Data mining is the process of extracting meaningful information from large amounts of data. Through data mining methods, organizations can discover hidden patterns, relationships, and trends in data, which they can use to solve business problems, make predictions, and increase profits or efficiency. The term “data mining” is actually one. The integration of data mining techniques with decision support systems to help manage information overload has received increased attention and importance in recent years. Our view regarding the usefulness of intelligent agent technology for DSS is shared by a growing number of DSS, Structure of Intelligent Agent. The intelligent agent framework combines the agent function, architecture and agent program. Agent, Architecture, Agent Program. The three entities are described below. 1. Architecture: The architecture is the machinery on which the agent executes its action. It is basically a device with built-in actuators. The information processing of the proposed decision support system DSS is carried out through the use of an IoT-based smart manufacturing data mining model. data mining technology is capable of this.