Leveraging Machine Learning for Consumer Purchase Behaviour Analysis: Influence of Online Reviews on E-Commerce Decisions in Electronics and Electrical Markets

People mostly use e-commerce platforms to search for, evaluate, and eventually buy things. Machine learning (ML) is a rapidly developing field that appears to be a desirable substitute for statistical techniques across a range of sectors. This study suggests an understanding of the potential uses of ML in eCommerce and digital marketing. This paper gives a deliberate assessment of the utilization of AI in online business to foresee buyer buy choices, recognize commitment factors, and further develop UIs. The examination researches the capability of AI calculations to foresee purchaser inclinations, accelerate the checkout technique, and produce a more redone shopping experience. As web-based business propels, the concentrate additionally analyzes the difficulties and moral pickles related with artificial intelligence-controlled customization. To give a complete comprehension of the more extensive ramifications of man-made intelligence in forming shopper conduct, points including information protection, predisposition in calculations, and the scarce difference among personalization and nosiness are explored. Our review plans to more readily comprehend what shoppers explore internet business sites and how this means for their choices to purchase. We use AI approaches since we comprehend that buyer conduct is diverse and dynamic. These strategies permit us to deal with convoluted information structures and reveal stowed away examples in the information, which upgrades how we might interpret the components driving purchaser conduct.