Tiansheng Cross-Border Supply Chain Applies for "Product Traceability" Patent: Leveraging Blockchain, Graph Neural Networks, and Reinforcement Learning to Enhance Cross-Border Logistics Efficiency

Tiansheng Cross-Border Supply Chain Applies for "Product Traceability" Patent: Leveraging Blockchain, Graph Neural Networks, and Reinforcement Learning to Enhance Cross-Border Logistics EfficiencyThe National Intellectual Property Administration of China shows that Tiansheng Cross-Border Supply Chain (Guangdong) Co., Ltd

Tiansheng Cross-Border Supply Chain Applies for "Product Traceability" Patent: Leveraging Blockchain, Graph Neural Networks, and Reinforcement Learning to Enhance Cross-Border Logistics Efficiency

The National Intellectual Property Administration of China shows that Tiansheng Cross-Border Supply Chain (Guangdong) Co., Ltd. filed a patent application in September 2024 for a "Method and System for Product Traceability in Cross-border Logistics," with the publication number CN119359320A. This patent application aims to solve the challenges of product traceability in cross-border e-commerce supply chains and improve supply chain efficiency and profitability through innovative technologies. The publication of this patent application marks a significant step forward in Tiansheng's technological innovation and offers new approaches and solutions for product traceability in the cross-border logistics industry.

The patent abstract details the core technology. It centers on building a blockchain network based on a consortium chain architecture, cleverly integrating multiple advanced technologies to achieve end-to-end traceability of goods in cross-border e-commerce supply chains. This technology is not a simple blockchain application but a complex, efficient system formed by the deep integration of blockchain technology with other artificial intelligence technologies.

Firstly, the patent application proposes using a consortium chain architecture to design a blockchain network for multiple participants in the cross-border e-commerce supply chain. The characteristics of the consortium chain allow participating parties to share information in a secure and trustworthy environment, improving data transparency and traceability. This is particularly important for cross-border logistics, a complex scenario involving multiple links and parties. Traditional centralized systems often struggle to guarantee data security and integrity, while the decentralized nature of the consortium chain effectively addresses this issue.

Secondly, the patent application designs a tiered data storage scheme, storing high-frequency transaction data in an off-chain database. This is an efficient data management strategy. Storing high-frequency, massive data off-chain effectively reduces the burden on the blockchain network, improving system processing speed and efficiency. The blockchain primarily stores key information and important transaction records, while the off-chain database handles more frequent data; both complement each other to ensure system stability and high performance.

To further enhance the accuracy and efficiency of traceability, the patent also proposes integrating a graph neural network model into the blockchain network. Graph neural networks can effectively process complex relational data. In cross-border logistics, the flow of goods often involves multiple participants and complex logistics nodes. Graph neural networks can effectively model these relationships and extract valuable information from them to achieve more accurate traceability.

Furthermore, the patent application proposes building a reinforcement learning model, modeling the supply chain operation process as a Markov decision process. Reinforcement learning is a machine learning method that can find optimal decision-making strategies through repeated trials and learning. Modeling the supply chain operation process as a Markov decision process can help the system automatically optimize supply chain processes, improve efficiency, and reduce costs. This demonstrates the deep application of this patent technology in the field of artificial intelligence, deeply integrating intelligent technology with supply chain management to achieve intelligent and automated management.

Addressing the need for full supply chain tracking, the patent application also designs a data management scheme based on blockchain and the Internet of Things (IoT). The application of IoT technology allows for real-time collection of various data on goods during transportation, such as location, temperature, and humidity. This data can be integrated with the data on the blockchain to achieve end-to-end tracking of goods. The addition of IoT technology makes the traceability process more refined and real-time, further improving the accuracy and efficiency of tracking.

The distributed environment deployment hybrid architecture mentioned in the patent application, through containerization technology and microservices design, further enhances the scalability and stability of the system. Containerization technology and microservice architecture can effectively improve the system's fault tolerance and maintainability, ensuring stable operation under high concurrency requests. This is crucial for a global cross-border e-commerce supply chain.

To address the explainability of complex architectures, the patent application also introduces attention mechanisms and causal inference techniques to visualize and explain the decision-making process of the model. This is crucial for improving system transparency and credibility. Through visual explanations, one can clearly understand how the model makes decisions, thereby improving system credibility and user acceptance. This is also important for auditing and regulation.

In summary, Tiansheng Cross-Border Supply Chain's "product traceability" patent application combines multiple advanced technologies, including blockchain, graph neural networks, reinforcement learning, and the Internet of Things, to build a highly efficient, secure, and transparent product traceability system for cross-border logistics. This system can effectively improve supply chain efficiency and profitability, providing new directions and solutions for product traceability in the cross-border logistics industry. The application of this technology will have a profound impact on the cross-border e-commerce industry, driving the industry towards a more secure, efficient, and transparent direction.

According to Tianyancha data, Tiansheng Cross-Border Supply Chain (Guangdong) Co., Ltd., established in 2021 and located in Guangzhou, has a registered capital of 10 million RMB and is a company primarily engaged in business services. The company has invested in 6 other companies and holds 2 administrative licenses. This information indicates that Tiansheng Cross-Border Supply Chain is a company with development potential, demonstrating a proactive stance in technological innovation and business expansion. This patent application is another major breakthrough in the company's technological innovation. The successful application of this technology will bring Tiansheng Cross-Border Supply Chain a greater competitive advantage and drive its further development in the cross-border logistics field. The company's technological innovation capabilities will provide strong support for its future market competition.