In 2025, the logistics industry is ushering in an intelligent revolution led by the DeepSeek big model. As a low-cost and high-performance AI model, DeepSeek's application in the logistics field has rapidly expanded, bringing new solutions for efficiency improvement, cost optimization, and service upgrades to the industry. The following are the main developments and application scenarios of the DeepSeek big model in the logistics industry:

 
1、The current promotion status of DeepSeek in the logistics industry

1. Top enterprises are the first to connect

Leading logistics companies such as SF Express, JD Logistics, and China Post have taken the lead in integrating into the DeepSeek big model and implementing technology in core business areas such as intelligent scheduling, warehouse management, and customer service.

2. Deployment of ports and logistics platforms in multiple locations

Hubei Port Group, Tianjin Port, Rizhao Port and other ports have completed the localization deployment of DeepSeek, which has been applied in scenarios such as intelligent booking, China Europe freight train information query, and port equipment management, significantly improving the efficiency of logistics resource allocation.

3. Collaborative upgrading of industry ecology

The low-cost feature of DeepSeek provides opportunities for small and medium-sized logistics enterprises to access AI technology, promoting the intelligent collaborative upgrading of the entire logistics ecosystem.

 2、Application scenarios of DeepSeek in the logistics industry

1. Intelligent scheduling and path optimization

DeepSeek generates optimal delivery routes by analyzing traffic data, weather information, and order demands in real-time, reducing empty driving rates and improving vehicle utilization. For example, SF Express used DeepSeek to optimize rider scheduling in the same city, achieving efficient matching between orders and transportation capacity.

2. Warehouse management automation

With the help of DeepSeek's image recognition and multimodal analysis technology, warehouse robots can automatically identify goods, optimize inventory layout, and achieve a transition from "people looking for goods" to "goods looking for people", significantly improving warehousing efficiency.

3. Intelligent customer service and customer service

DeepSeek's natural language processing technology can quickly respond to customer queries, automatically handle package anomalies, and provide solutions, enhancing the customer service experience.

4. Multimodal transportation and supply chain collaboration

DeepSeek integrates real-time data from multiple transportation modes, optimizes intermodal transportation plans, reduces transit waiting times, and combines blockchain technology to achieve digital document circulation, thereby improving the overall efficiency of the supply chain.

5. Unmanned delivery and last mile optimization

Enterprises such as SF Express are exploring the model of unmanned vehicle delivery and rider collaboration. DeepSeek provides intelligent path planning and resource allocation support, further improving the delivery efficiency of the "last mile".

3、The industry transformation brought about by DeepSeek promotion

1. Efficiency Revolution

The application of DeepSeek has significantly reduced the empty handling rate, warehousing costs, and delivery time in the logistics industry, promoting the overall efficiency improvement of the industry.

2. Cost optimization

The Morgan Stanley report points out that DeepSeek's training cost is only one thirtieth of ChatGPT, providing logistics companies with a cost-effective AI solution.

3. Intelligence and digital transformation  

The promotion of DeepSeek has accelerated the transformation of the logistics industry towards digitization and intelligence, providing an upgrade path from tool application to capability internalization for the industry.

4. Ecological synergy and standardization

By building an AI ecosystem alliance, logistics companies can jointly develop technical standards, promote industry collaboration, and avoid data silos and technological barriers.

4、Future prospects

With the continuous optimization of DeepSeek's large model and the expansion of its application scenarios, the logistics industry will usher in a more intelligent and efficient future. Enterprises need to have a clear understanding of the technological boundaries, deeply integrate AI advantages with industry needs, and strengthen ecological cooperation to jointly promote the sustainable development of the industry.