JOURNAL ARTICLE

Enhancing E-Commerce Platforms with AI-Driven Chatbots: Revolutionizing Customer Search and Engagement

Pradnya Sabannavar

Year: 2025 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 13 (4)Pages: 788-795   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

This research mixes disciplines regarding the current analysis of the application of chatbots in e-commerce platforms. The primary incidence of the chatbot is to provide consumers with a seamless means to articulate their preferences and search using a natural language. Employing advanced natural language processing (NLP) and machine learning techniques, it is this chatbot that interprets user queries and retrieves relevant products from the online catalogue of the site. The discussion highlights the key aspects and advantages of the chatbot, proving its credentials in really enhancing e-commerce functionality and customer experience. The researchers believe that this technology can further improve online shoppers' speed of searching for products and actively engage customers. Besides, customer satisfaction with these sites and the potential for further revenue said technology could bring are discussed in a broader context.

Keywords:
Customer engagement E-commerce Computer science Business World Wide Web Process management

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Topics

Sharing Economy and Platforms
Social Sciences →  Business, Management and Accounting →  Marketing
AI in Service Interactions
Physical Sciences →  Computer Science →  Artificial Intelligence
FinTech, Crowdfunding, Digital Finance
Social Sciences →  Business, Management and Accounting →  Management Information Systems
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