2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 16 , Issue 1 , PP: 49-60, | Cite this article as | XML | Html | PDF | Full Length Article
Apeksha Garg 1 * , Sudha Vemaraju 2
Doi: https://doi.org/10.54216/JISIoT.160105
The following study investigates the role and impact of IoT and Al technologies on operational efficiency, sustainability, and cost optimization of freight forwarding companies. Their goals are to measure the effects of these technologies on logistics performance, assess sustainability improvements like decreased carbon emissions and waste, and identify cost-saving drivers for AI and IoT integration. H1: The operational efficiency of IoT and AI should enhance information sharing, route planning, and warehouse management significantly H2 claims that it will contribute to the reduction of carbon emissions and waste production by allowing real-time tracking, optimizing the usage of materials throughout the production cycle. H3- Cost Reduction in Logistics Operations through AI-based Automation, Predictive analytics and Improved Asset Management The approach was a quantitative research design, and data were obtained from 240 respondents from five large freight forwarders (companies): DHL Global Forwarding; Kuehne + Nagel; DB Schenker; XPO Logistics; and CEVA Logistics. Objective: Improvements after adoption are analyzed using structured questionnaires to measure key performance indicators (KPI) and frequency analysis and percentage calculation methods. The results confirm the transformative role of IoT and AI in freight logistics, increasing operational efficiency, sustainability, and cost efficiency. Logistics performance must be further optimized through continued investment in digital innovation.
IoT Integration , Smart AI , Sustainability Performance , Freight Forwarding , Operational Efficiency
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