How AI is turning e-commerce from a storefront into an agent

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Transforming E-commerce: How AI Agents Deliver Personalized Shopping Experiences

(This article was generated with AI and it’s based on a AI-generated transcription of a real talk on stage. While we strive for accuracy, we encourage readers to verify important information.)

Gina Judge

Gina Judge, Founder of The MMG, introduced Maju Kuruvilla, CEO and Founder of Spangle AI, highlighting his 8-year tenure at Amazon, where he was VP of Technology for Prime logistics. Mr. Kuruvilla drew parallels between the initial skepticism of Amazon Prime’s rapid delivery and the emerging concept of agentic commerce. He believes AI agents will revolutionize shopping, making current manual processes seem outdated within 5-10 years.

Mr. Kuruvilla envisions AI agents handling diverse shopping tasks. For basic necessities, an agent could autonomously compare prices across multiple retailers like Amazon, Walmart, and Target for the best deal. For personalized needs, such as selecting an event outfit, an AI agent could proactively suggest styling options, demonstrating a spectrum of assistance from routine purchases to curated selections.

Ms. Judge noted that 65% of online shoppers abandon carts when faced with over 50 product options, leading to decision paralysis and lost revenue. Spangle AI addresses this by dynamically creating a personalized store experience in real-time. Instead of a generic homepage, Spangle leverages context from ad platforms, like Meta ads manager, to curate a unique storefront tailored to the individual’s inspiration.

Spangle’s agentic system captures rich contextual data from ad interactions, such as the specific image or audience segment. This crucial information, traditionally lost, is used to build a highly relevant and engaging shopping environment. This capability, previously impossible, transforms e-commerce from a static display into a dynamic, personalized agent for every customer, enhancing engagement and conversion.

As AI agents become significant customers, brands must adapt. Mr. Kuruvilla explained that websites, traditionally optimized for human psychology, will need to cater to agents who respond to different criteria. Brands must ensure visibility in chatbots and other AI interfaces, developing “agentic optimization” strategies to merchandise effectively to these digital shoppers.

A key challenge for brands is maintaining customer loyalty when an AI agent acts as an intermediary. Mr. Kuruvilla highlighted the real risk of bias in AI systems, as AI’s knowledge is limited to the data it’s fed. Brands must actively engage to ensure their relevance and avoid disadvantage. Spangle AI has shown significant benefits, with brands like Revolve reporting a 60% increase in Return on Ad Spend (ROAS) and a 50% increase in conversion rates. Integration is simple: brands provide a blank page, and Spangle dynamically transforms it into a customized storefront for human users or an agent-optimized interface.

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