The Impact of the Live Delivery of Goods on Consumers' Purchasing Behaviour in Complex Situations Based on Artificial...

With the development of information technology, the purchase of goods online has acquired a different dimension. This type of online purchase has made life easier for individuals by reducing the time required to travel and purchase. This online purchasing and delivery of goods or products follow the concept of supply chain management. Mobile Internet, tracking sensors, and tags that aid in tracking processes are used in online supply chain management. For data transfer and status updates, these devices rely on wireless sensor networking technology. This research analyses consumer behaviour after the delivery of goods using wireless sensor networks and artificial intelligence. This behaviour analysis focuses on whether the consumer is satisfied with the product in complex situations or not. The analysis is performed with the Differential-Evolutionary Multiobjective Optimization (D-EMO) algorithm with the aid of artificial intelligence. The proposed system's results were compared with the existing random forest algorithm, and it was observed that the proposed system had provided a 5% increase in accuracy.