Smart Display
AI-powered digital signage delivers personalized, dynamic content on large public displays to boost engagement and sales
Business impact
- Customer Engagement — Improved by delivering personalized, relevant content that attracts and retains users
- Sales — Increased through targeted promotions and dynamic pricing shown on smart displays
- Customer Satisfaction — Raised by providing seamless, intuitive interactions and relevant information
- Operational Efficiency — Enhanced by automating content updates and remote management of displays
Data requirements
- User interaction logs (Structured) — Track user behavior to personalize content and improve recommendations
- Sensor data (e.g., foot traffic, audience demographics) (Numeric) — Analyze real-time audience characteristics to adapt displayed content dynamically
- External data feeds (weather, transit, events) (Text) — Provide contextual information enhancing display relevance and utility
- Visual input from cameras (Image) — Detect audience attributes like age, gender, and sentiment for content targeting
AI methods and techniques
- Predictive AI — Forecast user preferences and demand to optimize content and inventory display
- Generative AI — Create personalized messages and dynamic visual content for enhanced engagement
- Agentic AI — Autonomously manage content updates and user interactions on smart displays
AI models and model families
GPT-4o, Claude, α9 AI technology
Industries
Real-world evidence
9 documented case studies on record.
Companies using this: Adidas AG, LG Electronics, Lotte Department Store, Mc Donald, Novi Sign, Reliance Retail, Shoppers Drug Mart, Tesco, Walmart.
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