Marketing information system based on unsupervised visual data to manage transportation industry using signal processing

Abstract

AbstractAdvance signal processing techniques are becoming one of the essential requirements for secure and efficient communication in the future innovative world. These requirements are due to the tremendous advancement of various latest cutting‐edge technologies that are very useful for the present generation. Marketing information system visualization is essential for the services of every advanced technology established in this way to reach people. Citing this, signal processing is a significant issue in most new technological innovations and challenges in various applications. A marketing information system, or MIS, based on these processes provides a valuable marketing method that helps marketers make better decisions. In this mode of operation, the existing methods are discarded, and the new methods, such as visual images, sound waves, and seismic waves, are implemented as digital signal processes, and their benefits are used as inputs for the processing of humankind. Based on this perspective, collaborative Management Information Systems (MIS) is proposed. This process‐based bridge enables MIS professionals to benefit from their investments in personnel, equipment, and business processes. In particular, transportation challenges such as total order intensity ratio, rising fuel prices, unexpected delays in transportation, shortage of skilled workers, deplorable warehouse conditions, insufficient and over‐stressed delivery staff, etc., and how road transport is giving its full attention to these fluctuations. Research paper explains very clearly and adequately explains the impact of such explained traffic problems, such as the volume of traffic and passengers, road network, lack of rehabilitation of half of the roads, and lack of national highways. Performance analysis for MIS measures with various factors is taken, and how the process varies in them and the answers to them are clarified through this research. This research citation shows how the marketing performance of an MIS measures the best practices in this research. Through this, online marketing performance based on MIS measures can be increased through MIS analysis reports for MIS measures. Finally, the Performance of the proposed MIS‐Transport with the MIS‐hospital Industry is taken as an example and explained.