INNOVATION PLAN






AI Data Analysis
At Dévorer, data is at the core of our operations. By leveraging advanced AI, computer vision, and footfall sensors, we track key performance metrics such as campus footfall, conversion rates, top-performing cuisines, student price sensitivity, and broader behavioural insights.
These real-time analytics enable us to optimise vendor offerings, drive revenue growth, and support universities in making data-driven decisions that enhance the student experience—both within dining spaces and across the wider campus ecosystem.

As our footprint grows, the compounded strength of our data sharpens — enabling us to forecast trends, personalise offerings, and fine-tune operations with precision across campuses.
Food Robotics
The Future of Space:
Automated, Scalable, Global
Dévorer is stepping into the future of food through cutting-edge robotics — transforming public spaces into hubs of automation, and innovation. We are sourcing autonomous vending solutions like the self-serve Bubble Tea machine currently live at LSE. These smart units are designed to operate with minimal human input while delivering high-impact user engagement.
Targeting the educational sector as a launchpad, Dévorer is leading the development of scalable, autonomous, and hybrid food solutions — with a vision to expand across campuses, retail, and high-footfall public spaces. This is more than a convenience; it’s a reimagining of how food can be delivered: automated, scalable, and global.
Interactive Solutions
At Dévorer, we are committed to shaping the future of food access through innovation and technology. In partnership with GW Robotics, we are introducing autonomous delivery robots to the educational sector — redefining how food is delivered across campuses.
This collaboration not only enhances convenience for students and staff but also supports our broader mission of encouraging local sourcing and on-site food distribution across university campuses — helping to create smarter, more self-sustaining campus ecosystems.
