RETRACTED: Intelligent Decision Support System for Business Forecasting Using Artificial Intelligence (Retracted Article)

Business forecasting refers to the methods and strategies used to predict business trends, such as sales, expenditures, and profits. The purpose of business forecasting is to create better plans based on these informed predictions. Many businesses consider that it is imperative to obtain information about the future to ensure future organizational success. Enhancing forecasting progression can allow managers to make better decisions. Hence, in this study, artificial intelligence-assisted intelligent decision support system (AIIDSS) has been proposed for the business forecasting process. The current study discusses possible uses of forecasting in strategic decision making, mainly marketing, management. This paper aims to create a model that helps managers better understand this system's link to better forecasting .A decision support system (DSS), integrating the simulation models and the regular model base, components database, report, user interface, and graph services are discussed and outlined. This decision support system is easier to use than the most extensively utilized approach and does not rely too much on human judgment. The Smart Decision Support System (AIIDSS) for Artificial Intelligence was recommended for the company training algorithm. The potential applications of predictions is in policy decisions, particularly marketing and sales. The purpose is to design a framework that helps organizations recognize the connection. A recommendation system (RS) incorporates mathematical equation and the cosmological constant, database function, reporting, interface, and graphics services. This management information system is extremely easy to get and does not depend more and more on logical reasoning than even the most widely used methodology. The numerical results show that AIIDSS enhances the prediction ratio of 96.5%, accuracy ratio of 98.2%, production ratio of 98.35%, demand analysis ratio of 89.7% for business forecasting.