Shopsense AI is strengthening its product and technology leadership as it prepares to expand its Shoppable Intelligence Model (SIM) into API-level integrations for commerce platforms.

The company has appointed Alan Lewis as Chief Product Officer and promoted founding-team members Sam Gottlieb to Chief Technology Officer and Dharmil Chandarana to Principal Scientist. The appointments follow CEO Bryan Quinn's stated strategy of positioning Shopsense as an intelligence layer for shoppable digital experiences.

Lewis will oversee product strategy and the company's roadmap. He previously held senior product positions at Amazon, eBay, Alibaba and Realtor.com. At Amazon, he was part of the founding team behind Amazon Marketing Cloud, which provides advertisers with privacy-focused data collaboration and analytics capabilities.

Gottlieb, Shopsense's founding engineer, will lead its combined Engineering and Science organization. Chandarana, another founding-team member, will oversee the technical direction and implementation of SIM.

The appointments provide Shopsense with dedicated leadership across product, engineering and applied science as the company moves toward making its intelligence capabilities available through APIs.

Market Landscape

Commerce technology is increasingly shifting from static digital storefronts toward experiences that can interpret customer intent, product information and contextual signals.

Retailers and brands are experimenting with AI-powered recommendations, conversational shopping, personalized merchandising and automated product discovery. At the infrastructure level, this is creating demand for systems that can connect commerce data with intelligence and deliver it across multiple consumer touchpoints.

Shopsense's API strategy reflects this development. Rather than limiting its technology to a proprietary front-end experience, the company intends to make SIM accessible as an underlying layer that can integrate with other commerce experiences.

This puts Shopsense in a competitive environment that includes ecommerce platforms, retail media companies, personalization providers and emerging AI commerce infrastructure vendors.

Strategic Outlook

The leadership changes suggest Shopsense is moving from product development toward platform scaling.

Lewis brings enterprise product experience across commerce and advertising, while Gottlieb provides continuity from the company's founding engineering organization. Chandarana's new principal scientist role establishes dedicated ownership for SIM's technical evolution.

That structure could become increasingly important as Shopsense expands the number of retailers and customers using its platform. AI-powered commerce systems must balance model performance with reliability, scalability, latency and the ability to maintain consistent product data.

The company's ambition to operate as a shoppable intelligence layer also reflects a broader change in ecommerce infrastructure. Instead of requiring consumers to navigate a fixed catalog, future systems may increasingly use AI to interpret what shoppers want and assemble relevant products, information and actions dynamically.

For Shopsense, the commercial opportunity will depend on how effectively SIM can translate product and consumer signals into measurable outcomes for retailers, while its API strategy could determine how broadly the technology can be deployed across the commerce ecosystem.

Top Insights

• Commerce AI is moving into infrastructure: Vendors are developing intelligence layers that can operate across multiple shopping experiences.
• API distribution can broaden reach: Shopsense plans to make SIM accessible beyond a single proprietary interface.
• Leadership is shifting toward platform scale: Product, engineering and applied science now have dedicated executive ownership.
• Retail AI requires more than model performance: Reliability, scalability and data quality become critical in production environments.
• Shoppable experiences are evolving: AI can potentially connect product discovery, recommendations and transactions more dynamically.

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