The Digital Supply Chain Execution Platform, built through cloud-native, microservices, low-code, big data, and AI algorithms, operates under an architectural strategy of "Digital Capability Service Platform + Digital Application Platform". This integrated digital supply chain management platform includes a business middleware, order collaboration OMS, intelligent warehousing WMS, smart transportation TMS, full-chain billing service BMS, intelligent scheduling YMS, and other products such as the Supply Chain Control Layer (UPSeek) and Digital Capability Integration Platform (UPCloud Integration). The platform serves customers in major health, smart manufacturing, commercial circulation, and their corresponding sub-industries, empowering businesses for a digital upgrade of their supply chains.
UPSeekSupply Chain Logistics Digital Control Tower
The UPSeek Supply Chain Logistics Digital Control Tower is built on big data, AI, and a low-code platform, establishing a digital control tower that supports smart logistics across multiple industries and enterprises for data access. It connects the entire logistics chain data, providing enterprises with comprehensive visibility of orders, inventory, and resources. Additionally, it monitors real-time operational data, diagnoses issues, and performs feature analysis, operational evaluation, and decision-making support based on historical data. This creates a real-time digital optimization and decision center, helping enterprises achieve efficient, low-cost, and healthy operations.
UPSeek Framework
The UPSeek Supply Chain Logistics Digital Control Tower is data-centric, integrating three core components: business platform, data processing, and data analysis. It offers real-time business status monitoring, health evaluation of key indicators, and deep insights into business operational performance through data visualization. Relying on digital modeling, scenario simulation, and solution optimization, it provides comprehensive business insights and decision support, empowering enterprises to achieve refined management and continuous innovation.
Core Advantages
Application
Cross-Platform Data Integration and Real-Time Monitoring Alerts
The control tower seamlessly integrates data from multiple business platforms, achieving centralized data management and efficient utilization. With real-time monitoring and alert functions, enterprises can instantly grasp operational statuses, promptly identify and address anomalies, and ensure stable business operations.
Self-Service Data Exploration and Business Insights
The control tower enables users to explore and analyze data through simple operations. Without the need for professional data analysis skills, users can easily unlock the value hidden in data and gain profound insights into their business.
Data-Driven Decision Support and Optimization
The control tower not only provides data monitoring and exploration capabilities but also supports various decision-making scenarios through algorithm optimization and modeling analysis. It delivers precise data analysis results and aids in the formulation of strategic planning and implementation solutions.
UPVision Prolog Platform: Visual Connections, AI Efficiency Enhancement.
Leveraging artificial intelligence vision technology, the platform simulates human visual functions to recognize, analyze, understand, and process images and video data. With proprietary algorithms for visual recognition and barcode collection, visual counting, visual measurement, video motion detection, visual-assisted product verification, visual-assisted product sorting, and visual-guided robotic arm for unstructured depalletizing, it empowers various micro-scenes in the logistics industry to reduce costs and increase efficiency.
Application
3D Visual Measurement: High-precision acquisition of three-dimensional data
Automatically captures and uploads data on object dimensions and shapes, enhancing the accuracy of foundational data, improving measurement efficiency, and saving on labor costs and time.
Visual recognition and counting enable scenarios such as item identification and item sorting
Through visual technologies, precise identification and counting of item appearances are achieved, automating and smartening micro-scene workflows, enhancing operational efficiency, reducing personnel costs, and lowering error rates in operations.
Visual motion detection and voice recognition assist in platform sorting
Video analysis, pedestrian tracking, motion detection, and voice recognition help operators accurately sort items at the platform collection area, improving sorting accuracy and lowering the barrier to use for personnel
EIS Warehouse Intelligent Equipment Integration Control System
EIS is an integrated system for warehouse equipment and operation execution, taking over WMS order tasks to liberate the WMS, allowing it to focus more on business processing. The key aspect of the system is to solve the interconnectivity and interoperability issues between systems and devices. It addresses the interfaces, protocols, system platforms, and application software discrepancies among various devices and subsystems, utilizing scheduling algorithms to achieve intelligent operation of equipment.
Prolog, through software definition and data-driven methods, s virtual entities in the digital space that mirror physical entities in a 1:1 mapping relationship. This setup allows for the entire lifecycle management of logistics systems—planning, debugging, operations, and optimization. It encompasses data collection, model creation, algorithmic deduction, state awareness, real-time analysis, precise execution, and predictive optimization, achieving a smart system capable of autonomous decision-making and learning enhancements.
Digital Twin Framework
Prolog's smart logistics digital twin solution includes a digital twin development platform, an IoT integration platform, and a digital twin application platform. These components establish a digital twin service system that is perceptive, connectable, and schedulable. It enables real-time optimization of physical world supply chain operations, helping clients establish an intelligent supply chain with full-link perception, dynamic accuracy, and rapid response, thus crafting an always-online operational system.
UPAIOT, the Apu Internet of Things technology platform, provides secure and reliable device connectivity and communication capabilities.
1、The platform interfaces with various devices, sensors, and third-party systems through IoT gateways, consolidating data and integrating with different systems to provide data sources and service support for upper-level business operations.
2、Employing a unified data transmission protocol, the platform shields upper-layer applications from the disparities in device types and system data integration, reducing the complexity of device and system data interfacing and enhancing integration efficiency.
3、With stable and reliable data collection and storage capabilities, the platform facilitates the storage of and real-time access to massive amounts of device data, providing a solid foundation for device data analysis and digital operation and maintenance management.
UPAIOT Framework
As an application enablement platform, UPAIOT offers IoT developers tools for application development, backend technical support, middleware, business logic engines, API interfaces, and user interfaces, enabling developers to rapidly develop, deploy, and manage without concern for underlying details.
Core Advantages
Application
Intelligent factory or smart warehousing equipment control
The IoT platform interfaces with device systems to implement automated equipment scheduling and coordination among multiple devices.
Digital twin real-time data collection and monitoring scenarios
By collecting and analyzing real-time data from production lines, the IoT platform can help factories increase production efficiency and reduce costs.
Predictive maintenance of smart devices
The platform can track and manage equipment, machines, and assets within the supply chain, monitor the operational status and maintenance needs of devices in real time, optimize resource utilization, implement predictive maintenance, reduce failure rates, and enhance equipment efficiency.
The Digital Supply Chain Execution Platform, built through cloud-native, microservices, low-code, big data, and AI algorithms, operates under an architectural strategy of "Digital Capability Service Platform + Digital Application Platform". This integrated digital supply chain management platform includes a business middleware, order collaboration OMS, intelligent warehousing WMS, smart transportation TMS, full-chain billing service BMS, intelligent scheduling YMS, and other products such as the Supply Chain Control Layer (UPSeek) and Digital Capability Integration Platform (UPCloud Integration). The platform serves customers in major health, smart manufacturing, commercial circulation, and their corresponding sub-industries, empowering businesses for a digital upgrade of their supply chains.
UPSeekSupply Chain Logistics Digital Control Tower
The UPSeek Supply Chain Logistics Digital Control Tower is built on big data, AI, and a low-code platform, establishing a digital control tower that supports smart logistics across multiple industries and enterprises for data access. It connects the entire logistics chain data, providing enterprises with comprehensive visibility of orders, inventory, and resources. Additionally, it monitors real-time operational data, diagnoses issues, and performs feature analysis, operational evaluation, and decision-making support based on historical data. This creates a real-time digital optimization and decision center, helping enterprises achieve efficient, low-cost, and healthy operations.
UPSeek Framework
The UPSeek Supply Chain Logistics Digital Control Tower is data-centric, integrating three core components: business platform, data processing, and data analysis. It offers real-time business status monitoring, health evaluation of key indicators, and deep insights into business operational performance through data visualization. Relying on digital modeling, scenario simulation, and solution optimization, it provides comprehensive business insights and decision support, empowering enterprises to achieve refined management and continuous innovation.
Core Advantages
Application
Cross-Platform Data Integration and Real-Time Monitoring Alerts
The control tower seamlessly integrates data from multiple business platforms, achieving centralized data management and efficient utilization. With real-time monitoring and alert functions, enterprises can instantly grasp operational statuses, promptly identify and address anomalies, and ensure stable business operations.
Self-Service Data Exploration and Business Insights
The control tower enables users to explore and analyze data through simple operations. Without the need for professional data analysis skills, users can easily unlock the value hidden in data and gain profound insights into their business.
Data-Driven Decision Support and Optimization
The control tower not only provides data monitoring and exploration capabilities but also supports various decision-making scenarios through algorithm optimization and modeling analysis. It delivers precise data analysis results and aids in the formulation of strategic planning and implementation solutions.
UPVision Prolog Platform: Visual Connections, AI Efficiency Enhancement.
Leveraging artificial intelligence vision technology, the platform simulates human visual functions to recognize, analyze, understand, and process images and video data. With proprietary algorithms for visual recognition and barcode collection, visual counting, visual measurement, video motion detection, visual-assisted product verification, visual-assisted product sorting, and visual-guided robotic arm for unstructured depalletizing, it empowers various micro-scenes in the logistics industry to reduce costs and increase efficiency.
Application
3D Visual Measurement: High-precision acquisition of three-dimensional data
Automatically captures and uploads data on object dimensions and shapes, enhancing the accuracy of foundational data, improving measurement efficiency, and saving on labor costs and time.
Visual recognition and counting enable scenarios such as item identification and item sorting
Through visual technologies, precise identification and counting of item appearances are achieved, automating and smartening micro-scene workflows, enhancing operational efficiency, reducing personnel costs, and lowering error rates in operations.
Visual motion detection and voice recognition assist in platform sorting
Video analysis, pedestrian tracking, motion detection, and voice recognition help operators accurately sort items at the platform collection area, improving sorting accuracy and lowering the barrier to use for personnel
EIS Warehouse Intelligent Equipment Integration Control System
EIS is an integrated system for warehouse equipment and operation execution, taking over WMS order tasks to liberate the WMS, allowing it to focus more on business processing. The key aspect of the system is to solve the interconnectivity and interoperability issues between systems and devices. It addresses the interfaces, protocols, system platforms, and application software discrepancies among various devices and subsystems, utilizing scheduling algorithms to achieve intelligent operation of equipment.
Digital Twin
Prolog, through software definition and data-driven methods, s virtual entities in the digital space that mirror physical entities in a 1:1 mapping relationship. This setup allows for the entire lifecycle management of logistics systems—planning, debugging, operations, and optimization. It encompasses data collection, model creation, algorithmic deduction, state awareness, real-time analysis, precise execution, and predictive optimization, achieving a smart system capable of autonomous decision-making and learning enhancements.
UPAIOT, the Apu Internet of Things technology platform, provides secure and reliable device connectivity and communication capabilities.
1、The platform interfaces with various devices, sensors, and third-party systems through IoT gateways, consolidating data and integrating with different systems to provide data sources and service support for upper-level business operations.
2、Employing a unified data transmission protocol, the platform shields upper-layer applications from the disparities in device types and system data integration, reducing the complexity of device and system data interfacing and enhancing integration efficiency.
3、With stable and reliable data collection and storage capabilities, the platform facilitates the storage of and real-time access to massive amounts of device data, providing a solid foundation for device data analysis and digital operation and maintenance management.
UPAIOT Framework
Core Advantages
Application
Intelligent factory or smart warehousing equipment control
The IoT platform interfaces with device systems to implement automated equipment scheduling and coordination among multiple devices.
Digital twin real-time data collection and monitoring scenarios
By collecting and analyzing real-time data from production lines, the IoT platform can help factories increase production efficiency and reduce costs.
Predictive maintenance of smart devices
The platform can track and manage equipment, machines, and assets within the supply chain, monitor the operational status and maintenance needs of devices in real time, optimize resource utilization, implement predictive maintenance, reduce failure rates, and enhance equipment efficiency.
Distribution 
Cold Chain 
Trade 
New Energy 
Manufacturing 
Production 
