J&T Express, a global logistics service provider, has integrated the DeepSeek large model to enhance human resource efficiency, standardize international parcel processes, and minimize training expenses. The company aims to leverage DeepSeek across the entire logistics chain and in various scenarios. DeepSeek, an open-source reasoning model grounded in reinforcement learning, offers cost-effectiveness, high efficiency, and multilingual support. Currently, J&T has deployed this model in diverse areas including human resources, customer service, and intelligent delivery assistants, significantly boosting work efficiency and refining the customer experience. Dedicated to driving global operational excellence through its proprietary technology system, J&T invested USD 48.9 million in R&D in 2024, fostering robust AI and algorithm capabilities. Moving forward, J&T intends to further broaden the application of AI large models, striving to establish comprehensive intelligent logistics solutions and deepen AI integration across various scenarios.