Sonal Deshmukh
Papers
1
Total Citations
4
H-Index
1
About
Sonal Deshmukh is a forward-thinking researcher at the intersection of artificial intelligence, human-computer interaction, and e-commerce innovation. Her work centers on enhancing digital customer experiences through intelligent automation, with a particular focus on AI-driven chatbots. In her highly cited 2025 study, "A Comparative Analysis of Rule-Based and AI-Driven Systems for Improving Customer Satisfaction and Engagement in E-Commerce Using Chatbots Powered by Artificial Intelligence," Deshmukh systematically evaluates how conversational agents can transform customer service. She demonstrates that AI-powered chatbots—capable of delivering personalized offers, adaptive communication, and responsive support—significantly outperform traditional rule-based systems in boosting user engagement and satisfaction. This research, already garnering 4 citations shortly after publication, underscores her contribution to making e-commerce interactions more intuitive and human-like. Deshmukh’s work is notable for bridging theoretical AI frameworks with practical, deployable solutions, offering a roadmap for businesses seeking to leverage intelligent automation. Her findings have immediate relevance for UX designers, product managers, and AI developers aiming to build more empathetic, efficient digital platforms. As e-commerce continues to evolve, Deshmukh’s insights position her as a key voice in shaping the future of customer-centric AI.
Research Focus
Key Achievements
Top Papers
- 1