Golden Point Traceability Platform-Shenzhen Jintiansu Technology Co., Ltd.

Application Scenarios

In the context of global competition and digital transformation, traditional supply chain management is faced with pain points such as data islands, difficult quality traceability, chaotic channels and resource waste. The digital intelligent traceability system integrates Internet of Things, blockchain, AI and other technologies to build a new solution for full-link management:

Trusted traceability throughout the process: Blockchain ensures that data from raw materials to terminals cannot be tampered with, and solves the problem of quality responsibility;

Intelligent channel control: GIS geographical fence + consumer scanning code to build a network to prevent diversion, and the inspection efficiency is increased by 8 times;

Green digital transformation: paperless documents and intelligent logistics optimization, reducing operating costs by 15%;

Data-driven decision: real-time dashboard and predictive analysis, inventory warning accuracy of 90%;

Multi-value sharing: consumers scan the code to verify the authenticity, dealers can make intelligent distribution, and enterprises can control quality to form a win-win situation.

Our platform has helped manufacturing, FMCG and other industries to achieve: quality traceability efficiency increased by 90%, channel profit increased by 5-8%, customer satisfaction increased by 40%, and the transformation of supply chain from cost center to value center.

Information collection and traceability of the whole life cycle of products

In the raw material link, collect raw material information, batch management data and environmental data; Production process tracking production factory, batch and other information, covering packaging relationship and production process; The warehousing process records the time of entry and exit, order number, etc., supports a variety of outbound methods and manages the inventory of the whole network; The distribution link has the information of dealers entry and exit from the warehouse; The terminal link retains information such as sales outlets, sales time and product warranty information; The marketing link realizes user diversion, points marketing and member system management through scanning code. In addition, it can also collect key data such as orders and carriers in the external logistics transportation link, provide enterprises and consumers with transparent and traceable information services of the whole product process, and help enterprises to control quality and protect the rights and interests of consumers.

Information collection and traceability of the whole life cycle of products

In the raw material link, collect raw material information, batch management data and environmental data; Production process tracking production factory, batch and other information, covering packaging relationship and production process; The warehousing process records the time of entry and exit, order number, etc., supports a variety of outbound methods and manages the inventory of the whole network; The distribution link has the information of dealers entry and exit from the warehouse; The terminal link retains information such as sales outlets, sales time and product warranty information; The marketing link realizes user diversion, points marketing and member system management through scanning code. In addition, it can also collect key data such as orders and carriers in the external logistics transportation link, provide enterprises and consumers with transparent and traceable information services of the whole product process, and help enterprises to control quality and protect the rights and interests of consumers.

Anti-diversion management

This platform supports the anti-diversion management function of commodities. In terms of corporate audits, auditors can conduct spot checks at warehouses, various levels of dealers, and retail outlets. By scanning a QR code with a mini-program, the system automatically compares information on sales areas, channels, and prices, quickly and accurately identifying any instances of unauthorized distribution or price manipulation, ensuring that any violations are not overlooked. Additionally, a stringent system for selecting, evaluating, and assessing dealers ensures that violators face severe penalties, thereby maintaining market order. At the same time, when consumers scan the code, it triggers a warning for unauthorized distribution, mobilizing public participation in supervision. When consumers scan the code, the platform collects information and compares the actual sales area with the planned distribution area. If there is a discrepancy, an automatic warning is immediately issued. This expands the channels for monitoring unauthorized distribution, enabling companies to promptly track product movements, maintain market stability, and protect the legitimate rights and interests of themselves, dealers, and consumers.

Anti-diversion management

This platform supports the anti-diversion management function of commodities. In terms of corporate audits, auditors can conduct spot checks at warehouses, various levels of dealers, and retail outlets. By scanning a QR code with a mini-program, the system automatically compares information on sales areas, channels, and prices, quickly and accurately identifying any instances of unauthorized distribution or price manipulation, ensuring that any violations are not overlooked. Additionally, a stringent system for selecting, evaluating, and assessing dealers ensures that violators face severe penalties, thereby maintaining market order. At the same time, when consumers scan the code, it triggers a warning for unauthorized distribution, mobilizing public participation in supervision. When consumers scan the code, the platform collects information and compares the actual sales area with the planned distribution area. If there is a discrepancy, an automatic warning is immediately issued. This expands the channels for monitoring unauthorized distribution, enabling companies to promptly track product movements, maintain market stability, and protect the legitimate rights and interests of themselves, dealers, and consumers.

Blockchain traceability

Blockchain traceability is a technical means to track and record the source and circulation process of commodity traceability information by using blockchain technology. It has the following key characteristics

Blockchain traceability

Blockchain traceability is a technical means to track and record the source and circulation process of commodity traceability information by using blockchain technology. It has the following key characteristics

Digitalize

At present, in the whole life cycle management of paper materials such as instructions and warranty cards, there are serious pain points such as serious resource waste, lagging information update and poor user experience in the manufacturing industry. According to statistics, the direct cost generated by paper documents of a single large manufacturing enterprise exceeds 10 million yuan per year, and the indirect carbon emission can reach hundreds of tons.

Our digital and paperless solution has achieved a breakthrough through the JinDian Traceability Platform: users can scan a code to access electronic product documents in real time, while enterprises can simultaneously optimize costs in printing, warehousing, and logistics. This solution offers three core values: first, it significantly reduces operating costs by cutting related expenses by over 60%; second, it supports COMPACT updates to ensure users always have the latest product information; third, it promotes green practices by reducing the carbon footprint of individual products by about 30%. Currently, this model has been widely adopted in industries such as home appliances and electronic devices, enhancing service response times and building an environmentally friendly corporate image, making it a benchmark for the digital transformation of manufacturing.

The instruction manual and warranty card are paperless

In todays era of green environmental protection and efficient operations, our traceability platform offers a revolutionary paperless solution for manufacturing enterprises. Previously, these enterprises had to invest heavily in the paper printing of product manuals and warranty cards, from paper procurement, production, to warehousing and logistics, each step consuming significant human, material, and financial resources. Our platform breaks the mold by embracing electronic transformation. When users scan the code for traceability, the products manual and warranty card information are instantly displayed electronically. This not only eliminates the need for paper procurement, printing, layout, and storage management, significantly cutting costs, but also aligns with the goals of carbon neutrality and peak carbon emissions, reducing resource consumption and carbon emissions, thus promoting green development. Additionally, electronic information is easy to update and maintain, allowing companies to upload the latest versions at any time, ensuring users receive the most accurate content, thereby enhancing service quality and user experience.

The instruction manual and warranty card are paperless

In todays era of green environmental protection and efficient operations, our traceability platform offers a revolutionary paperless solution for manufacturing enterprises. Previously, these enterprises had to invest heavily in the paper printing of product manuals and warranty cards, from paper procurement, production, to warehousing and logistics, each step consuming significant human, material, and financial resources. Our platform breaks the mold by embracing electronic transformation. When users scan the code for traceability, the products manual and warranty card information are instantly displayed electronically. This not only eliminates the need for paper procurement, printing, layout, and storage management, significantly cutting costs, but also aligns with the goals of carbon neutrality and peak carbon emissions, reducing resource consumption and carbon emissions, thus promoting green development. Additionally, electronic information is easy to update and maintain, allowing companies to upload the latest versions at any time, ensuring users receive the most accurate content, thereby enhancing service quality and user experience.

Big screen data analysis

This platform has significant advantages in digital applications. Through the traceability query record, the COMPACT of consumers scanning the code can be clearly presented, and enterprises can timely understand the product attention and market feedback accordingly. The regional heat map of traceability query intuitively presents the scanning heat of different regions, helping enterprises to accurately locate key markets, rationally allocate resources and optimize marketing strategies. The large-screen traceability data cockpit integrates multi-dimensional data, such as the number of traceable goods, commodity flow map, inventory warning, etc., so that enterprise managers can grasp the overall situation in real time, identify trends and problems based on data insights, make scientific decisions quickly, improve operational efficiency and market competitiveness, and realize the efficient transformation from data to value.

Big screen data analysis

This platform has significant advantages in digital applications. Through the traceability query record, the COMPACT of consumers scanning the code can be clearly presented, and enterprises can timely understand the product attention and market feedback accordingly. The regional heat map of traceability query intuitively presents the scanning heat of different regions, helping enterprises to accurately locate key markets, rationally allocate resources and optimize marketing strategies. The large-screen traceability data cockpit integrates multi-dimensional data, such as the number of traceable goods, commodity flow map, inventory warning, etc., so that enterprise managers can grasp the overall situation in real time, identify trends and problems based on data insights, make scientific decisions quickly, improve operational efficiency and market competitiveness, and realize the efficient transformation from data to value.

The application of artificial intelligence technology

In the digital economy era, companies face the dual challenges of inefficient knowledge management and fragmented service experiences. The integration and application of AI technology are reshaping this landscape. By constructing knowledge graphs, enhancing large language model understanding and retrieval generation technologies, companies can build intelligent knowledge hubs that enable unified parsing, semantic search, and permission control of multi-format documents, thereby increasing knowledge acquisition efficiency by more than five times.

At the same time, the AI customer service system integrates natural language processing and machine learning to provide 7x24 hours of multi-channel standardized services, reducing response speed from hours to seconds, and increasing customer satisfaction by 40%.

Our AI-driven knowledge service model not only addresses the challenges of accumulating and passing down corporate knowledge assets but also enhances user service experiences through intelligent interaction, serving as a core cognitive engine for digital transformation. This model has already achieved significant success in sectors such as finance, manufacturing, and healthcare, helping companies reduce operational costs by 50% while significantly improving service quality and decision-making efficiency.

AI knowledge base

AI Knowledge Base Platform (KMS) is a private enterprise-level knowledge management platform based on B/S architecture, which deeply integrates knowledge graph, RAG and LLM technology to build an intelligent question and answer hub for enterprises. The system supports the intelligent parsing of over 15 file formats, including PDF, Word, Excel, ofd, txt, md, html, png, jpg, and webp, and offers customized document parsing template development services. Given the diverse structures and formats of knowledge documents across different enterprises, a single large model is insufficient for complex knowledge parsing. Therefore, KMS supports a multi-model foundation, seamlessly integrating with mainstream large language models such as DeepSeek-V3 and Qwen2.5. By combining knowledge graph semantic understanding with RAG-enhanced retrieval technology, KMS achieves industry-leading Q&A accuracy. The systems dual-layer architecture, integrating an enterprise-level knowledge base and a personal knowledge space, supports organizational-level permission management (open to all employees, departments, or roles) and personalized knowledge management for employees. It is equipped with multi-round dialogue engines and cross-document reasoning capabilities, meeting the intelligent Q&A needs of complex business scenarios. With a full-stack private deployment solution and military-grade data encryption, KMS ensures the security of enterprise knowledge assets while achieving an 80% increase in intelligent Q&A response speed and a 5-fold improvement in knowledge retrieval efficiency. This helps enterprises reduce deployment costs by 60% and maintenance investments by 40%, effectively building digital knowledge graphs, preventing the loss of core experiences, and providing cross-regional knowledge sharing, technical document management, intelligent customer service hubs, and standards for group enterprises, R&D institutions, service organizations, and manufacturing enterprisesStandardization operation support drives enterprise knowledge innovation and continuous upgrading of competitive advantage.

AI knowledge base

AI Knowledge Base Platform (KMS) is a private enterprise-level knowledge management platform based on B/S architecture, which deeply integrates knowledge graph, RAG and LLM technology to build an intelligent question and answer hub for enterprises. The system supports the intelligent parsing of over 15 file formats, including PDF, Word, Excel, ofd, txt, md, html, png, jpg, and webp, and offers customized document parsing template development services. Given the diverse structures and formats of knowledge documents across different enterprises, a single large model is insufficient for complex knowledge parsing. Therefore, KMS supports a multi-model foundation, seamlessly integrating with mainstream large language models such as DeepSeek-V3 and Qwen2.5. By combining knowledge graph semantic understanding with RAG-enhanced retrieval technology, KMS achieves industry-leading Q&A accuracy. The systems dual-layer architecture, integrating an enterprise-level knowledge base and a personal knowledge space, supports organizational-level permission management (open to all employees, departments, or roles) and personalized knowledge management for employees. It is equipped with multi-round dialogue engines and cross-document reasoning capabilities, meeting the intelligent Q&A needs of complex business scenarios. With a full-stack private deployment solution and military-grade data encryption, KMS ensures the security of enterprise knowledge assets while achieving an 80% increase in intelligent Q&A response speed and a 5-fold improvement in knowledge retrieval efficiency. This helps enterprises reduce deployment costs by 60% and maintenance investments by 40%, effectively building digital knowledge graphs, preventing the loss of core experiences, and providing cross-regional knowledge sharing, technical document management, intelligent customer service hubs, and standards for group enterprises, R&D institutions, service organizations, and manufacturing enterprisesStandardization operation support drives enterprise knowledge innovation and continuous upgrading of competitive advantage.

AI custom service

AI customer service is a system that leverages artificial intelligence technology to automate customer service. When applied in the AI customer service domain for guiding the use of traceability platforms, it can quickly and accurately find relevant usage information and provide personalized recommendations through its knowledge retrieval and recommendation capabilities. By using dialogue management functions, it answers user questions in a natural and fluent manner. Content creation assistance features efficiently generate standardized and easy-to-understand user guides. Through data analysis and mining, it analyzes user habits and common issues, continuously optimizing the guidance content to provide users with comprehensive, intelligent, and considerate guidance services for using traceability platforms.

AI custom service

AI customer service is a system that leverages artificial intelligence technology to automate customer service. When applied in the AI customer service domain for guiding the use of traceability platforms, it can quickly and accurately find relevant usage information and provide personalized recommendations through its knowledge retrieval and recommendation capabilities. By using dialogue management functions, it answers user questions in a natural and fluent manner. Content creation assistance features efficiently generate standardized and easy-to-understand user guides. Through data analysis and mining, it analyzes user habits and common issues, continuously optimizing the guidance content to provide users with comprehensive, intelligent, and considerate guidance services for using traceability platforms.

Product Center

Application Scenarios

Digitalize

The application of artificial intelligence technology