Bahadure, Nilesh BhaskarraoNilesh BhaskarraoBahadureSingh, NeelamNeelamSinghPatni, Jagdish ChandraJagdish ChandraPatniDurge, RutujaRutujaDurgePipalatkar, ShailajaShailajaPipalatkarKhomane, RamdasRamdasKhomaneChoudhury, TanupriyaTanupriyaChoudhuryDeshmukh, SaumyaSaumyaDeshmukh2025-05-022025-05-022024pp. 230-2349798350353266https://doi.org/10.1109/ETNCC63262.2024.10767541https://gnanaganga.alliance.edu.in/handle/123456789/7417Launching a new product in the market and then getting reviews about the product so that the feasibility of the product can be planned accordingly mainly depends on the survey information or data from the sources. Here, decision-making plays a significant contribution, and this is where demand prediction comes into the picture. Demand prediction will not only help in planning the business and optimizing the operations but will also help get more information about the product's performance in the market. This study mainly focuses on how machine learning algorithms and other techniques can be used to predict the demand for the product. The model proposed in this study can enhance decision-making and efficiency and lead to high-standard market performance. © 2024 IEEE.enBusiness PlanningMachine LearningMarket PerformanceOptimizing OperationsArticle