This proposal will propose a system, called "Logi-GPT", under collaboration between The Chinese University of Hong Kong and Smartmore, focusing on integrating Generative Pretrained Transformer (GPT) technology into Warehouse Management Systems (WMS) for the logistics industry. The primary objectives include enhancing inventory management and order fulfillment processes, optimising decision-making through data-driven insights, and improving customer service with GPT-powered chatbots. The initiative addresses critical challenges in the logistics sector, such as high knowledge thresholds, technological barriers, and inconsistent programming across different platforms. By leveraging GPT, the project aims to simplify interactions between logistics personnel and systems, converting complex data inputs and outputs into more accessible natural language formats. This integration promises to streamline operations, reduce labor and time costs associated with overcoming technological barriers, and improve the user experience in logistics operations. The project's successful implementation is anticipated to bring significant advancements in operational efficiency and user interface experience, setting a new standard in the logistics industry for technology-driven solutions.