Paper Details

Name: Kajal, Disha Arora, Nisha Kaushik & Sneha Bhardwaj
Country: India

Year: 2026
Volume: Volume No: 13, Issue: 1, Year: 2026
Page Number: 102-115
DOI: https://doi.org/10.5281/zenodo.19447934

ABSTRACT
Since many technologies fall under the umbrella of artificial intelligence (AI), this study
focused on AI as applied to chatbots. An AI-powered conversational tool, an e-commerce chatbot, helps online retailers interact with clients at every step of the buying process, from product search to post-purchase assistance. Conversational commerce, which incorporates AI-driven conversational interfaces like chatbots, voice assistants, and live chat systems to improve the online purchasing experience, heavily relies on these chatbots. Conversational commerce provides a human-like conversation experience in e-commerce settings by bridging the gap between digital convenience and the individualized service consumers expect from in-store interactions. The way consumers engage with digital platforms has changed dramatically as a result of recent advancements in artificial intelligence. Businesses are using AI-based solutions more frequently as online retail grows in order to increase customer pleasure and engagement. Among these developments, AI chatbots have emerged as a key tool for improving customer service, offering prompt assistance, and expediting communication. Because they can handle several client requests at once, automate tedious chores, and deliver precise, contextually appropriate responses—all at a fraction of the expense of traditional customer care operations—chatbots are especially useful. Businesses can guarantee constant, 24-hour customer service by integrating these tools, freeing up human agents to deal with more complicated or emotionally sensitive problems. AI-driven chatbots use machine learning (ML) and natural language processing (NLP) to comprehend, interpret, and react to customer questions in a natural and human-like way. Over time, they refine their responses and enhance the quality of their conversations by continuously learning from user interactions. This feature enables them to assist customers at every stage of the customer experience, from responding to product inquiries and helping them make purchases to managing returns and gathering feedback. Therefore, chatbots function as intelligent virtual assistants that enhance the online purchasing experience by offering efficiency, personalisation, and convenience, rather than only acting as automated information systems. The purpose of this study was to investigate how consumers view and react to AI chatbots on e-commerce platforms. An online survey was used to gather data from 159 individuals in
northern India, assuring representation from a range of age groups, genders, and occupational backgrounds. The purpose of the study was to gather consumer opinions, experiences, and trust levels about chatbots powered by AI. The results offer insightful information about how customers perceive these new technologies and how much they affect their online buying habits. The findings showed that online shoppers are familiar with and use AI chatbots. Chatbots can successfully and efficiently solve consumer problems, according to about 73% of respondents. Additionally, respondents showed faith in chatbots' capacity to mimic humanlike interactions, reason rationally, and partially replace human occupations. The study did, however, also find varying opinions regarding chatbots' intelligence and reliability, indicating that although people value their effectiveness, they are still wary about relying too much on AI in customer support positions. Concerns were also raised about the effects of widespread chatbot use on data privacy and employment prospects. Interestingly, gender-based variations
in chatbot interaction patterns were found by the investigation. In comparison to female
participants, male participants expressed greater levels of comfort, engagement, and trust in AI chatbots. This result suggests that opinions of AI technology could be impacted by things like communication preferences, risk perception, and technological familiarity. The report identifies possible research avenues. The investigation of personalization and emotional intelligence in chatbot design is one promising field. Future studies could look at how chatbots can incorporate adaptive learning algorithms and affective computing to better identify and react to customers' emotions. Chatbots could greatly increase user satisfaction and perceived empathy by improving their capacity to decipher emotional cues and modify tone or content accordingly, therefore reducing the communication gap between humans and AI. In summary, this study shows that AI chatbots are crucial in determining how customers interact with e-commerce platforms. Although consumers typically view chatbots as effective and beneficial, continued advancements in emotional reactivity, transparency, and
personalization are necessary to increase acceptance and confidence. As e-commerce
continues to evolve, AI chatbots are expected to remain at the forefront of digital customer relationship management, revolutionizing how businesses interact with consumers in the online marketplace.

Keywords: Artificial intelligence, Chatbots, Customer perception, Customer behaviour