The Plumbing for AI Shopping: A Partnership Unlocks Agentic Commerce

NEW YORK, NY – August 11, 2026 – In the relentless march toward an AI-driven future, we often fixate on the dazzling intelligence of the agents themselves. But the real revolution happens when the complex, unglamorous work of connecting systems is finally solved. A new partnership announced today between consumer tech company Glance and enterprise feed management platform Productsup is precisely that: a crucial piece of plumbing that could finally open the floodgates for 'agentic commerce' at an enterprise scale.

The collaboration makes Glance, an InMobi subsidiary, a native export channel within Productsup’s platform. For professionals outside the arcane world of product data syndication, this may sound trivial. It is anything but. This integration provides a direct, low-friction pathway for over 1,000 major brands—including giants like Sephora, Beiersdorf, and PUMA—to push their entire product catalogs into the burgeoning world of AI-powered shopping agents.

"Agentic commerce is moving fast, and the brands that will win are the ones that can get their product data in front of AI systems without rebuilding their entire stack to do it,” said Alan Turner, Vice President of Americas at Productsup. This statement cuts to the heart of the issue. For years, the promise of AI shopping assistants has been hampered by a logistical nightmare: how do you get an AI to accurately understand, compare, and act upon data from millions of products, each with its own unique attributes, when that data is locked in disparate, incompatible systems?

This partnership provides a compelling answer, creating a standardized on-ramp for the complex product information that fuels this new form of commerce.

The Trillion-Dollar Agentic Opportunity

To grasp the significance of this move, one must first understand the paradigm shift that is agentic commerce. This isn't about improved search recommendations or chatbots. Agentic commerce involves AI agents acting autonomously on a consumer's behalf—researching products, comparing options across retailers, negotiating terms, and even executing purchases with minimal human intervention. It’s the difference between asking an assistant for shopping links and telling it to “reorder my usual coffee beans when I’m running low, but find the best price this time.”

The market potential is staggering. While the sector is still in its early innings, forecasts are breathtaking. McKinsey estimates agentic commerce could orchestrate up to $5 trillion in global retail revenue by 2030. Morgan Stanley Research is more conservative but still projects that agentic shoppers could command up to 20% of the U.S. e-commerce market within the decade, representing nearly $400 billion in spending. This isn't a niche; it's a fundamental rewiring of how consumers and brands will interact.

The primary barrier to realizing this vision has been data fragmentation. An AI agent is only as good as the data it can process. If a brand's product catalog isn't structured in a way an agent can understand, that brand is effectively invisible. This is the structural challenge the Glance-Productsup deal is engineered to solve.

From Data Feeds to Agent-Ready Intelligence

Productsup sits at the center of this new value chain. As a feed management platform processing over two trillion products a month, it already serves as the central nervous system for product data for many of the world's largest brands. Its platform ingests, cleans, and optimizes product information before syndicating it to over 2,500 channels like Google Shopping, Meta, and Amazon.

The key innovation here is the platform's ability to enrich product data with what the company calls "agentic attributes." This goes beyond simple keywords. It involves structuring information to answer the complex, contextual questions an AI agent might ask. Is this product available for immediate pickup? Is it compatible with another product the user owns? What is its sustainability rating? By pre-processing this information, Productsup transforms a static product catalog into a dynamic, queryable database ready for AI consumption.

This directly addresses what the press release calls the "internal IT bottleneck." Brands that have committed to AI-driven commerce often face months-long delays as engineering teams struggle to build custom, real-time catalog feeds from scratch. This integration turns a bespoke, high-cost project into a simple workflow action, allowing a brand to activate Glance with a few clicks, using the same data standards they already rely on for every other major channel.

A New Commerce Frontier: The Living Room and Lock Screen

If Productsup provides the fuel, Glance provides the engine and the destination. Glance's strategy isn't to compete with existing e-commerce websites but to extend commerce into new, largely untapped surfaces. Its recent partnerships paint a clear picture of this ambition.

Through a deal with Samsung, Glance is already turning millions of smart TV screens in the U.S. into personalized, AI-driven shopping destinations. Its technology is also being integrated into the lock screens of Samsung Galaxy devices and the screensavers on DirecTV streaming boxes. These are surfaces most advertising and commerce platforms cannot reach directly, representing a massive new inventory of consumer attention.

By connecting to Glance via Productsup, a brand like PUMA can now, in theory, have its products discovered by a consumer browsing on their television, prompted by an AI that understands their viewing habits and style preferences. The entire experience is designed to be seamless, extending a brand's reach without forcing them to cede control over the final transaction.

"Glance was designed to extend that relationship, not replace it," noted Mansi Jain, Glance's Chief Operating Officer. This is a critical point for enterprise brands that have invested billions in building their own checkout experiences and customer data platforms. The partnership allows them to gain access to tens of millions of consumers through agentic commerce while retaining full ownership of the final purchase and, most importantly, the customer relationship.