Intelligent Agent-Based Predict System With Cloud Computing for Enterprise Service Platform in IoT Environment

If the product supply shortage during the sales period, customers will turn to other company, so the enterprise will shortage the sales opportunity. The enterprise can predict product demands, and manages the product sales. To use the supply chain management prediction system to improve the bottleneck of the inventory; thus, the hot sales product has more critical time utilization and the inventory status reflected quickly in Internet of Things (IoT). Because replenishment model cannot show the actual quantity of products on the store shelves. Therefore, this article proposed the intelligent agent-based predict system, that agent-based serves as framework to construct an integrated predict system, use radio frequency identification (RFID) technology to design the intelligent product predict shelf to extract products message, and the service oriented architecture to develop an predict information to provide the product as recommend customer services. The result of the paper, to propose an agent-based cloud computing service platform in IoT, and intelligent agents with SOA as backend cloud services. To build a prototype predict system with performance analysis. The results proved that the predict system architecture for intelligent agent-based predict system could increase operation performance and enhance effectively for customer service quality for hot sale products.

Automated summary

Enterprises should predict product demands and manage sales using supply chain management prediction system to improve bottleneck of inventory, increase critical time utilization for hot sales products, and quickly reflect inventory status.