Air Cargo is one of the major modes of cargo transportation in the world. It is helping to transport goods swiftly across the globe during emergencies like pandemic, evacuation, and natural calamities etc. It plays a key role in economy of a country by exporting and importing goods across the globe. This business is growing every YOY with increase in demand for e-Commerce and globalization. It is also important to keep up the efficiency of the system as the business demand grows.
This paper focuses on Artificial Intelligence (AI) implementation can reduce the inefficiency and inconsistency due to the manual intervention in cargo operation in different areas. The major Implementation study area of AI in this paper include implementing in Cargo load planning to reduce the human dependency and error, ground handling with the help of autopiloting vehicle which can operate in any weather condition, sequence of loading Unit Load Devices (ULD’s) based on priority, operating control unit to move ULD in the Cargo deck , fixing ULD’s when it is stuck during operation and implementation of AI based predictive maintenance for the Cargo electrical and mechanical components and AI based design decision making in cargo LRU’s. The required data for AI implementation for the ground handling and cargo operation is collected from the existing system and Subject matter experts. It also generates more data after the implementation which can be continuously fed to model for the improvement.