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At the same time, the logistics industry is also undergoing profound changes. Although it may not seem to be directly related to commercial AI on the surface, a deeper analysis will reveal that the logic and development trends behind it are inextricably linked. Improving the service quality and efficiency of the logistics industry is the key to meeting the growing consumer demand and global trade.

In logistics services, the door-to-door delivery model has gradually become the mainstream. It not only facilitates consumers, but also puts higher demands on the operation and management of logistics companies. How to ensure that goods are delivered to customers accurately, timely and safely is a problem that every logistics company needs to think about. The development of commercial AI provides new ideas and methods for solving these problems.

For example, through big data analysis and artificial intelligence algorithms, logistics companies can more accurately predict market demand, optimize storage layout and distribution routes, thereby improving logistics efficiency and reducing operating costs. At the same time, the intelligent logistics system can also monitor the transportation status of goods in real time, promptly discover and solve potential problems, and improve service quality and customer satisfaction.

The application of commercial AI in the field of logistics is not limited to the link of express delivery to the door. It has broad application prospects in supply chain management, cargo sorting, logistics risk management, etc. Through intelligent means, logistics companies can optimize the allocation of resources, improve the operating efficiency of the entire supply chain, and enhance the competitiveness of enterprises.

However, the application of commercial AI in the logistics industry is not all smooth sailing. The introduction of technology requires a lot of capital investment and talent training, and also faces issues such as data security and privacy protection. In addition, due to the complexity and diversity of the logistics industry, how to perfectly combine commercial AI technology with actual business scenarios is also a process that requires continuous exploration and practice.

However, it is undeniable that the opportunities brought by commercial AI to the logistics industry far outweigh the challenges. With the continuous advancement of technology and the deepening of its application, we have reason to believe that the future logistics industry will achieve more efficient, intelligent and green development driven by commercial AI, and make greater contributions to the prosperity of the global economy.

Back to the door-to-door delivery service model, the application of commercial AI can make it more complete and convenient. For example, through the intelligent customer service system, consumers can check the progress and related information of the delivery at any time to resolve questions and complaints. For logistics companies, the use of commercial AI can better manage the work of couriers and improve the accuracy and timeliness of delivery.

In short, the business AI concept discussed at the 2024 SAP China Summit on August 14 has pointed out the direction and injected new impetus for the development of the logistics industry, especially the express delivery service model. We look forward to seeing more innovations and breakthroughs in the future, making logistics services more high-quality and efficient, and meeting people's growing needs for a better life.