Smart Product Marketing Strategy in a Cloud Service Wireless Network Based on SWOT Analysis

Abstract

Wireless network systems have multiplied, and mobile communication systems have grown. This article is aimed at developing a cloud-based service wireless network system to smartly market products online. It makes use of cloud services combined with various technologies of the wireless network system. An intelligent product is a device connected to the Internet via sharing information with its users. The usage of smart products has increased day by day, resulting in increased production numbers by various companies. Here, Arises a problem of marketing among huge competition all the manufactured products. So, a marketing strategy has to be designed to market the products. This marketing task can be done using cloud computing services. Cloud computing refers to accessing various computing applications online, such as storing and accessing data, servers, software, databases, and networking. Users can store and access data from a remote server, and there is no need to store it on one’s computer hard disc. Large clouds have data centers located at various locations. Data and computing services are available on-demand, whenever they are needed. With the help of a SWOT analysis, this article will investigate smart product marketing strategies in cloud service wireless network systems. The advantages and disadvantages of using the cloud service wireless network system are analyzed based on SWOT analysis. A technically detailed analysis is done by identifying its strengths (S), weaknesses (W), opportunities (O), and threats (T), considering various aspects. In this research, smart product marketing analysis with SWOT is performed to implement a novel hybrid algorithm with the Smart Product Marketing Crisis Prediction (SPMCP) method. For the Smart Product Marketing application, the proposed method is compared with the Ant Colony Optimization (ACO) and has obtained a higher accuracy of 99.54%.