• Sudhir Makkar

Abstract - The amalgamation of Artificial Intelligence (AI) and Machine Learning (ML) technologies has become imperative in the contemporary corporate environment, as it facilitates improving efficiency, agility, and innovation in diverse fields. This study examines how AI and ML may be integrated with SAP Transportation Management (SAP TM), a crucial aspect of digital supply chain logistics and operations. Organizations can enhance decision-making procedures, improve route planning, forecast demand trends, and reduce risks in transportation operations by utilizing AI and ML. This research clarifies the possible advantages and difficulties of integrating AI and ML features into SAP TM systems by thoroughly analyzing existing literature and case studies. This study clarifies the possible advantages and difficulties of integrating AI and ML features into SAP TM systems. Additionally, the paper offers a conceptual framework that includes data integration, optimization methods, predictive analytics, and real-time decision support for the smooth integration of AI and ML algorithms within SAP TM. In addition, useful advice and insights are given for businesses using AI and ML capabilities in SAP TM. These include organizational preparedness, scalability, interpretability of models, and data quality. Organizations may seize new chances for cost savings, operational excellence, and strategic differentiation in the ever-changing field of transportation management by embracing AI and ML integration in SAP TM.

SAP Transportation Management Systems (TMS), Artificial Intelligence (AI), Machine Learning, Route Optimization, Decision Support.

"Unlocking Efficiency and Innovation: Integrating Artificial Intelligence and Machine Learning in SAP Transportation Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.e445-e450, April-2024, Available :http://www.jetir.org/papers/JETIR2404449.pdf

"Unlocking Efficiency and Innovation: Integrating Artificial Intelligence and Machine Learning in SAP Transportation Management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppe445-e450, April-2024, Available at : http://www.jetir.org/papers/JETIR2404449.pdf