This study provides an in-depth analysis of the current landscape of supply chain planning (SCP) software, focusing on the most prominent tools and technologies available in the market, such as AI, machine learning, blockchain, and IoT. It examines the capabilities of leading SCP software providers, as highlighted by sources like Gartner’s Magic Quadrant, and contrasts these offerings with academic perspectives. Despite the rapid technological advancements in SCP, the dream of fully automated, "touchless" supply chains remains out of reach due to various barriers, including organizational, economic, and technical challenges. The report also explores the disconnect between software providers' claims and academic research, particularly in emerging areas like digital twins and hyperautomation, where practical implementation often falls short. Moreover, it identifies key trends for 2024, such as hyperautomation, digital twins, and sustainability, and underscores the importance of effective change management, data governance, and AI integration for organizations seeking to capitalize on these innovations. However, the study finds that only a small percentage of companies achieve significant financial benefits from these technologies, emphasizing the need for further empirical research to close the gap between theory and practice in SCP and support more effective adoption of digital solutions.
Questo studio fornisce un'analisi approfondita del panorama attuale dei software di pianificazione della supply chain (SCP), concentrandosi sugli strumenti e le tecnologie più importanti disponibili sul mercato, come l'intelligenza artificiale, il machine learning, la blockchain e l'IoT. Esamina le capacità dei principali fornitori di software SCP, come evidenziato da fonti come il Magic Quadrant di Gartner, e mette a confronto queste offerte con le prospettive accademiche. Nonostante i rapidi progressi tecnologici nel settore SCP, il sogno di supply chain completamente automatizzate e "touchless" rimane fuori portata a causa di diverse barriere, tra cui sfide organizzative, economiche e tecniche. Il rapporto esplora inoltre il divario tra le affermazioni dei fornitori di software e la ricerca accademica, in particolare in aree emergenti come i digital twin e l'iperautomazione, dove l'implementazione pratica spesso non soddisfa le aspettative. Inoltre, identifica le tendenze chiave per il 2024, come l'iperautomazione, i digital twin e la sostenibilità, sottolineando l'importanza di una gestione efficace del cambiamento, della governance dei dati e dell'integrazione dell'IA per le organizzazioni che intendono trarre vantaggio da queste innovazioni. Tuttavia, lo studio rileva che solo una piccola percentuale di aziende ottiene benefici finanziari significativi da queste tecnologie, evidenziando la necessità di ulteriori ricerche empiriche per colmare il divario tra teoria e pratica nella SCP e supportare un'adozione più efficace delle soluzioni digitali.
Trends in supply chain planning software: analyzing capabilities, challenges, and technological advancements
DIAB, AHMED MAHMOUD MAHMOUD AHMED
2023/2024
Abstract
This study provides an in-depth analysis of the current landscape of supply chain planning (SCP) software, focusing on the most prominent tools and technologies available in the market, such as AI, machine learning, blockchain, and IoT. It examines the capabilities of leading SCP software providers, as highlighted by sources like Gartner’s Magic Quadrant, and contrasts these offerings with academic perspectives. Despite the rapid technological advancements in SCP, the dream of fully automated, "touchless" supply chains remains out of reach due to various barriers, including organizational, economic, and technical challenges. The report also explores the disconnect between software providers' claims and academic research, particularly in emerging areas like digital twins and hyperautomation, where practical implementation often falls short. Moreover, it identifies key trends for 2024, such as hyperautomation, digital twins, and sustainability, and underscores the importance of effective change management, data governance, and AI integration for organizations seeking to capitalize on these innovations. However, the study finds that only a small percentage of companies achieve significant financial benefits from these technologies, emphasizing the need for further empirical research to close the gap between theory and practice in SCP and support more effective adoption of digital solutions.File | Dimensione | Formato | |
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https://hdl.handle.net/10589/231793