An Intelligent Blockchain IoT Driven Supply Chain Finance Framework with Real-Time Inventory Analytics and Predictive Decision Support

Abstract

Supply chain finance (SCF) is an important tool in maintaining liquidity, confidence, and business continuity in the multi-stakeholder supply networks. Nevertheless, traditional SCF systems have weak real time inventory tracking, centralized trusting, transaction settlement lag and high vulnerability to fraud. This paper suggests an intelligent supply chain finance model based on the Blockchain -IoTdriven supply chain model by incorporating real-time inventory monitoring, secure decentralized transaction management and predictive decision support, to overcome such limitations. IoT sensors keep an eye on the level of inventory and environmental conditions, and blockchain technologies provide immutable, transparent, and resistant to alterations financial records on the form of smart contracts. A predictive analytics module is developed based on a Long Short-Term Memory (LSTM) that predicts the inventory demand and financial risk fluctuations to enable proactive decision-making. An interactive dashboard consolidates real-time and predictive knowledge to be able to make automated and data-led financial decisions. Experimental assessment proves that the developed framework has 95% accuracy when inventory, time and cost of transactions are significantly lowered, fraud cases are reduced, and the accuracy of demand forecasting is enhanced. This study validates the idea that IoT-blockchain-predictive analytics can offer a scalable, secure, and intelligent solution to next-generation supply chain finance systems.