基于需求价格弹性方法的机器学习产品价格推断

K. K.Vengatesan, Raghvendra Vijay Naidu, Kunal Joshi, Chaitanya Tekane, Siddhant Ravindra Gore
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引用次数: 0

摘要

在印度有很多生产和制造业,每次对任何新产品或现有产品的价格固定都会考虑许多因素。确定任何产品的价格都涉及许多参数。在市场价格固定由各种参数组成,在确定任何产品的价格价值之前,这将基于任何产品的市场需求,并且客户行为也可能根据购买日期而变化。在本文提出的工作中,我们需要使用机器学习算法优化价格产品,以及如何有效地增加任何产品的证明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Based Product Price Inference Using Price Elasticity of Demand Approach
In India lot of production and manufacturing industries are there, every time the price fixing to any new or existing product is considered many factors. Many parameters are involved to fix the price of any product. In market price fixing consists of various parameters, before finalize price value of any product, that will be based on the market demand of any product, and customer behavior also may be vary based on the day of purchasing in this proposed work we need to optimization of price product using machine learning algorithm and how effectively increase the proof of any product.
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