{"id":5519,"date":"2024-02-27T15:16:01","date_gmt":"2024-02-27T15:16:01","guid":{"rendered":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/?page_id=5519"},"modified":"2024-02-28T15:19:14","modified_gmt":"2024-02-28T15:19:14","slug":"puneet-gupta","status":"publish","type":"page","link":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/speakers\/puneet-gupta\/","title":{"rendered":"Puneet Gupta"},"content":{"rendered":"<!--themify_builder_content-->\n<div id=\"themify_builder_content-5519\" data-postid=\"5519\" class=\"themify_builder_content themify_builder_content-5519 themify_builder tf_clear\">\n                    <div  data-lazy=\"1\" class=\"module_row themify_builder_row dropPadding-bottom tb_0l52602 tb_first tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_2 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col4-1 tb_0ygc603 first\">\n                    <!-- module image -->\n<div  class=\"module module-image tb_esex603 image-top   tf_mw\" data-lazy=\"1\">\n        <div class=\"image-wrap tf_rel tf_mw\">\n            <img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Punette_Gupta.jpg\" class=\"wp-post-image wp-image-5544\" title=\"Puneet Gupta\" alt=\"Puneet Gupta\" srcset=\"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Punette_Gupta.jpg 300w, https:\/\/meetings.informs.org\/wordpress\/analytics2024\/files\/2024\/02\/Punette_Gupta-150x150.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/>    \n        <\/div>\n    <!-- \/image-wrap -->\n    \n        <div class=\"image-content\">\n                    <h3 class=\"image-title\">\n                                    Puneet Gupta                            <\/h3>\n                    <\/div>\n    <!-- \/image-content -->\n        <\/div>\n<!-- \/module image -->        <\/div>\n                    <div  data-lazy=\"1\" class=\"module_column tb-column col4-3 tb_g2w3604 last\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_t7c7604   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h1>Puneet Gupta<\/h1>\n<h5>Manager Cisco Global Planning at Cisco Systems<\/h5>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module accordion -->\n<div  class=\"module module-accordion tb_2plz358 \" data-behavior=\"toggle\" data-lazy=\"1\">\n    \n    <ul class=\"ui module-accordion  glossy tb_default_color\">\n            <li>\n            <div class=\"accordion-title tf_rel\">\n                <a href=\"#acc-2plz358-0\" class=\"tb_title_accordion\" aria-controls=\"acc-2plz358-0-content\" aria-expanded=\"false\">\n                    <i class=\"accordion-icon\"><svg  class=\"tf_fa tf-ti-plus\" aria-hidden=\"true\"><use href=\"#tf-ti-plus\"><\/use><\/svg><\/i>                    <i class=\"accordion-active-icon tf_hide\"><svg  class=\"tf_fa tf-ti-minus\" aria-hidden=\"true\"><use href=\"#tf-ti-minus\"><\/use><\/svg><\/i>                    <span class=\"accordion-title-wrap\">Bio<\/span>                <\/a>\n            <\/div><!-- .accordion-title -->\n            <div id=\"acc-2plz358-0-content\" data-id=\"acc-2plz358-0\" aria-hidden=\"true\" class=\"accordion-content tf_hide tf_clearfix\">\n                                    <div class=\"tb_text_wrap\">\n                        <p>Puneet Gupta manages the Forecasting Data Science team at Cisco Systems in its Supply Chain. His team is driving Cisco\u2019s charge to build a world leading demand forecasting analytics practice using transparent and causal AI approaches and optimal ensembles, leveraging methodologies from the fields of quantitative finance, econometrics, and supply chain to substantially augment Cisco&#8217;s Global Planning function. Puneet has a Masters degree in Electrical Engineering, and experience developing Semiconductor test technology at Intel Corporation, developing and managing investment portfolios based on a quantitative macro-based intermediate term market forecasting methodology through an RIA he co-founded, and in leveraging AI to model and negotiate product and portfolio costs for Electronics Manufacturing and for decision support and optimization of Supply Chain Networks at Cisco Systems. He is also midway into a Masters degree in Statistics\/Data Science in Finance at Purdue University.<\/p>                    <\/div>\n                            <\/div><!-- .accordion-content -->\n        <\/li>\n        <\/ul>\n\n<\/div><!-- \/module accordion -->        <\/div>\n                        <\/div>\n        <\/div>\n                        <div  data-css_id=\"u6fe602\" data-lazy=\"1\" class=\"module_row themify_builder_row fullwidth_row_container tb_u6fe602 tf_w\">\n                        <div class=\"row_inner col_align_top tb_col_count_1 tf_box tf_rel\">\n                        <div  data-lazy=\"1\" class=\"module_column tb-column col-full tb_84q1605 first\">\n                    <!-- module text -->\n<div  class=\"module module-text tb_k572608 track  \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h6>Track: Logistics<\/h6>    <\/div>\n<\/div>\n<!-- \/module text --><!-- module text -->\n<div  class=\"module module-text tb_xwmz608   \" data-lazy=\"1\">\n        <div  class=\"tb_text_wrap\">\n        <h2>Re-Inventing Demand Forecasting Using Causal AI<\/h2>\n<p>The last 3 years have exposed inherent biases and limitations in expert-driven and statistical\/ML-based forecasting approaches. Cisco wasn&rsquo;t immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.<\/p>\n<p>Was this avoidable?<\/p>\n<p>We have operationalized an effective, efficient, comprehensive, and transparent 2-year forecasting capability using Causal-AI that addresses these limitations and enables powerful prescriptive capabilities. Results include:<\/p>\n<ul>\n<li>Business-level demand forecasts 12-months out with &gt;90% accuracy<\/li>\n<li>Product-level 6 to 12-months out automated forecasts and accuracy that is resilient to the macro environment.<\/li>\n<li>Prescriptive demand-shaping feasibility from dramatically improved quantitative understanding of de-biased price elasticity<\/li>\n<\/ul>\n    <\/div>\n<\/div>\n<!-- \/module text -->        <\/div>\n                        <\/div>\n        <\/div>\n        <\/div>\n<!--\/themify_builder_content-->","protected":false},"excerpt":{"rendered":"<p>Puneet Gupta Manager Cisco Global Planning at Cisco Systems<\/p>\n","protected":false},"author":1001140,"featured_media":0,"parent":712,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"class_list":["post-5519","page","type-page","status-publish","hentry","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.0 (Yoast SEO v26.0) - 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His team is driving Cisco\u2019s charge to build a world leading demand forecasting analytics practice using transparent and causal AI approaches and optimal ensembles, leveraging methodologies from the fields of quantitative finance, econometrics, and supply chain to substantially augment Cisco's Global Planning function. Puneet has a Masters degree in Electrical Engineering, and experience developing Semiconductor test technology at Intel Corporation, developing and managing investment portfolios based on a quantitative macro-based intermediate term market forecasting methodology through an RIA he co-founded, and in leveraging AI to model and negotiate product and portfolio costs for Electronics Manufacturing and for decision support and optimization of Supply Chain Networks at Cisco Systems. He is also midway into a Masters degree in Statistics\/Data Science in Finance at Purdue University.<\/p><\/li><\/ul>\n<h6>Track: Logistics<\/h6>\n<h2>Re-Inventing Demand Forecasting Using Causal AI<\/h2> <p>The last 3 years have exposed inherent biases and limitations in expert-driven and statistical\/ML-based forecasting approaches. Cisco wasn&rsquo;t immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.<\/p> <p>Was this avoidable?<\/p> <p>We have operationalized an effective, efficient, comprehensive, and transparent 2-year forecasting capability using Causal-AI that addresses these limitations and enables powerful prescriptive capabilities. Results include:<\/p> <ul> <li>Business-level demand forecasts 12-months out with &gt;90% accuracy<\/li> <li>Product-level 6 to 12-months out automated forecasts and accuracy that is resilient to the macro environment.<\/li> <li>Prescriptive demand-shaping feasibility from dramatically improved quantitative understanding of de-biased price elasticity<\/li> <\/ul>","_links":{"self":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5519","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/users\/1001140"}],"replies":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/comments?post=5519"}],"version-history":[{"count":7,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5519\/revisions"}],"predecessor-version":[{"id":5549,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/5519\/revisions\/5549"}],"up":[{"embeddable":true,"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/pages\/712"}],"wp:attachment":[{"href":"https:\/\/meetings.informs.org\/wordpress\/analytics2024\/wp-json\/wp\/v2\/media?parent=5519"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}