EcoChain is a top-to-bottom blockchain-powered supply chain management system relying on IoT sensors, edge computing, AI-enabled demand forecasting, smart contracts, and blockchain technology for solving modern-day supply chain issues. It tries to enhance visibility, support instantaneous decision-making, optimize use of resources, and automate requisite procedures. Blockchain provides a secure tamper-evident ledger of decentralized information that enables transactions and IoT sensors to monitor continuous monitoring of conditions on products including location and temperature. Edge computing processes the data in real-time locally to reduce latency and enables real-time anomaly detection. The system utilizes AI models such as ARIMA for accurate demand forecasting and synchronizes production with real-time demand to prevent wastage. It automates critical processes such as payment, restocking inventory, and shipment approvals through smart contracts, reducing human intervention. In a simulated environment, EcoChain showed robust demand forecasting accuracy (96–98%) and minimal decision latency (2.5–4 s per transaction) as against traditional supply chain systems. The end-to-end technology integration in EcoChain is more scalable, open, and efficient in operation.

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EcoChain: A Blockchain-Based Supply Chain Management

  • T. Shreekumar,
  • M. Ramakrishna,
  • K. Sadhana,
  • M. B. Meghashree

摘要

EcoChain is a top-to-bottom blockchain-powered supply chain management system relying on IoT sensors, edge computing, AI-enabled demand forecasting, smart contracts, and blockchain technology for solving modern-day supply chain issues. It tries to enhance visibility, support instantaneous decision-making, optimize use of resources, and automate requisite procedures. Blockchain provides a secure tamper-evident ledger of decentralized information that enables transactions and IoT sensors to monitor continuous monitoring of conditions on products including location and temperature. Edge computing processes the data in real-time locally to reduce latency and enables real-time anomaly detection. The system utilizes AI models such as ARIMA for accurate demand forecasting and synchronizes production with real-time demand to prevent wastage. It automates critical processes such as payment, restocking inventory, and shipment approvals through smart contracts, reducing human intervention. In a simulated environment, EcoChain showed robust demand forecasting accuracy (96–98%) and minimal decision latency (2.5–4 s per transaction) as against traditional supply chain systems. The end-to-end technology integration in EcoChain is more scalable, open, and efficient in operation.