Despite the widespread integration of artificial intelligence (AI) chatbots into e-commerce platforms, their effectiveness in enhancing customer satisfaction remains uncertain, particularly in the Mal
Research gap analysis derived from 3 engineering papers in our local library.
The gap
Despite the widespread integration of artificial intelligence (AI) chatbots into e-commerce platforms, their effectiveness in enhancing customer satisfaction remains uncertain, particularly in the Malaysian context.
Consensus across the literature
Clustered from 3 gap mentions across 3 papers via embedding cosine ≥ 0.62.
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Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Effectiveness of AI Chatbots and Conversational Commerce on Customer Loyalty in the Indian Retail Sector: A Study on Reliance in Chhattisgarh (2026) · doi
including expanding multilingual support, implementing proactive engagement strategies, and strengthening privacy protections. The research demonstrates that AI function as bridges between operational chatbots efficiency and relationship-building, requiring strategic balance between automation and human empathy to sustain long-term customer relationships in the Indian retail context. providing optimizing chatbot retail, for enhance customer engagement and service delivery. This technological shift represents a fundamental reorganization of customer interactions, moving from traditional transactional models to conversational, relationship-based commerce enabled by messaging platforms and AI-powered conversational agents. Reliance Retail, India's largest organized retailer (groceries, operating across multiple segments through fashion, electronics, digital commerce) platforms such as JioMart, AJIO, and Reliance Digital, has emerged as an early adopter of AI chatbot technology. The company's Smartbot, accessible via WhatsApp and other messaging channels, handles substantial customer interaction for product volumes, providing 24/7 support personalized searches, recommendations, resolution. Conversational commerce, defined as the use of messaging platforms, chat interfaces, and voice assistants to facilitate customer-brand interactions during the purchasing process, has demonstrated significant customer to engagement, conversion rates, and loyalty metrics globally. In the Indian market specifically, the prevalence of WhatsApp (over 400 million users) and other messaging creates unique applications opportunities for conversational commerce, as many consumers prefer chat-based interfaces to traditional e-commerce websites. complaint tracking, potential improve order and Keywords: AI Chatbots, Conversational Commerce, Customer Loyalty, Brand Trust, Reliance Retail, Indian Retail Sector, Technology Acceptance I. INTRODUCTION The Indian retail sector is undergoing rapid digital transformation, with businesses increasingly adopting artificial intelligence and chatbot technologies to II. LITERATURE REVIEW AND CONCEPTUAL FRAMEWORK
Keywords: customer retail commerce conversational indian messaging engagement chatbot platforms reliance digital support chatbots relationship providing - Persuasive Marketing Intelligence in Supermarket Kiosk Agents: Extending an Intelligent Receptionist System for Context-Aware Recommendations (2026) · doi
in-store customer should be processes without interaction interruptions. The operational scalability of the system is supported with the ability to become a complementary tool assisting the staff instead of substituting them. As the implementation shows, an intelligent intent classification that is combined with structured retail information may make the processes more efficient and help in the optimization of revenues in a physical retail context [8]. The rest of this paper addresses related work, system the architecture, methodology, implementation, and performance evaluation of the suggested framework of the conversational kiosk. details the of through systems are aimed at enhancing the flexibility and interactivity with customers the use of automation technologies [3]. Service robots based on the use of large language models are also presented in the environment of the shopping mall to make a better user interaction and give a contextual assistance [6]. These applicability of systems portray conversational AI in offline retail environments. increasing the language model and NLP-based customer service systems have gone a step higher to enhance automated query processing through ranking pre-trained system [4]. The literature has also investigated AI customer service software in the localized settings including healthcare and online shopping platforms where it has shown to be more user-satisfied and efficient with intelligent automation [7], [8]. response Moreover, chat agents that cater to the needs of e- commerce settings have revealed that automated chat systems can be useful in answering questions raised by customers as well as to aid in online-shopping choices [9], [10]. Most of such implementations however are more of virtual or online providing than the physical setting supermarket. shows literature efficacy of the
Keywords: systems customer system retail service shopping online processes interaction implementation shows intelligent make efficient physical - The Effect of AI Chatbots On Customer Satisfaction in E-commerce (2026) · doi
Despite the widespread integration of artificial intelligence (AI) chatbots into e-commerce platforms, their effectiveness in enhancing customer satisfaction remains uncertain, particularly in the Malaysian context.
Keywords: despite widespread integration artificial intelligence chatbots commerce platforms effectiveness enhancing customer satisfaction remains uncertain particularly
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