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From the perspective of the logistics industry, an efficient distribution system is one of its core competitiveness. Overseas express delivery to door service, as an important link, its operation mode and service quality directly affect the consumer experience. Behind this, it involves not only the optimization of transportation tools and storage facilities, but also a high degree of reliance on information processing and data analysis capabilities.

Take the "exogenous complexity-based" general artificial intelligence path as an example. The computational problems it faces, such as large-scale data processing and complex model training, are similar to logistics route planning in the express delivery industry. In express delivery, how to formulate the optimal delivery route based on many factors such as the recipient's address, the characteristics of the goods, and transportation conditions to achieve fast, accurate and low-cost delivery requires the analysis and calculation of a large amount of data.

Similarly, in overseas express delivery services, the consideration of various complex factors such as laws and regulations, cultural differences, and customs requirements in different countries and regions is also a problem that general artificial intelligence needs to solve when facing exogenous complexity. For example, some countries have strict restrictions and inspection standards for the import of specific goods, which requires express delivery companies to make accurate judgments and preparations before shipment to avoid packages being detained or delayed.

In addition, as consumer demands continue to change and upgrade, express delivery services are also constantly innovating and improving. For example, real-time logistics tracking services are provided, allowing consumers to understand the location and status of packages anytime and anywhere. This relies on advanced positioning technology and data transmission technology, which are similar to the data collection and processing technology in general artificial intelligence.

In future development, the research results of general artificial intelligence based on exogenous complexity may bring new breakthroughs to the express delivery industry. For example, by predicting market demand through intelligent algorithms, inventory and distribution strategies can be adjusted in advance to improve service efficiency and quality. In turn, the experience and data accumulated by the express delivery industry in dealing with various complex situations may also provide valuable reference and inspiration for the research of general artificial intelligence.

In short, although on the surface, the general artificial intelligence path based on exogenous complexity and overseas express delivery services belong to different fields, in-depth exploration will reveal that they have many areas for mutual learning and integration in dealing with complex problems, optimizing resource allocation, and improving service levels. This not only opens up new ideas for their respective development, but also injects new impetus into the progress of the entire society.