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Taking the distribution link in the logistics industry as an example, the application of big data and artificial intelligence has optimized the distribution route, reduced costs and improved efficiency. At the same time, the Internet of Things technology makes the tracking and monitoring of goods more accurate, and customers can understand the location and status of items in real time.

However, while new technologies bring convenience, they also bring some challenges. For example, data security issues are becoming increasingly prominent, and the protection of customer information has become an important issue. In addition, the rapid update of technology has also put forward higher requirements on the skills of logistics practitioners, who need to continue to learn to adapt to the new working model.

In the wave of science and technology, logistics companies are also constantly exploring new business models. For example, some companies integrate idle logistics resources in society through the concept of sharing economy to maximize the utilization of resources. This model not only reduces operating costs, but also provides an additional source of income for some individual practitioners.

In short, the development of science and technology has injected strong impetus into the logistics industry, prompting it to continuously upgrade and improve, but it also needs to properly respond to various challenges in the development process in order to achieve sustainable development.