Physical retail remains one of the least digitized large-scale industries, leaving a “visibility gap” that drives operational inefficiencies and lost sales. Closing this gap requires economically viable store digitization. In this session, Kishor Taywade will explore how capturing in-store data through computer vision and robotics creates measurable business value by transforming physical observations into actionable insights. Drawing from real-world deployment experience, he will discuss the economic drivers and practical challenges of bringing AI-based perception into dynamic retail environments. Beyond immediate gains, store digitization establishes a digital foundation for the broader retail ecosystem—improving brand visibility, supporting last-mile picking workflows and creating a path toward future automation.
Closing the Visibility Gap: Digitizing the Store as the Foundation for Retail Transformation
Session Speakers
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Kishor Taywade
CTO, Zippedi
Kishor Taywade is the Chief Technology Officer at Zippedi, where he leads both product strategy and engineering for autonomous robots and embedded vision systems designed to digitize physical retail environments. With more than two decades of experience in computer vision, robotics and product development, he has driven innovation across retail and embedded technology domains. Prior to Zippedi, Kishor was the Co-Founder and CEO of Hyper Cognition, an AI start-up applying deep learning and computer vision to in-store behavior analytics. Earlier, as VP of Product Management at Vadaro, he led the development of vision-based retail analytics platforms and one of the industry’s first time-of-flight smart cameras. Before that, he spent over a decade at Texas Instruments, driving innovation on the OMAP platform across mobile, automotive and emerging embedded markets.
