AI-Driven Consumer Analysis for Designing Promotional Strategies for Online Shopping of Electronic Goods: A Dual Theory Approach

Abstract: The fast growth of Artificial Intelligence (AI) in e-commerce has transformed the way consumer behaviour is analysed by retailers and created new challenges to develop effective promotional strategy. This study investigates consumer preference of AI based recommendation while shopping through online of electronic goods by surveying 284 consumers. The analysis finds that younger consumers prefer strongly AI-driven recommendations while shopping, however perceived risk associated with online shopping does not decrease with use of AI. Further, an examination of consumer reviews collected from the Amazon platform during the Deepavali festival for iPhone. The findings reveal that consumer reviews are predominantly on price sensitivity, quality of service, delivery experience, and prestige of brand. These insights help online retailers to design customized promotional strategy to enhance purchase intention of consumers. Overall, the study contributes to present literature on online shopping by offering a novel approach to develop technique of promotions. Keywords: Artificial Intelligence, Consumer Review, Sentimental Analysis, Promotional Strategy. Title: AI-Driven Consumer Analysis for Designing Promotional Strategies for Online Shopping of Electronic Goods: A Dual Theory Approach Author: Chythra P, Dr. Rajendran S, Dr. Kannan T International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 13, Issue 2, October 2025 - March 2026 Page No: 585-596 Research Publish Journals Website: www.researchpublish.com Published Date: 03-March-2026 Amendment Date: 13-March-2026 DOI: https://doi.org/10.5281/zenodo.19006232 Paper Download Link (Source) https://www.researchpublish.com/papers/ai-driven-consumer-analysis-for-designing-promotional-strategies-for-online-shopping-of-electronic-goods-a-dual-theory-approach