Sustainable artificial intelligence-driven supply chain network, has blockchain transparency layer for securely recording supply chain transactions, carbon credits, and regulatory compliance data and predictive analytics module for forecasting demand, disruptions and optimal supply chain strategies
	DAS J; NAHATA C; KUNDU M; RAKSHIT S; SAHOO S; BISWAS S
	2025-04-12
专利权人	JIS COLLEGE ENG (JISC-Non-standard)
申请日期	2025-04-12
专利号	IN202531035774-A
成果简介	NOVELTY - The network has an artificial intelligence (AI)-based decision engine which is configured to optimize logistics, inventory management, and carbon footprint reduction based on real-time data inputs. An Internet of Things (IoT)-enabled remote monitoring system comprises sensors to track operational metrics including temperature, humidity, fuel consumption and emissions. A blockchain transparency layer is configured to securely record supply chain transactions, carbon credits, and regulatory compliance data. A predictive analytics module is configured to forecast demand, disruptions, and optimal supply chain strategies. USE - Sustainable AI-driven supply chain network. ADVANTAGE - The network integrates AI, real-time IoT monitoring, predictive analytics and blockchain technology to optimize global supply chains, enhances supply chain efficiency, overall efficiency, resilience, sustainability and real-time decision-making and adaptability, reduces cost, environmental impact, disruptions, delays, carbon emissions, energy consumption, administrative overhead and human error, leverages AI to optimize logistics, transportation routes and inventory management, monitors environmental parameters in real-time, ensures that supply chain operations satisfy sustainability goals and remains efficient and resilient, promotes greener practices throughout the supply chain, analyzes real-time data continuously, adjusts to changes in demand, traffic, weather conditions, and environmental goals dynamically, increases transparency and trust, ensures ethical sourcing, fair trade practices, and regulatory compliance, secure, transparent, and immutable records of all transactions comprising carbon credits, regulatory compliance, and financial exchanges, accountability and adherence to sustainability standards, fosters trust among stakeholders, avoids fraud, provides a clear audit trail for supply chain activities, forecasts potential disruptions e.g. weather anomalies or geopolitical risks, and suggests alternative strategies or routes to mitigate risks, helps businesses better prepare for fluctuations in market conditions and automates routine transactions, payments, and agreements between suppliers. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of the sustainable AI-driven supply chain network.
IPC 分类号	G06N-020/00 ; G06Q-010/087 ; G06Q-030/018 ; H04L-009/00 ; H04L-009/32
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13181
专题	中国科学院新疆生态与地理研究所
作者单位	JIS COLLEGE ENG (JISC-Non-standard)
推荐引用方式 GB/T 7714	DAS J,NAHATA C,KUNDU M,et al. Sustainable artificial intelligence-driven supply chain network, has blockchain transparency layer for securely recording supply chain transactions, carbon credits, and regulatory compliance data and predictive analytics module for forecasting demand, disruptions and optimal supply chain strategies. IN202531035774-A[P]. 2025.

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