With rapid growth of e-commerce, inventory turnover management is critical to successful business maintenance and customer satisfaction in supply chain management, but traditional inventory auditing is time-consuming, labor-intensive and error-prone. According to IBM statistics, global retailers lose approximately US$634.1 billion annually because of out-of-stock items, empty shelves, and related inconsistencies. Technological advancement, digital transformation, and computational intelligence foster industrial growth in human-computer interactions and influence workplace with regard to safety, performance, and quality. To overcome labor shortages, reduce human errors and deliver reliable customer service, an AIoT-based Inventory Auditing and Surveillance Autonomous Mobile Robot (AMR) System, integrated with latest technologies such as Artificial Intelligence (AI) and Internet of Things (IoT), is proposed in this project. AIoT can translate the data from IoT devices or robots in physical world into valuable information in digital world by utilising AI techniques. The system is designed to perform physical inventory auditing and real-time inventory data is updated for just-in-time replenishment. It is also equipped with mobile surveillance functions to recognize human and identify specified objects from vision sensors. With the implementation of this system, businesses can increase efficiency and capture lost value using automated inventory monitoring, real-time point-of-sale data updating, and mobile surveillance function.