Refrigeration is one of the largest and least optimized energy costs in food production, wholesale, and cold storage — yet most systems still run on fixed schedules set decades ago. Coldsense Technologies changes this by retrofitting existing installations with a proprietary combination of ice sensors, door sensors, and environmental sensors, giving the system a real-time picture of actual thermal load. A machine learning engine continuously analyzes this data and triggers the right action at the right moment — demand-driven defrost, dynamic setpoint adjustment, or peak load reduction. No infrastructure replacement is needed, making the solution accessible for businesses of all sizes. Results across multiple deployments show energy savings of up to 40%, defrost cycles reduced by more th ...