What the DOOH CEO is actually proposing
In an opinion piece published October 30 by Digital Signage Today, Denys Kanel, founder and CEO of DOOH media and technology company Unique Media, makes the case that AI could be the most important shift in digital out-of-home advertising since programmatic buying. Crucially, he says the change will show up behind the screen, in how media is planned, priced, sold, operated and measured, not in what viewers see.
That framing affects two groups directly: media owners running connected screen networks, and buyers who have to sort through a growing pile of inventory, formats, markets and ways to purchase. Kanel's argument is essentially that AI connects the dots between supply and demand, and that the groundwork is unglamorous inventory data.
Smarter screens depend on cleaner data
Kanel's most practical claim is about metadata. For an AI system to recommend a screen, it needs to understand what that screen is: where it sits, its dimensions and orientation, the venue type, the audience, visibility, creative capabilities and physical surroundings. If that information is inconsistent or out of date, the recommendation is only as good as the data.
He argues media owners need consistent naming and venue classifications, accurate geolocation and specs, current imagery and clear creative capabilities across both planning and programmatic platforms. Metadata, in his words, stops being administrative and becomes part of the media product itself. The implication for owners is direct: the networks that make their inventory easiest for technology to understand may be the easiest for buyers to find.
What changes for sellers and buyers
On the sales side, Kanel describes AI as revenue intelligence. He says his company has already used programmatic buying patterns to spot advertisers repeatedly buying its inventory and passed that signal to its direct sales team. AI, in his view, could make that more systematic, surfacing advertisers, categories, markets and formats where a bigger commercial opportunity may exist, and helping owners see where to hold inventory or adjust price.
For buyers, he sketches a workflow that starts with an objective rather than a screen list. A planner might ask for a specific audience across several markets or high-impact formats on a budget, and AI could compare inventory across owners, formats and purchase methods, then propose combinations. Kanel is clear that the buyer still sets strategy; the technology handles more of the searching and comparing. He also suggests AI could narrow the divide between direct and programmatic, since advertisers think of a screen as a screen, not as one sales channel or another.
What to treat with caution
This is an essay from the CEO of a DOOH company, not a study. The claims about efficiency gains, better pricing and reduced planning hours are his forward-looking positions, and the article offers no metrics, case studies or independent results to back them. He also says his company will lean on AI to monitor pacing, delivery and screen health and recommend fixes, but that, too, is a stated plan rather than a documented outcome.
Read it as a useful articulation of where DOOH's data problems sit, and as a vendor-adjacent view of the fix. The underlying logic about metadata quality is hard to argue with; how much revenue AI actually recovers is still an open question.
Advora perspective
Editorial analysis: media owners with more than a handful of screens have the clearest reason to act. Before shopping for an AI planning or yield tool, audit what you already publish about each unit, because consistent naming, venue types, geolocation and creative specs are the inputs any recommendation engine will rely on. Kanel's argument suggests this is a prerequisite, not a nice-to-have, though the piece does not show how much discovery or pricing improves once the data is clean.
Buyers and planners should watch how inventory metadata standards evolve across planning and programmatic platforms, since that determines whether objective-first search across owners becomes practical. A proportionate step is asking sellers how current and consistent their screen data is. Treat the promised workflow benefits as a claim to test in your own planning process; the source provides no measured evidence, so conclusions on time saved or better media choices are not established yet.
Read the original announcement
