Global trends and problems in developing cyber-physical-social systems for smart supply chains were the focus of this research. Cyber-physical-social systems are those that are intelligently networked and include sensors, embedded processors, and actuators that can detect and respond to physical elements and human users. An intelligent supply chain is one that makes use of data analytics and cutting-edge technology to improve responsiveness, visibility, and efficiency.  Cyber-physical-social-systems is data-driven technology that regulates supply chains via the use of AI, robots, the internet of things (IoT), and drones to enhance supply chain quantity and quality while decreasing the workforce’s workload. Smart farming involves a number of actions, including as monitoring soil and crops, managing humidity, automatically detecting diseases, preventing fungal infections, irrigating crops at the right time, recommending fertilizer, and keeping check on animals. The topic of smart farming, including the internet of things and its potential applications, was covered. Based on the Technology Acceptance Model (TAM), this research was conducted. Highlighted and described as well were global trends and problems in developing cyber-physical-social systems for smart supply chains. Finally, smart supply chain applications of cyber-physical-social systems provide a plethora of chances to transform supply chain methods. Researchers concluded that the best way to safeguard individuals’ private information and stop it from falling into the wrong hands is to create normative legal papers.

 Keywords: Cyber-Physical-Social Systems, Smart Supply Chains, Artificial Intelligence, Internet of Things