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@article{165368, author = {Sudhir Makkar}, title = {Streamline Last Mile Connectivity with Transportation Management Systems}, journal = {International Journal of Innovative Research in Technology}, year = {}, volume = {11}, number = {1}, pages = {858-864}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=165368}, abstract = {This scholarly article delves into the importance and effective management of last-mile delivery in supply chain management. With growing consumer expectations for instant and reliable delivery services, strategizing and optimizing last-mile deliveries is of paramount significance. This research examines the utilization of Transportation Management Systems (TMS) as strategic tools to enhance last-mile connectivity, which is often the most challenging segment of the delivery process. Through an extensive literature review, coupled with use cases and interviews with industry professionals, this paper investigates the integration of TMS into existing logistical frameworks to address common challenges in last-mile delivery such as high costs, operational inefficiencies, and customer satisfaction demands. The paper also highlights advanced features of TMS including the use of Artificial Intelligence for route optimization, real-time tracking, event management, and embedded analytics to improve delivery efficiency at reduced cost and carbon footprint. We also explore significant barriers and unique challenges that organizations face in adopting TMS solutions including high investment costs, complex technological integration, and change management. The findings suggest that while TMS can significantly enhance the efficiency of last-mile delivery, careful consideration is required in their implementation to overcome associated challenges. This article aims to give stakeholders a deeper understanding of how strategic techniques can be effectively applied to reap the benefits of TMS to gain considerable advantage in a competitive marketplace.}, keywords = {Supply chain management, TMS, End to End (E2E), Digital Transformation, Route Optimization, Sustainability, Artificial Intelligence (AI).}, month = {}, }
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