Scopes
(The following topics include but are not limited to)
Track 1: Smart Logistics Technology and System Innovation
Application of artificial intelligence, machine learning and big data in logistics
Unmanned delivery systems and autonomous logistics vehicles
Intelligent warehousing and automated sorting systems
Logistics digital twin and simulation modeling
Application of Internet of Things (IoT) in the full chain tracking of logistics
Smart logistics information platform and system integration
Urban logistics and last-mile delivery optimization
Intelligent management of cold chain logistics
Logistics blockchain and trustworthy traceability
Low-altitude smart logistics and application of drone logistics
Intelligent scheduling and path optimization algorithms
Automation, control and robotics technology in logistics systems
Track 2: Digital Supply Chain and Resilience Management
Digital supply chain architecture, modeling and simulation
Digital collaborative management of the entire supply chain process
Intelligent identification and resilience assessment of supply chain risks
Supply chain disruption warning and emergency response mechanisms
Optimization design of multi-level supply chain network resilience
Blockchain-driven supply chain traceability and trustworthy transactions
Supply chain information sharing mechanism and collaborative decision-making
ESG-driven green supply chain and low-carbon logistics
Intelligent optimization of supply chain inventory and demand forecasting
Intelligent procurement and supplier collaboration management
Supply chain finance innovation and credit risk management
Global supply chain reconfiguration and geopolitical risk response strategies
Track 3: AI-driven Supply Chain Intelligence and Security
Application of AI and machine learning in supply chain security
Human-machine collaborative decision-making system and human-in-the-loop system
Interpretable AI in logistics decision-making
Application of information retrieval and knowledge management in supply chain
Natural language processing and text mining in logistics data analysis
Computer vision and image processing in warehousing and distribution
Human-computer interaction and usability in logistics system design
Industrial Internet of Things and cyber-physical systems
Application of cloud computing, edge computing and distributed systems in supply chain
Cybersecurity and privacy encryption technologies in digital supply chain
AI-driven engineering system management and intelligent simulation optimization
Generative AI applications in the field of logistics and supply chain
Emerging theme: AI + Modern Logistics and Supply Chain Integration Application
...
Track 1: Smart Logistics Technology and System Innovation
Application of artificial intelligence, machine learning and big data in logistics
Unmanned delivery systems and autonomous logistics vehicles
Intelligent warehousing and automated sorting systems
Logistics digital twin and simulation modeling
Application of Internet of Things (IoT) in the full chain tracking of logistics
Smart logistics information platform and system integration
Urban logistics and last-mile delivery optimization
Intelligent management of cold chain logistics
Logistics blockchain and trustworthy traceability
Low-altitude smart logistics and application of drone logistics
Intelligent scheduling and path optimization algorithms
Automation, control and robotics technology in logistics systems
Track 2: Digital Supply Chain and Resilience Management
Digital supply chain architecture, modeling and simulation
Digital collaborative management of the entire supply chain process
Intelligent identification and resilience assessment of supply chain risks
Supply chain disruption warning and emergency response mechanisms
Optimization design of multi-level supply chain network resilience
Blockchain-driven supply chain traceability and trustworthy transactions
Supply chain information sharing mechanism and collaborative decision-making
ESG-driven green supply chain and low-carbon logistics
Intelligent optimization of supply chain inventory and demand forecasting
Intelligent procurement and supplier collaboration management
Supply chain finance innovation and credit risk management
Global supply chain reconfiguration and geopolitical risk response strategies
Track 3: AI-driven Supply Chain Intelligence and Security
Application of AI and machine learning in supply chain security
Human-machine collaborative decision-making system and human-in-the-loop system
Interpretable AI in logistics decision-making
Application of information retrieval and knowledge management in supply chain
Natural language processing and text mining in logistics data analysis
Computer vision and image processing in warehousing and distribution
Human-computer interaction and usability in logistics system design
Industrial Internet of Things and cyber-physical systems
Application of cloud computing, edge computing and distributed systems in supply chain
Cybersecurity and privacy encryption technologies in digital supply chain
AI-driven engineering system management and intelligent simulation optimization
Generative AI applications in the field of logistics and supply chain
Emerging theme: AI + Modern Logistics and Supply Chain Integration Application
...
Important Dates/重要日期
- Submission Deadline: 2026.10.10
- Registration Deadline: 2026.10.17
- Conference Date: 2026.10.25
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: icmtas_con@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
蒋老师
+86-15680824672(微信同号)
3761629232
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