term research efforts include using large language models (LLMs) for [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13561,13556,13563],"msr-locale":[268875],"msr-impact-theme":[261670],"msr-pillar":[],"class_list":["post-1112937","msr-project","type-msr-project","status-publish","hentry","msr-research-area-algorithms","msr-research-area-artificial-intelligence","msr-research-area-data-platform-analytics","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[956502,1114380,1114395,1114401,1151239,1151241],"related-downloads":[],"related-videos":[1131762,1131777],"related-groups":[437022,569136],"related-events":[],"related-opportunities":[],"related-posts":[1159707],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Ishai Menache","user_id":32116,"people_section":"Related people","alias":"ishai"},{"type":"user_nicename","display_name":"Konstantina Mellou","user_id":38874,"people_section":"Related people","alias":"kmellou"},{"type":"user_nicename","display_name":"Luke Marshall","user_id":37386,"people_section":"Related people","alias":"lumarsha"},{"type":"user_nicename","display_name":"Marco Molinaro","user_id":42204,"people_section":"Related people","alias":"mmolinaro"},{"type":"user_nicename","display_name":"Janardhan (Jana) Kulkarni","user_id":32147,"people_section":"Related people","alias":"jakul"},{"type":"user_nicename","display_name":"Hugo Barbalho","user_id":40744,"people_section":"Related people","alias":"hugobarbalho"},{"type":"guest","display_name":"Sirui Li","user_id":1160265,"people_section":"Related people","alias":""},{"type":"user_nicename","display_name":"Patricia Kovaleski","user_id":40681,"people_section":"Related people","alias":"pkovaleski"},{"type":"guest","display_name":"Tamires Santos","user_id":847402,"people_section":"Related people","alias":""}],"msr_research_lab":[199565],"msr_impact_theme":["Resilience"],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1112937","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":8,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1112937\/revisions"}],"predecessor-version":[{"id":1131756,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/1112937\/revisions\/1131756"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1112937"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1112937"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1112937"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1112937"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=1112937"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}