Izy AS is rethinking how cafeterias plan, purchase, and operate by replacing intuition-driven decisions with AI-powered forecasting and sustainability insights.
To make this vision real, Izy needed more than dashboards. They needed a production-grade prediction engine that could connect fragmented data, deliver precise forecasts, and be trusted by everyday operators.
They partnered with Resimator to engineer Izy Prediction.
%
Forecasting accuracy
Saved per location, per month
Unify fragmented operational data into a single, reliable source of truth.
Predict demand weeks in advance, not just report on the past.
Serve multiple user roles with distinct access and insights
Meet enterprise-grade security requirements
High-precision predictive modeling: Forecasts guest counts and sales volumes 2–4 weeks ahead with up to 95% accuracy, enabling proactive planning instead of reactive fixes.
Rapid learning architecture: Unlike traditional forecasting systems, Izy Prediction delivers reliable outputs with as little as one month of transaction data, accelerating time-to-value.
Secure, scalable foundation: Built with multi-factor authentication and granular access controls, ready for expansion across locations and future integrations.
Predictable Demand Replaces Guesswork (Revenue, Risk) With 95% forecast accuracy, operators can plan purchasing and production with confidence, reducing stockouts, overproduction, and lost sales.
Lean Staffing Without Service Degradation (Cost, Speed) Forecast-based scheduling reduced personnel costs by 15% while maintaining service quality during peak and off-peak periods.
Fast Time-to-Value for New Locations (Speed) The system delivers reliable forecasts after just one month of data, enabling rapid onboarding of new cafeterias without long data-history requirements
Operational Trust at Scale (Risk) High user satisfaction and secure, role-based access ensure the platform is adopted, trusted, and scalable across organizations.
