Sawmini Suresh
Papers
1
Total Citations
11
H-Index
1
About
Sawmini Suresh is a forward-thinking researcher at the intersection of artificial intelligence and customer experience, whose work is shaping the future of personalized retail. Her primary research areas include AI-driven customer engagement, data-driven marketing strategy, and the practical implementation of machine learning in e-commerce. In her highly cited 2021 paper, "Prospects for Artificial Intelligence Implementation to Design Personalized Customer Engagement Strategies," Suresh provides a critical framework for how businesses can harness the explosion of digital shopper data and advanced AI solutions to synthesize consumer insights at every touchpoint. This work, which has garnered 11 citations, is recognized for bridging the gap between technological capability and real-world retail application, offering a roadmap for transforming raw data into meaningful, individualized customer interactions. By focusing on the synthesis and actionability of insights, Suresh’s contributions are helping to define a new era of responsive, intelligent commerce, making her a notable voice in the ongoing evolution of AI-powered customer relationship management.
Research Focus
Key Achievements
Top Papers
- 1