Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/22864
Title: IMPACT OF AI VOICE AGENTS ON CUSTOMER PERCEPTION AND PURCHASE DECISION
Authors: MISHRA, SRAJAL
Sharma, Yogesh (SUPERVISOR)
Keywords: ELABORATION LIKELIHOOD MODEL
TECHNOLOGY ACCEPTANCE MODEL
PERSUASION KNOWLEDGE MODEL
BEHAVIOURAL REASONING THEORY
NATURAL LANGUAGE PROCESSING
ARTIFICIAL INTELLIGENCE
Issue Date: May-2026
Series/Report no.: TD-8795;
Abstract: AI voice agents are currently emerging as the key drivers of transformation in business and sales processes. They are widely adopted by companies in order to enhance communication with their customers, providing them with instant service and encouraging buying behaviour. AI voice agents are powered by technologies such as natural language processing (NLP), machine learning and speech recognition, aiming to mimic human interaction and communication styles. The study explores how AI voice agents affect customer perceptions, buying decisions, company sales performance and their impact on the various stages of the sales funnel. The research is done with primary as well as secondary data. Primary data was gathered through survey on customers’ perceptions, behaviours and opinions on the usage of AI voice agents during the sales process. Responses gathered were then employed to calculate different factors, including the level of trust and satisfaction of customers and their intent to purchase, or adopt, AI enabled communication. The secondary data was gathered by conducting research using papers, journal articles, scientific reports and studies, which were available on existing literature related to AI voice technology, customer behaviour and digital selling strategies. This will enable the researcher to give practical knowledge a balance with theory. In particular, various theoretical perspectives such as the Elaboration Likelihood Model (ELM), the Technology Acceptance Model (TAM), the Heuristic-Systematic Model (HSM), the Behavioural Reasoning Theory (BRT), the Persuasion Knowledge Model (PKM), and the CASA paradigm are applied to explain and understand how an AI voice agent affects consumer purchase decisions in terms of personalization, emotional cues, trust building, and logical information about a product. The research shows that AI voice agents impact the effectiveness of the sales process for all stages. In the awareness stage, they enable businesses to attract potential customers through instant response, assisted product discovery and always availability. Customer engagement has been increased and businesses can easily manage their customer interactions by simultaneously interacting with a vast number of clients. The degree of impact is even greater in the consideration stage, where AI voice agents help customers by suggesting personal recommendations, comparing products and providing detailed information on products to make decisions. This has been the most effective stage for AI because customers want reassurance when they have to decide whether to buy or not. However, the results have shown that AI voice agents have limited impacts on the last stage of the buying process which is purchasing the final product. The lack of human interaction before concluding purchases has made the customers doubtful over the privacy issues and trust concerns and it has also led to the absence of emotional assurance on the part of AI agents. AI voice agents thus perform moderately well in the post-purchase phase, maintaining relationships between the firm and its customers by ensuring follow-up actions and resolving customer service issues. In this research, AI voice agents are compared with human sales representatives and text-based chatbots. When compared with chatbots, AI voice agents are more efficient and productive in performing repetitive, routine tasks at lower costs and managing larger volumes of sales interactions. However, compared with human sales representatives, they underperform in contexts requiring high emotional appeal, service recovery, and negotiating complex business deals where relationship-building between two parties is critical. On this basis, this study argues that the hybrid approach that combines AI's efficiency with human service providers' roles offers businesses both short-term and long-term advantages. Furthermore, AI voice agents offer numerous advantages to a business, including Increased customer engagement and customer experience, conversion rates, sales performance. There are concerns, about data privacy and security, transparency, to ensure the safe use of AI and avoid its potential misuse, it is crucial to take a responsible approach to using AI to maintain customer Protect and foster the sustainable development of enterprises. This means that voice AI the position of the agents is one of the most powerful that help businesses and sales. processes of the present day. The system cannot take the place of human touch, Enhances the sales process with improved customer relationships and Engagements at various points in the sales cycle. On that note, personalization, trust-building features, and human-AI integration will further deepen the influence of AI voice agents on customer purchase decisions and business sales performance
URI: http://dspace.dtu.ac.in:8080/jspui/handle/repository/22864
Appears in Collections:MBA

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