E-Commerce and AI: Product Recommendation and Pricing

Year : 2025 | Volume : 12 | Issue : 02 | Page : 37 45
    By

    Kazi Kutubuddin Sayyad Liyakat,

  1. Professor and Head, Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur, Maharashtra, India

Abstract

E-commerce has evolved from a simple online storefront to a complex ecosystem driven by data and demanding personalized experiences. In this highly competitive environment, businesses are continuously looking for new ways to entice and keep customers. Artificial intelligence is growing as an effective instrument, offering a multitude of applications that are transforming the e-commerce industry. This study will look at the important areas wherein AI is having a substantial impact, including improving customer experience, optimizing logistics, and increasing profitability. AI enhances e-commerce supply chain efficiency by precisely predicting demand, covering aspects like sourcing materials, managing inventory, and streamlining delivery. For instance, an AI-driven system can anticipate a rise in winter coat demand based on weather patterns, allowing businesses to stock up in advance and prevent shortages. I-powered pricing technologies enable e-commerce companies to alter prices in real time built around market conditions and rival pricing. This guarantees that they maintain competitiveness while increasing profits. For example, if a competitor reduces the price of a specific product, the AI system may automatically alter the pricing on the online marketplace to match or undercut the competitor.

Keywords: E-commerce, product, pricing, machine learning, artificial intelligence

[This article belongs to Journal of Artificial Intelligence Research & Advances ]

How to cite this article:
Kazi Kutubuddin Sayyad Liyakat. E-Commerce and AI: Product Recommendation and Pricing. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):37-45.
How to cite this URL:
Kazi Kutubuddin Sayyad Liyakat. E-Commerce and AI: Product Recommendation and Pricing. Journal of Artificial Intelligence Research & Advances. 2025; 12(02):37-45. Available from: https://journals.stmjournals.com/joaira/article=2025/view=208206


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 16/02/2025
Accepted 11/04/2025
Published 17/04/2025
Publication Time 60 Days
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