Improving Supply Chain Visibility with Data Analytics
Author(s): Bhavya Vashisht
Publication #: 2412059
Date of Publication: 10.09.2022
Country: USA
Pages: 1-14
Published In: Volume 8 Issue 5 September-2022
DOI: https://doi.org/10.5281/zenodo.14384341
Abstract
Supply chain visibility is a cornerstone for operational efficiency in the trucking industry, enabling stakeholders to make informed decisions, optimize resources, and enhance customer satisfaction. This paper explores how data analytics can transform visibility in the USA trucking sector by leveraging tools such as IoT, GPS, and predictive analytics to address key challenges, including inefficiencies in tracking, communication gaps, and lack of real-time insights. Drawing on professional experience in operations within the trucking industry, this research delves into practical applications and real-world case studies to demonstrate the tangible benefits of data-driven strategies. The findings highlight that enhanced visibility through analytics not only improves operational performance but also position organizations to better respond to disruptions and meet growing customer expectations. This study serves as both a theoretical framework and a practical guide for professionals aiming to harness data analytics for supply chain optimization in trucking.
Keywords: Supply Chain Visibility, Data Analytics, Trucking Industry, Operations Management, USA Logistics, IoT in Supply Chain, Fleet Optimization, Real-Time Tracking, Transportation Management Systems.
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