Papers

2

Total Citations

109

H-Index

2

About

Amit Kushwaha is a leading researcher at the intersection of artificial intelligence, natural language processing, and digital marketing. His work focuses on developing intelligent, language model-driven chatbots that transform how businesses engage with consumers in the post-modern era. Kushwaha’s most influential contribution is the creation of MarkBot, a pioneering conversational agent designed for interactive marketing and product selection. His foundational paper, "MarkBot – A Language Model-Driven Chatbot for Interactive Marketing in Post-Modern World" (2021), has garnered 81 citations, establishing him as a key voice in AI-powered customer interaction. Expanding on this, his earlier work, "Language Model-Driven Chatbot for Business to Address Marketing and Selection of Products" (2020), with 28 citations, laid the groundwork for practical, business-oriented chatbot applications. Together, these studies demonstrate how large language models can be harnessed to personalize marketing, streamline product discovery, and enhance user engagement. Kushwaha’s research is notable for bridging cutting-edge NLP techniques with real-world commercial needs, offering both theoretical insights and actionable frameworks. His work continues to influence the development of next-generation conversational systems, making him a vital figure for students and researchers exploring AI’s role in modern marketing.

Research Focus

Key Achievements

2
H-Index
2
Papers
109
Total Citations
55
Avg Citations/Paper
🏆 Most Cited Paper
MarkBot – A Language Model-Driven Chatbot for Interactive Marketing in Post-Modern World
81 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Dish Network (United States), Indian Institute of Technology Delhi

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago