[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-117590-en":3,"doc-seo-117590-105":30,"detail-sidebar-cat-0-en-105":91},{"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":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},117590,1374391974468,"Eden","https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0",8,"Research & Report","From Reactive to Predictive: AI-Driven Logistics Forecasting at Scania - Tesi di Laurea","Graduation thesis on transitioning logistics forecasting from reactive practices to predictive analytics powered by AI at Scania. The work structures the internship and organizational context, analyzes the competitive environment, and deepens the central theme through theoretical focus on current processes and manual scanning limits. It applies a methodological framework using Random Forest Regression, conducts literature review, performs data collection and preparation, builds predictive modelling, evaluates model performance, and tests validation and robustness. Results target automation benefits and operational improvements for logistics operations.","UNIVERSITÀ DEGLI STUDI DI PADOVA  \nDIPARTIMENTO DI SCIENZE ECONOMICHE EDAZIENDALI “M. FANNO”  \nCORSO DI LAUREA IN ECONOMIA  \nPROVA FINALE  \n“FROM REACTIVE TO PREDICTIVE: AI-DRIVEN LOGISTICS FORECASTING AT SCANIA”  \nRELATORE:  \nCH.MO PROF. Andrea Furlan  \nLAUREANDA: Nicole Zanello MATRICOLA N. 2068539  \nANNO ACCADEMICO 2024 – 2025  \nDichiaro di aver preso visione del “Regolamento antiplagio” approvato dal Consiglio del Dipartimento di Scienze Economiche e Aziendali e, consapevole delle conseguenze derivanti da dichiarazioni mendaci, dichiaro che il presente lavoro non è già stato sottoposto, in tutto o in parte, per il conseguimento di un titolo accademico in altre Università italiane o straniere. Dichiaro inoltre che tutte le fonti utilizzate per la realizzazione del presente lavoro, inclusi i materiali digitali, sono state correttamente citate nel corpo del testo e nella sezione ‘Riferimenti bibliografici’.  \nI hereby declare that I have read and understood the “Anti-plagiarism rules and regulations” approved by the Council of the Department of Economics and Management and Iam aware of the consequences of making false statements. I declare that this piece of work has not been previously submitted – either fully or partially –for fulfilling the requirements of an academic degree, whether in Italy or abroad. Furthermore, I declare that the references used for this work – including the digital materials – have been appropriately cited and acknowledged in the text and in the section ‘References’.  \nFirma (signature)  \nRINGRAZIAMENTI  \nAi colleghi del Dipartimento di Ingegneria e Logistica di Scania, La mia casa lontano da casa.  \nAi miei amici,  \nIl mio vino di vita che non perde mai sapore.  \nA Daniel,  \nLa mia roccia gentile.  \nAgli zii,  \nScultori emotivi e pittori della mia anima.  \nAi nonni,  \nI quali non hanno avuto le mie stesse possibilità . Questa è il primo dei nostri traguardi.  \nAlla mamma e al papà,  \nIl ponte tra la realtà e i miei sogni.  \nGrazie.  \nConquistare quello che non conosciamo di noi stessi origina inedite abilità .  \n(Silvano Brunelli,“La mente reattiva ”) .  \nINDICE  \nRINGRAZIAMENTI ......................................................................................... 3  \nINDICE ......................................................................................................... 5  \nELENCO FIGURE ........................................................................................... 7  \nESTRATTO IN LINGUA ITALIANA .................................................................... 8  \nINTRODUZIONE ............................................................................................. 9  \nCAPITOLO 1 DESCRIPTION OF THE ORGANIZATION ........................................ 10  \n1.1 History of the Organization ............................................................................. 10  \n1.2 Key Organizational Data ................................................................................. 10  \n1.3 Organizational Structure .................................................................................. 11  \nCAPITOLO 2 ANALYSIS OF THE COMPETITIVE CONTEXT ................................. 13  \n2.1 Competitive Environment Analysis................................................................. 13  \n2.1.1 Porter’s Five Forces Framework .............................................................. 13  \n2.1.2 Competitive Strategies ............................................................................. 14  \n2.1.3 Differentiation Techniques....................................................................... 14  \n2.1.4 Corporate Strategies ................................................................................. 15  \nCAPITOLO 3 DESCRIPTION OF THE INTERNSHIP ............................................. 16  \n3.1 General Internship Information ....................................................................... 16  \n3.2 Objectives and Detailed Activities ...........","cbCais8xbjWNrdSG","https://ap.wps.com/l/cbCais8xbjWNrdSG","pdf",2442187,1,37,"English","en",105,"# Ringraziamenti\n# Indice\n# Elenco Figure\n# Estratto in Lingua Italiana\n# Introduzione\n# Capitolo 1 Description of the Organization\n## History of the Organization\n## Key Organizational Data\n## Organizational Structure\n# Capitolo 2 Analysis of the Competitive Context\n## Competitive Environment Analysis\n## Porter’s Five Forces Framework\n## Competitive Strategies\n## Differentiation Techniques\n## Corporate Strategies\n# Capitolo 3 Description of the Internship\n## General Internship Information\n## Objectives and Detailed Activities\n# Capitolo 4 Thematic Deepening\n## Identification of the Theorical Focus\n## Current Process at Scania\n## Theoretical Insights: Layout Design and Line-Feeding Models\n## Issues with the Current Manual System\n## Data Analysis of Manual Scanning Method\n## Theoretical Tools for Effective and Rigorous Approach\n## Methodological Framework: Random Forest Regression\n## Literature Review\n## Critical Discussion of the Thematic Issue\n## Data Collection and Preparation\n## Predictive Modelling and Analysis\n## Evaluation of Model Performance\n## Validation and Robustness Analysis\n## Operational Benefits of Automation\n# Bibliografia\n# Appendice","[{\"question\":\"Qual è l’obiettivo principale della tesi su Scania?\",\"answer\":\"La tesi mira a passare da pratiche reattive a forecasting logistico predittivo basato su AI, inserendolo nel contesto organizzativo e operativo di Scania.\"},{\"question\":\"Che framework metodologico viene utilizzato per il modellamento predittivo?\",\"answer\":\"Viene impiegato un framework metodologico basato su Random Forest Regression, supportato da una literature review e da un percorso strutturato di analisi dati.\"},{\"question\":\"Come vengono valutate le prestazioni del modello?\",\"answer\":\"Il lavoro prevede data collection e preparation, predictive modelling e analisi, quindi valutazione delle prestazioni e test di validation e robustness. Infine, vengono discussi i benefici operativi dell’automazione.\"}]","From Reactive to Predictive: AI-Driven Logistics Forecasting at Scania - Tesi di Laurea | PDF",1785677124,93,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"from-reactive-to-predictive-ai-driven-logistics-forecasting-at-scania-graduation-thesis","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/from-reactive-to-predictive-ai-driven-logistics-forecasting-at-scania-graduation-thesis/117590/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-02",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Qual è l’obiettivo principale della tesi su Scania?","Question",{"text":75,"@type":76},"La tesi mira a passare da pratiche reattive a forecasting logistico predittivo basato su AI, inserendolo nel contesto organizzativo e operativo di Scania.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Che framework metodologico viene utilizzato per il modellamento predittivo?",{"text":80,"@type":76},"Viene impiegato un framework metodologico basato su Random Forest Regression, supportato da una literature review e da un percorso strutturato di analisi dati.",{"name":82,"@type":73,"acceptedAnswer":83},"Come vengono valutate le prestazioni del modello?",{"text":84,"@type":76},"Il lavoro prevede data collection e preparation, predictive modelling e analisi, quindi valutazione delle prestazioni e test di validation e robustness. 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