Digital signage has been used for many years to show information, entertainment, merchandising and advertising in commercial and retail environments. Artificial intelligence and faster networks have changed what a screen can do.
The first systems were networks of displays controlled remotely, so content could change for different audiences, times and locations. With AI added, the same networks can personalize marketing and respond to what is happening in the store.
AI-driven digital signage chooses which content to play based on who is in front of the screen and what is happening in the store, so a shopper sees fewer irrelevant messages.
The hardware includes LED walls, projectors and LCD monitors. They show webpages, videos, directions, menus, promotional messages and images.
Stores install them as large video walls, big screens or compact units on top of shelves, to keep shoppers looking at store content instead of their phones.
Retailers now treat screens as a normal part of the store. Computer vision and analytics let a screen change its content in response to conditions around it, such as crowd size or time of day.
A quick-service restaurant can set its menu board to promote items that are quick to prepare while the queue is long, then switch to higher-margin products when the queue shrinks. The screen speeds up service during the rush and promotes the more profitable items when there is time to read.
AI can measure engagement on digital signage platforms, so retailers can look at the collected data and adjust their content.
Radar and computer vision can estimate viewer demographics, how long people watch, and how they react to the content, without identifying individuals. Retailers get data on in-store campaigns similar to what online marketing already reports.
SeenLabs runs on a cloud CMS. Content changes are published from a web interface and reach the screens within moments.
A creative team at SeenLabs produces content assets for brands to use on the screens. In-store analytics show which content works, so brands can change what does not.
AI-driven signage can match content to the audience in front of the screen. For example, a display can use computer vision to estimate a shopper's age group or interest and adapt the visuals, so the shopper sees promotions that apply to them.
By changing displays based on store conditions. A quick-service restaurant can show speed-sell items on its menu board when the line is long and higher-margin drinks when the line clears. Interactive video walls and shelf-top displays also keep customers looking at the store instead of their phones.
Analytics can collect data on who is watching without identifying anyone. Radar or camera vision estimates demographics, dwell time and reactions to content. Store teams get data on how customers respond to campaigns, similar to online shopping data, and can change content based on it.
Content updates are published from anywhere through the web interface. When analytics show a campaign underperforming, you swap the creative from the same interface. A SeenLabs creative team prepares content assets for brands to use. The platform ties content and analytics together, so you can measure results and change the next version.
SeenLabs puts content delivery, content production and analytics in one package: a cloud CMS, rich media and AI insights. The retailer decides what to display and sees how it performs in the same system.
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