Case
Studies
Explore a range of innovative applications of AI-driven personalization across various sectors, including retail, shopping malls, stadiums, and convenience stores at oil and gas stations. These solutions leverage real-time data to boost purchases, and provide valuable insights to optimize marketing strategies.
In-Store Ad Personalization with AI
An AI solution that boosts impulse purchases by displaying personalized ads instantly when within range. It connects to loyalty programs and provides real-time store audience data.
Personalized Ads for Captive
Riders
This AI solution delivers personalized ads to riders based on their profile and trip details, creating high-value ad space for premium brands, and enabling new revenue for vehicle owners.
Audience-Driven Placements for Transit
Built for Airports and Public Spaces to maximize ad revenue and reach. This solution helps secure premium advertisers by placing boards in high-traffic waiting areas and providing real-world conversion metrics.
In-Stadium Crowd Engagement
An AI-powered platform designed to enhance fan engagement and optimize sales within stadiums. By utilizing real-time data, it personalizes the experience for attendees and maximizes revenue opportunities.
Shopping Mall Ad Personalization
Designed to enhance shopper engagement by displaying personalized ads throughout the mall. It connects to loyalty programs and gathers real-time data on foot traffic and shopper preferences.
Real-Time Ad Rotation Based on Crowd Profile
Built for Sports Bars to boost sales and maximize screen value. This AI system analyzes the live crowd profile to instantly show the most relevant ads, like timely happy hour specials or sponsored campaigns.
Data-Driven Messaging in Urban Infrastructure
Built for Smart Cities to turn digital infrastructure into a dual-purpose messaging tool. This system enables both emergency broadcasts and hyperlocal ads for nearby businesses (especially SMEs).
Oil and Gas Convenience Stores
Transforming the shopping experience at oil and gas station convenience stores. By leveraging real-time data, it personalizes product recommendations and optimizes inventory management to drive sales.
