AI in Supply Chain Analytics: Adaptive Decisioning via Fuzzy Behavioral Models

This paper uses fuzzy logic to make intelligent agents that can show stupidity and context awareness in a simulation of operational environment. Focusing on dynamic interactions, the fuzzy inference system will help agents to change their behaviour according to factors that are increasing namely proximity, over-speed and environmental factors. The way the author explains is going to help develop responsive and resilient decision making automated components. These components will be able to optimize complex multi-stakeholder systems and will certainly be useful in modern supply chain systems. The study noted that AI can be used to increase logistics and inventory management flexibility and reactivity. Moreover, it was noted for both technical and practical.