Feba Jaimon
Papers
1
Total Citations
11
H-Index
1
About
Feba Jaimon is a forward-thinking researcher at the intersection of artificial intelligence and retail innovation. Her work centers on how AI can transform customer engagement, particularly through the design of personalized strategies that leverage the explosion of digital shopper data. In her highly cited 2021 paper, “Prospects for Artificial Intelligence Implementation to Design Personalized Customer Engagement Strategies,” Jaimon explores how advanced AI solutions synthesize consumer insights across every touchpoint, enabling retailers to act on real-time behavioral data. With 11 citations, this foundational work has influenced both academic discussions and practical applications in e-commerce personalization. Jaimon’s research is notable for bridging the gap between cutting-edge AI capabilities and the tangible needs of modern retail, offering a roadmap for businesses to move beyond generic marketing toward truly individualized customer experiences. Her contributions are particularly timely as the retail landscape shifts toward data-driven, omnichannel engagement, positioning her as a key voice in the ongoing conversation about AI’s role in shaping the future of commerce.
Research Focus
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Top Papers
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