DealMate: A Conversia Chatbot Revolutionizing E-Commerce

The rapid expansion of e-commerce has transformed the way companies engage with their customers. However, challenges such as delivering personalized shopping experiences, addressing diverse customer needs, and scaling customer service persist. This paper introduces DealMate, a cutting-edge conversational artificial intelligence chatbot developed by Conversia, designed to redefine customer engagement in e-commerce. DealMate combines natural language processing, machine learning, sentiment analysis, and predictive analytics to provide real-time, context-sensitive, and highly tailored interactions. This research examines the system’s architecture, deployment strategies, practical applications, and its notable effects on customer satisfaction, operational efficiency, and revenue growth. It also discusses the obstacles encountered during implementation and outlines potential avenues for advancing conversational technology.

Authors

Publication Details

Journal
Cureus Journal of Computer Science.
Published
2025-09-09
DOI
https://doi.org/10.7759/s44389-025-04057-7
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

DealMate: A Conversia Chatbot Revolutionizing E-Commerce

Aneesha Shetty, Nilesh Mali, Siddhi Sharadchandra Kargutkar, Shrushti Tanawade et al.
Cureus Journal of Computer Science.
AI in Service Interactions
article

DealMate: A Conversia Chatbot Revolutionizing E-Commerce

Aneesha Shetty, Nilesh Mali, Siddhi Sharadchandra Kargutkar, Shrushti Tanawade, Ninad Pawar
article en

Abstract

The rapid expansion of e-commerce has transformed the way companies engage with their customers. However, challenges such as delivering personalized shopping experiences, addressing diverse customer needs, and scaling customer service persist. This paper introduces DealMate, a cutting-edge conversational artificial intelligence chatbot developed by Conversia, designed to redefine customer engagement in e-commerce. DealMate combines natural language processing, machine learning, sentiment analysis, and predictive analytics to provide real-time, context-sensitive, and highly tailored interactions. This research examines the system’s architecture, deployment strategies, practical applications, and its notable effects on customer satisfaction, operational efficiency, and revenue growth. It also discusses the obstacles encountered during implementation and outlines potential avenues for advancing conversational technology.

Cureus Journal of Computer Science.
Openalex Percentile: Top 87%
AI in Service Interactions
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DealMate: A Conversia Chatbot Revolutionizing E-Commerce — Aneesha Shetty, Nilesh Mali, et al. · Cureus Journal of Computer Science. (2025) | TGRS Research Map | TGRS