A BIBLIOMETRIC ANALYSIS ON AI-DRIVEN IMPULSE BUYING IN ONLINE GROCERY RETAIL

DOI: https://doie.org/10.65985/APER.2026213479

Authors:

Dr. Abhishek S Deokule, Dr. Madhavi Dhole, Dr. Dipti Periwal

Keywords:

Artificial Intelligence; Impulsive Purchasing; Online Grocery Shopping; Personalization; Bibliometric Analysis; Consumer Behavior; Retail Technology

Abstract:

The online grocery retail business has experienced significant advancements in digital innovations, particularly through the integration of artificial intelligence (AI) capabilities, which are transforming customer purchasing behaviors. This study conducts a systematic literature review and bibliometric analysis (2019–2024) on the impact of AI in facilitating online impulse purchases of supermarket products. We employed VOSviewer to examine pertinent scientific papers from Scopus, Web of Science, and Dimensions, investigating publishing trends, keyword co-occurrence networks, and topic progression. The results demonstrate that AI-driven personalization, recommendation systems, chatbots, and dynamic pricing methods significantly influence impulsive buying behavior in e-grocery environments. From a customer perspective, AI functionalities can facilitate decision-making and stimulate impulsive purchases. From a retailer's perspective, they can utilize them to augment basket size and enhance client engagement. Thematic analysis indicates that research has transitioned from examining website cues and consumer emotions to focusing on AI-driven personalization and social commerce. Simultaneously, issues about consumer trust and ethics are proliferating. This paper follows the standard research framework, consisting of the introduction, literature review, methodology, results (including co-occurrence and trend analyses), discussion from both consumer and store perspectives, and conclusions. This review consolidates our understanding of the impact of AI on impulsive online grocery shoppers. It provides academics and professionals with a means to comprehend contemporary trends and identify novel research opportunities.

PDF