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ISSN 2063-5346
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DYNAMIC PRICING ANALYSIS FOR INDUSTRY4.0 USING NEURAL NETWORK

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1Chetana Tukkoji, 2Sandhya Guruswamy, 3Spoorthi T, 4Boosi Shyamala, 5Archana S Nadhan, 6Sandhya Rani Nallola, 7Saritha A. K
» doi: 10.48047/ecb/2023.12.10.134

Abstract

The Work We Do is Feature Engineering with Dynamic Pricing. Over the past five years, online shopping has grown significantly, increasing demand for and competition among superior products. To ensure greater profit, it is important to understand the appropriate price for a product. Continuous study and price forecasting based on the variables that influence a product's price can be quite helpful in this regard. Over the past decade, improvements in machine learning and natural language analysis have introduced a wealth of new prospects and methods for price prediction

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