[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128153-en":3,"doc-seo-128153-105":31,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},128153,549768072016,"River Wang","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","From Data to Decisions: Machine Learning for Enterprise Demand Forecasting","This dissertation develops and applies machine learning methods for enterprise demand forecasting to convert complex, data-driven signals into actionable decisions. It is framed within a Doctor of Philosophy program in Business Analytics and supported by academic mentorship and a prior industry internship that shaped the research direction and practical orientation. The work integrates research guidance, coding best practices, and forecasting-focused analytics contributions aimed at expanding academic and industry understanding of applied forecasting models.","University of Tennessee, Knoxville  \nTRACE: Tennessee Research and Creative Exchange  \n\n| Doctoral Dissertations | Graduate School |\n| --- | --- |\n| 5-2025\u003Cbr>From Data to Decisions: Machine Learning for Enterprise Demand Forecasting\u003Cbr>FNU Harshvardhan\u003Cbr>University of Tennessee, Knoxville, [harshvar@utk.edu](harshvar@utk.edu)\u003Cbr>Follow this and additional works at: [https://trace.tennessee.edu/utk_graddiss](https://trace.tennessee.edu/utk_graddiss)\u003Cbr> Part of the Business Analytics Commons |  |\n\nRecommended Citation  \nHarshvardhan, FNU, \"From Data to Decisions: Machine Learning for Enterprise Demand Forecasting. \" PhD diss., University of Tennessee, 2025.  \n[https://trace.tennessee.edu/utk_graddiss/12366](https://trace.tennessee.edu/utk_graddiss/12366)  \nThis Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [trace@utk.edu](trace@utk.edu).  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by FNU Harshvardhan entitled \"From Data to Decisions: Machine Learning for Enterprise Demand Forecasting.\" I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Business Analytics.  \nChuanren Liu, Major Professor  \nWe have read this dissertation and recommend its acceptance: Paolo Letizia, Tingliang Huang, Xiaopeng Zhao  \nAccepted for the Council: Dr. Amy Cathey  \nVice Provost and Dean of the Graduate School  \n(Original signatures are on file with official student records.)  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by M Harshvardhan entitled “From Data to Decisions: Machine Learning for Enterprise Demand Forecasting.” I have examined the final paper copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Business Analytics.  \nDr. Chuanren Liu, Major Professor  \nWe have read this dissertation and recommend its acceptance:  \n\n| Dr. Paolo Letizia |\n| --- |\n| Dr. Tingliang Huang |\n\nDr. Xiaopeng Zhao  \nAccepted for the Council:  \nDixie L. Thompson  \nVice Provost and Dean of the Graduate School  \nTo the Graduate Council:  \nI am submitting herewith a dissertation written by M Harshvardhan entitled “From Data to Decisions: Machine Learning for Enterprise Demand Forecasting.” I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Business Analytics.  \nDr. Chuanren Liu, Major Professor  \nWe have read this dissertation and recommend its acceptance:  \nDr. Paolo Letizia  \nDr. Tingliang Huang  \nDr. Xiaopeng Zhao  \nAccepted for the Council: Dixie L. Thompson  \nVice Provost and Dean of the Graduate School  \n(Original signatures are on file with official student records.)  \nFrom Data to Decisions: Machine Learning for Enterprise Demand  \nForecasting  \nA Dissertation Presented for the Doctor of Philosophy  \nDegree  \nThe University of Tennessee, Knoxville  \nM Harshvardhan  \nMay 2025  \n© by M Harshvardhan, 2025 All Rights Reserved.  \nii  \nDedicated to my father Rajendra Prasad, my mother Chandra Lata Barnwal, and my  \nmotherland India.  \nAcknowledgements  \nFirst and foremost, I would like to thank Dr. Chuanren (Charles) Liu for his constant investment of time and effort in making me a better researcher. When I encountered roadblocks in research, he suggested innovative ways forward. His willingness to grant me significant freedom in research direction and time is deeply appreciated. His thoughtful comm","cbCaicAbXWZ1UITH","https://ap.wps.com/l/cbCaicAbXWZ1UITH","pdf",3107848,3,1,131,"English","en",105,"# Front Matter\n## Title Page\n## Dedication\n## Acknowledgements","[{\"question\":\"What is the dissertation’s main topic?\",\"answer\":\"The dissertation focuses on using machine learning for enterprise demand forecasting to support data-to-decision analytics.\"},{\"question\":\"Which academic field is the degree associated with?\",\"answer\":\"The degree is in a PhD program with a major in Business Analytics.\"},{\"question\":\"How did prior industry experience influence the dissertation?\",\"answer\":\"A 16-month internship with HP’s Strategic Planning and Modeling team significantly shaped the dissertation’s research direction and practical relevance.\"}]","From Data to Decisions: Machine Learning for Enterprise Demand Forecasting | PDF",1785945136,330,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":29},"from-data-to-decisions-machine-learning-for-enterprise-demand-forecasting","",{"@graph":37,"@context":86},[38,54,69],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,51],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":20},"https://docshare.wps.com/document/research-report/",{"item":52,"name":13,"@type":44,"position":53},"https://docshare.wps.com/document/from-data-to-decisions-machine-learning-for-enterprise-demand-forecasting/128153/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":24,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":42,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-26","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What is the dissertation’s main topic?","Question",{"text":76,"@type":77},"The dissertation focuses on using machine learning for enterprise demand forecasting to support data-to-decision analytics.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Which academic field is the degree associated with?",{"text":81,"@type":77},"The degree is in a PhD program with a major in Business Analytics.",{"name":83,"@type":74,"acceptedAnswer":84},"How did prior industry experience influence the dissertation?",{"text":85,"@type":77},"A 16-month internship with HP’s Strategic Planning and Modeling team significantly shaped the dissertation’s research direction and practical relevance.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":47,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":47,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":47,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]