ICACT20240479 Slide.14
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Thank You
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ICACT20240479 Slide.13
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Conclusion
The paper provided a comprehensive overview of AI-based logistics systems and introduced a framework for digital freight forwarding within the logistics domain.
The synthesis of AI technologies in logistics showcased their transformative impact on efficiency, transparency, and decision-making.
The conceptual framework outlined sets the stage for a more streamlined and responsive logistics ecosystem, emphasizing the pivotal role of AI in shaping the future of freight forwarding.
This contribution aims to inspire further exploration and integration of AI in logistics, fostering a progressive and technologically advanced industry.
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ICACT20240479 Slide.12
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Why is Digital freight forwarding?
Enhanced Customer Experience
Adaptability to Changing Conditions
Risk Management
Compliance and Documentation
As the logistics industry continues to evolve, embracing digital solutions becomes imperative for staying competitive and meeting the demands of a rapidly changing global market.
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ICACT20240479 Slide.11
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Why is Digital freight forwarding?
Digital freight forwarding is necessary for logistics for several compelling reasons, each contributing to the overall efficiency, transparency, and adaptability of the supply chain. Here are key reasons why digital freight forwarding has become essential:
Real-time Visibility
Efficient Communication
Data-driven Decision Making
Reduced manual Processes
Global Reach and Connectivity
Cost Efficiency
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ICACT20240479 Slide.10
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Digital freight forwarding in logistics: -
AI-driven quotation engines optimize cargo pickup, streamline inventory management, and enhance transportation routes, ensuring efficiency and minimizing delays.
AI automates export customs clearance and coordinates carrier handovers.
Real-time tracking during transit and AI-driven document verification speed up the logistics process, making it agile and efficient end-to-end.
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ICACT20240479 Slide.09
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Digital freight forwarding in logistics: -
AI-based freight forwarding in logistics involves the application of AI technologies to optimize and automate various aspects of freight forwarding processes.
It includes the use of AI algorithms for route optimization, demand forecasting, real-time tracking, document processing, and decision-making.
AI enhances efficiency, reduces costs, and improves overall operational effectiveness in logistics freight forwarding.
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ICACT20240479 Slide.08
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Genetic Algorithm in Smart Logistics
A computational optimization technique based on the ideas of natural selection and genetics
Resource Allocation, Optimizing Layout Design, Challenges in Warehouse Management.
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ICACT20240479 Slide.07
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AI in Smart Logistics.
Data Mining: - In smart logistics, data mining optimizes efficiency. Predictive Analytics manages inventory, Route Optimization ensures cost-effective logistics, Fraud Detection enhances security, and Energy Efficiency decisions are informed by identifying optimization opportunities.
Internet of Things: - IoT transforms logistics by connecting and tracking items for enhanced visibility, proactive maintenance, and optimized warehouse operations, ensuring real-time insights throughout the supply chain.
Blockchain: - Enhanced Supply Chain Transparency ensures real-time visibility, while Traceability and Provenance guarantee accurate tracking. Blockchain secures transactions, fostering trust, and resilience, and preventing fraud. Data Security and Privacy are prioritized through cryptographic techniques for confidentiality.
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ICACT20240479 Slide.06
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AI in Smart Logistics.
AI-based Planning: - AI transforms logistics planning, optimizing supply chains with data analysis, enhancing demand forecasting accuracy, and refining sales strategies through data-driven insights.
Computer Vision: - Computer Vision transforms logistics with advanced algorithms for Barcode and QR Code Scanning, enhancing efficiency and accuracy in inventory management. Real-time Tracking and Visibility are improved, providing instant insights and operational transparency. Quality Control becomes precise as Computer Vision identifies product defects with accuracy.
Natural Language Processing: - NLP transforms smart logistics by powering chatbots for swift customer support, automating order inquiries, and streamlining document processing for increased efficiency.
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ICACT20240479 Slide.05
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ICACT20240479 Slide.04
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AI in Smart Logistics.
Integrating AI into Smart Logistics is propelling a transformative wave across the logistics and supply chain management landscape.
AI algorithms, machine learning, and data analytics to enhance decision-making, streamline operations, and improve overall efficiency within the logistics ecosystem.
Key applications of AI in smart logistics include predictive analytics for demand forecasting, route optimization, real-time tracking, automated document processing, and adaptive decision-making.
In the next slides, we are going into detail with figures about AI applications for smart logistics.
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ICACT20240479 Slide.03
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ICACT20240479 Slide.02
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Introduction
Smart logistics involves using advanced technologies like AI, IoT, and data analytics to optimize and improve efficiency in supply chain and logistics operations, enhancing decision-making, visibility, and overall performance.
AI-based smart logistics involves using artificial intelligence technologies to optimize and improve efficiency in supply chain and logistics processes, making data-driven decisions, and adapting dynamically to changing conditions.
In the realm of global business, logistics stands out as a cornerstone, and the ongoing development of Artificial Intelligence (AI) is shaping logistics into a more secure and intelligent domain.
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ICACT20240479 Slide.01
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Contents
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ICACT20240479 Slide.00
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AI-based logistics system overview and a conceptual framework for digital freight forwarding in logistics.
Md Ariful Islam Mozumder
Department of Digital Anti-Aging Healthcare
Inje University, South Korea.
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