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Moderated by the Wall Street Journal, alongside supply-chain leaders from Ulta and Wayfair, the panel pushed on end-to-end visibility. The position taken: omnichannel fails operationally when inventory truth is fragmented across systems that do not talk to each other. Right product, right place, real time is a data-integration outcome first and a warehouse outcome second.

Made with Syndigo's CMO and the CIO of John Boos: product data quality is not a compliance chore, it is a revenue lever with a measurable return. When the journey from source to shelf is trusted, launches accelerate and content compliance stops leaking margin. The room was shown the path from clean data to ROI as a straight line, not a hope.

No public recording is available for this session. Summary above is first-hand.

The through-line: agent readiness is not a tool you buy, it is the state of your product data. As shoppers and AI assistants start querying catalogs directly, the brands that win are the ones whose data is structured, complete, and machine-legible before the agent ever arrives. The same claim BK Blueprint is built on, made on a vendor's own stage.

To a room studying marketing analytics, the argument was that AI's real effect on Amazon is upstream of advertising. The algorithms that decide what gets surfaced and what stays profitable increasingly run on structured product and behavioral data. Brands optimizing ad spend while ignoring their data foundation are tuning the last mile of a road that was never paved.

Guest lecture. No public recording.

A full lecture on how omnichannel actually works: shopper marketing, measurement and ROI, and repeatable frameworks over one-off tactics. Two cases anchored it and made the same point. Channels are not separate businesses to be optimized in isolation, they are one demand system, and measuring them separately is how brands miss where the money is actually made.

On a panel with Forrester's principal retail analyst, the argument was that tariff exposure is a merchandising and data problem before it is a pricing one. Brands that could see landed cost, margin, and demand by SKU in near real time could reprice deliberately. Brands that could not were forced into blunt price moves that trained customers to wait for the next discount.