Published February 25, 2026 | Version v1

A Study on IoT-Based Supply Chain & Smart Logistics

Description

Abstract
The convergence of the Internet of Things (IoT), Artificial Intelligence (AI), Next-Generation Networks (5G),
and distributed ledger technologies is fundamentally restructuring the foundational architecture of global supply
chain management (SCM) and logistics. This comprehensive research report investigates the multidimensional
impacts of IoT-enabled smart logistics, transitioning traditional, fragmented supply chains into autonomous,
predictive, and resilient ecosystems. By integrating sensor-driven data collection with advanced machine learning
algorithms, modern logistics frameworks achieve unprecedented visibility, operational efficiency, and
sustainability. This paper synthesizes current architectural paradigms—ranging from perception and network
layers to cloud and edge computing middlewares—and rigorously evaluates the performance of core IoT
communication protocols, specifically MQTT and CoAP, in constrained environments. Quantitative analyses
demonstrate substantial operational improvements, including a 69% reduction in production line stoppages, an
impressive 186% return on investment (ROI) over three years, and measurable reductions in carbon emissions
and material waste across major global freight forwarders. Furthermore, the report examines the integration of
blockchain technology and hardware-level security to mitigate the critical cybersecurity vulnerabilities inherent
in massive IoT deployments. Finally, the analysis contextualizes these technological advancements within the
rapidly evolving logistics landscape of India, with a specific focus on systemic infrastructure developments, skill
gap mitigation, and smart city initiatives in the state of Jharkhand. The findings indicate that the holistic integration
of these cyber-physical systems is essential for building responsive, future-ready logistics ecosystems.


Keywords
Internet of Things (IoT), Smart Logistics, Supply Chain Management, Artificial Intelligence (AI), Edge
Computing, Blockchain Traceability

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