Despite widespread IoT use, user consent for data sharing—especially for connected thermostats—was low, limiting the company’s insights and personalization.
To boost trust and participation, the company enhanced its app with behavioral analytics, user segmentation, gamification, and in-app incentives.
This strategy aimed to increase opt-in rates and unlock the full value of its IoT ecosystem.
To overcome user reluctance and boost engagement, the company built a scalable, AI-powered real-time data platform.
It processes IoT data via AWS, Kafka, Datafusion, and BigQuery, applying behavioral analytics to promote sustainable energy use.
The modular system supports dynamic user clustering, real-time insights, and seamless integration with the app and third-party services.
This solution enables all users to access insights and interact with the platform effectively.
With the platform live, the company advanced data-driven engagement by ingesting real-time IoT streams enriched with user context.
AI-powered behavior segmentation enables precise targeting, while personalized alerts deliver actionable insights through seamless app integration.
This clear value boost has increased user opt-ins, unlocking greater benefits for both the company and its customers.
About the Company
Based in Treviso, Italy, the company is a global leader in automation and access control solutions for residential and industrial markets. With decades of experience, its portfolio includes gates, barriers, intercoms, and smart devices. Expanding into IoT, the company is now leveraging its strategy of delivering intelligent data-driven services.
Vertical/horizontal solution
Manufacturing & Industrial
Primary project location
Italy
Products
Google Cloud Platform