Evaluation of Artificial Intelligence Models and Wireless Network Applications for Enterprise Sales Management Innovation under the New Retail Format

Abstract

Enterprise sales are distinct from other types of technology sales. It refers to the procurement of big contracts that involve long sales cycles, multiple decision-makers, and a higher level of risk when compared to traditional sales. It has its very own way of doing the decision-making process. In the current age of Internet technology, almost every field has adapted or upgraded to Artificial Intelligence (AI) technology. Likewise, enterprise sales also use this vibrant technology to enrich the sales representatives' work. It does not mean that it affects the employees' jobs, but it makes them much more manageable. The New Retail Format is the concept of selling products through the blending of contexts of online and offline modes. Also, enterprise sales management defines the management of product sales in business-to-business (B2B) transactions. In this research, Fuzzy Multicriteria Decision-Making is used by the customer to choose various products in an enterprise sales store. Additionally, Particle Swarm Optimization is utilised in this application to monitor the stock (product) availability and sales of the available products between two larger organizations. In this article, the proposed model incorporates AI and Wireless Sensor Networks (WSN) for enterprise sales under a new retail format. In this research, Fuzzy Multicriteria Decision-Making with a Particle Swarm Optimization Algorithm is implemented to analyze the process of enterprise sales. The proposed algorithm is compared with the existing fuzzy clustering method. From the result, it is observed that the proposed algorithm has achieved 99.78%, whereas the existing system has given only 93.46% of accuracy.