In this episode Michael LeBlanc sits down with Trinadha Kandi, Managing Director – Customer & Marketing at Deloitte Digital, to unpack how AI is reshaping personalization in retail. Kandi explains why brands have sometimes confused targeting with true personalization and how AI is accelerating a shift toward real-time, context-driven engagement. The conversation explores agentic commerce, data strategy, and ROI, offering practical insights for retailers navigating digital transformation.
In this episode of The Voice of Retail, host Michael LeBlanc welcomes Trinadha Kandi, Managing Director – Customer & Marketing at Deloitte Digital, for a deep dive into how artificial intelligence is transforming personalization, customer engagement, and retail growth strategies.
Kandi begins by addressing one of the most persistent challenges in retail: the widespread confusion between targeting and true personalization. For years, brands have equated personalization with increasing the volume of messages sent to consumers. However, as Kandi explains, real personalization is about delivering contextually relevant, timely, and meaningful interactions that reflect individual customer preferences—not simply increasing communication frequency.
Drawing on Deloitte’s research, Kandi highlights that customers are significantly more likely to engage with and spend more at brands that deliver authentic personalized experiences. He explains how leading retailers are seeing measurable improvements in conversion rates, customer loyalty, and average order value by investing in omnichannel personalization strategies powered by advanced data and AI capabilities.
A major theme throughout the conversation is the evolution of AI in retail—from experimentation to real-world execution. Reflecting on insights from Shoptalk, Kandi notes that “agentic commerce” has moved beyond conceptual discussions into active deployment. Retailers are now launching AI-powered shopping agents capable of anticipating customer needs and orchestrating seamless experiences across touch points.
However, Kandi emphasizes that AI is not a plug-and-play solution. Success requires strong data foundations, cross-functional collaboration, and a willingness to rethink organizational structures and processes. Retailers must move beyond siloed channel strategies and adopt a holistic, customer-centric approach supported by continuous experimentation and learning.
The discussion also explores how organizations are structuring AI capabilities internally. Kandi points to the rise of centralized AI centres of excellence, enabling governance and scalability while allowing individual business functions to innovate within a coordinated framework.
Looking ahead, Kandi predicts that AI will quickly become table stakes across retail. The real differentiation will come from how brands integrate AI with authentic storytelling and brand identity—training systems not just on customer data, but also on tone, voice, and values to ensure interactions feel human and relevant.
The episode concludes with practical guidance for retailers: invest in discoverability, embrace conversational AI, and leverage data to anticipate customer needs. As AI reshapes how consumers search and shop, retailers must actively participate in shaping those journeys to remain competitive.
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