Revolutionizing stock management with IoT: Real-time visibility, automation, and efficiency

Volume 1, Issue 2 (Sept-Nov 2025)

Authors: Rupayan Roy, Vaibhavi Bhosale and Arya Nambiar

DOI: doi.org/10.64848/WJST.1.2.2025.69-90

Page No: 69-90

Keywords: IoT, Inventory management, AI, Machine learning, Blockchain, Supply chain, Edge computing, Digital twins, Stock tracking, Smart warehouses

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Abstract

The rapid advancement of Internet of Things (IoT) technologies has revolutionized stock and inventory management by facilitating real-time visibility, automation, and data-informed decisionmaking all of which replace error-prone and repeated ... manual systems with connected sensors, Radio Frequency Identification (RFID) tags, and smart Devices that, in real-time, track goods through warehouses and supply chains. As a result of this transformation, inefficiencies are exacerbated, loss decreases, and responsiveness to unpredictable market demand is increased. Looking into the future, the inventory management work of disruptive technology is aided by innovations such as Artificial Intelligence (AI), blockchain, edge computing, and digital twins. AI can boost forecasting and predictive analytics to levee supply with demand more effectively while blockchain can provide transparency and security from tampering due to their immutable, transaction ledgers. Additionally, edge computing capabilities enable low-latency data processing at the source of collection. Digital twins reconstruct physical inventory systems into virtual models to simulate, explore, and develop risk management functions. When combining these innovative technologies, a smarter, safer, and evolved inventory ecosystem will be formed; an environment that provides organizations with a competitive advantage by
permitting more effective use of efficiency, transparency, and escalation in resilience attributes in a globally complex marketplace.