Abstract
Prediction client behavior in the context of ecommerce is becoming more and more important with the rapid growth in the number of internet transactions brought on by today's shift from visiting physical businesses to online purchasing. By enabling a more individualized shopping experience, it can boost consumer happiness and sales, resulting in improved conversion rates and a competitive edge. Therefore, being able to estimate customer purchases accurately has become a crucial tool for e-commerce businesses. Such data aids in the strategic choice-making during the manufacturing processes as well as the planning of the inventory at the warehouse and point of sale.
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