It provides enterprises with digital collaborative services by using Insupr’s cloud edge end software-hardware integration capability, and breaks information barriers within and outside the enterprise, as well as those between departments to reduce communication costs, make data transparent and process paperless, which will further increase order execution rate, equipment comprehensive utilization rate, product quality, and overall operational efficiency of the enterprise. The production and operation cockpit is established to achieve real-time monitoring, early warning, unified scheduling, and closed-loop management of the production process. The scientific and accurate prediction decisions are made based on data transparency.
As an important component of the industrial and supply chain, the production efficiency and intelligence level of enterprises directly affect the collaborative efficiency of the entire supply chain. Digitization plays a decisive role in key production processes including raw material production and processing, procurement, logistics and warehousing, as well as key customers’ material kitting, production planning and scheduling, process execution, product quality and delivery cycle.
It is targeted at customers and upstream and downstream enterprises in the supply chain, providing digital and intelligent technology transformation services for key production processes that affect the overall operational efficiency of the supply chain. Digital services are provided in terms of order scheduling, production processing, equipment operation and maintenance management, quality management, energy management, comprehensive operation, and efficient collaboration with the support of Insupr’s cloud edge end software-hardware integration capability. It helps enterprises improve production efficiency and quality, reduce production costs, and facilitate high-quality development with low-cost and efficient digital services. The platform integrates Yunzhou identifier resolution and blockchain platform technology to achieve full lifecycle traceability and data trustworthiness of products from online to offline, optimizing the production process from different aspects involving production, quality, and equipment maintenance.