Transforming Retail: Elevating Customer Experience and Efficiency with Generative AI Technique

Matharoo, Sandeep (2024) Transforming Retail: Elevating Customer Experience and Efficiency with Generative AI Technique. Asian Journal of Research in Computer Science, 17 (12). pp. 179-184. ISSN 2581-8260

[thumbnail of Matharoo17122024AJRCOS125352.pdf] Text
Matharoo17122024AJRCOS125352.pdf - Published Version

Download (434kB)

Abstract

This article examines the impact of generative artificial intelligence (AI) on the transformation of retail in the digital age. The author emphasizes that generative AI, by creating new content and providing personalized experiences, is becoming a key tool for retailers, allowing them not only to understand, but also to anticipate consumer preferences. Special attention is paid to changing the customer experience through innovative solutions such as smart chatbots that are able to adapt to user needs. The article also examines the impact of generative AI on operational efficiency, including inventory management and staff optimization, which helps reduce costs and increase profitability. The financial results of the AI implementation are supported by statistical data showing revenue growth and reduced operating costs. The conclusion emphasizes that generative AI will not only improve existing processes, but also change the very nature of interaction between retailers and consumers, opening up new horizons for business in the future.

Item Type: Article
Subjects: Digital Academic Press > Computer Science
Depositing User: Unnamed user with email support@digiacademicpress.org
Date Deposited: 09 Jan 2025 04:18
Last Modified: 27 Mar 2025 12:48
URI: http://core.ms4sub.com/id/eprint/1885

Actions (login required)

View Item
View Item