Paper Details

Name: Surekha Ningule, Smita Sonawane, Amit Arun Medhekar, Rishikesh Kumar
Country: India

Year: 2026
Volume: Volume-13, Issue-2, Year-2026 ( July- Dec)
Page Number: 140-154
DOI: https://doi.org/10.5281/zenodo.23612028

The swift growth of Indian e-commerce has heightened the demand for customer service frameworks that integrate operational effectiveness with emotional awareness. AI-powered chatbots offer 24/7 support, streamline standard questions, and enable tailored communications. Nonetheless, their efficacy relies not solely on the rapidity and precision of responses but also on their capacity to discern client emotions, address problems, and offer suitable resolutions. This study explores the impact of empathy-oriented chatbot interactions, emotional comprehension, and human-agent escalation on customer happiness, trust, and repurchase intentions within the Indian e-commerce sector. Utilising studies related to service quality, emotional intelligence, social presence, technological adoption, and human–AI collaboration, the paper formulates a conceptual framework relevant to platforms like Amazon India, Flipkart, and other e-commerce enterprises. Significant emphasis is placed on the influence of perceived empathy in fostering consumer trust, the necessity of transparent AI communication, and the scenarios where human intervention is crucial. The article additionally explores the difficulties linked to multilingual communication, algorithmic constraints, data confidentiality, emotional misreading, and the conflict between automated efficacy and individualised service. Current empirical studies indicate that sympathetic interactions with chatbots can enhance service recovery satisfaction, whilst customer satisfaction may bolster repurchase intentions and favourable word-of-mouth. Nonetheless, manufactured empathy by itself cannot ensure confidence or allegiance, especially when proposed remedies are postponed or service shortcomings persist. The paper advocates for a human-centric model wherein artificial intelligence manages mundane encounters, while skilled human representatives tackle intricate, delicate, and emotionally intense scenarios. It culminates with actionable suggestions for creating reliable chatbot systems and outlines a study framework for assessing their efficacy within India's varied digital retail landscape.

Keywords: Artificial intelligence, empathetic chatbots, customer satisfaction, emotional intelligence, customer trust, human–AI collaboration, repurchase intention.