NEWS

Recently, the Ministry of Industry and Information Technology issued the "Reference Guidelines for Typical Scenarios of Intelligent Manufacturing (2025 Edition)", providing comprehensive guidance and implementation paths for the digital transformation and upgrading of the manufacturing industry. This policy document takes the entire product lifecycle, production and manufacturing process, and supply chain as the context, systematically sorting out 40 typical scenarios of intelligent manufacturing in 8 major links. It explicitly mentions the scenario planning in the field of intelligent warehousing  and logistics, providing a practical path for manufacturing enterprises to break through the bottleneck of warehousing efficiency and accelerate digital transformation.

Policy decoding: Intelligent warehousing and logistics become key nodes for transformation

In the production management process, the "Guidelines" policy points out the problems that exist in traditional warehousing and logistics, such as low efficiency of inbound and outbound, high inventory costs, insufficient space utilization, untimely material distribution, and unreasonable path planning. In response to these long-standing pain points that have plagued enterprises, it is explicitly proposed that manufacturing enterprises should build advanced warehousing and logistics technologies such as automated three-dimensional warehouses, intelligent conveying equipment, intelligent sorting equipment, and intelligent warehousing management systems to optimize warehousing strategies and improve inventory turnover, space utilization, and logistics conveying efficiency. At the same time, unmanned and less manned operating environments can further improve the level of warehousing safety operations and reduce the overall operating costs of enterprises; In the supply chain management process, "intelligent distribution of supply chain logistics" has been included as a key scenario, achieving full logistics tracking through warehouse network planning, intelligent path planning and other technologies, and promoting the overall improvement of supply chain efficiency.

In addition, in the operation and management process, it is emphasized once again to rely on advanced technologies such as 5G, big data, cloud computing, and digital twins to comprehensively and comprehensively collect, analyze, and optimize enterprise production and operation data, achieve intelligent business decision-making and lean management, and improve enterprise operating efficiency.

Hand in Hand: Supporting the Implementation of Manufacturing Industry Transformation and Upgrading Path

As a professional provider of comprehensive intelligent warehousing solutions, Zhongjian Intelligence feels a great responsibility and also sees unlimited opportunities. With years of deep cultivation and meticulous work in the field of intelligent warehousing, we have accumulated rich experience and professional technical capabilities, successfully helping over 1000 manufacturing enterprises achieve intelligent upgrades in their warehousing and logistics processes. Our solutions cover automated warehouse systems, intelligent conveying and sorting systems, and intelligent information management systems. From hardware facilities to software systems, from project planning to implementation and operation, we provide comprehensive and one-stop services for enterprises.

Zhongjian Intelligence deeply understands the logic behind the policy of "promoting systematic transformation through scenario based approaches" in this "Guidelines". Therefore, we call on more manufacturing enterprises to seize policy opportunities and find suitable digital upgrading solutions through the various links and paths provided in the "Guidelines". Zhongjian Intelligent is willing to work hand in hand with more manufacturing enterprises, fully leverage its own advantages, tailor the most suitable intelligent warehousing solutions for enterprises, help enterprises break through the bottleneck of warehousing management, achieve transformation and upgrading, and achieve high-quality development.