Transforming E-Commerce with Generative AI : Toward Intelligent Demand Forecasting and Adaptive Pricing

Authors

  • Arun Krishnakumar  Independent Researcher, USA

DOI:

https://doi.org/10.32628/IJSRST2295157

Keywords:

Generative AI, e-commerce, Demand Forecasting, Adaptive Pricing, Customer Personalization, Inventory Optimization, AI-Driven Algorithms, Data Privacy, Dynamic Pricing, Ethical AI

Abstract

Generative AI in e-commerce enhances demand forecasting and pricing strategies, improving operational efficiency and increasing customer satisfaction. This paper comprehensively overviews how generative AI adds value to intelligent demand forecasting and adaptive pricing models. It enables online businesses to predict consumer behavior and adjust prices dynamically. By analyzing key applications, this study highlights the advantages of AI-powered algorithms, including improvements in inventory management, adaptation to market fluctuations, and large-scale customer personalization. It also addresses ethical considerations, such as data privacy and transparency in AI-driven pricing, offering a well-rounded perspective on implementation This work supports the argument that generative AI provides a competitive edge, with extensive research findings from real-world applications helping to establish this.

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International Journal of Scientific Research in Science and Technology

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Published

2022-09-15

Issue

Volume 9, Issue 5, September-October-2022

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Arun Krishnakumar "Transforming E-Commerce with Generative AI : Toward Intelligent Demand Forecasting and Adaptive Pricing" International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011,Volume 9, Issue 5, pp.753-768, September-October-2022. Available at doi : https://doi.org/10.32628/IJSRST2295157