Exploration of the Application of Large Language Models in Logistics Path Planning

The rapid development of LLM (Large Language Model) has brought new opportunities and challenges to the logistics industry. To solve the issue of difficult pick-up and delivery tasks, LLM, such as ChatGPT, can be applied to provide fast route planning services for business users. Firstly, this paper introduces the overall framework of LLM and business user interaction, pointing out the existence of business pain points. Then we elaborate on applying LLM in logistics and distribution scenarios, where users interact with LLM through prompts to achieve faster responses. Furthermore, the response of LLM to users considering factors such as road conditions and weather was also explored. The analysis of the application of LLM in logistics path planning better reflects the significant advantages and potential of using large models in logistics path planning.