
Real Autonomy. Real Impact.
Autonomous operations create real value: lower operating costs, higher productivity and minimized risk.
Five levels of autonomy, at the pace your site needs
Every case starts with Lv.1 data connection and moves up one level at a time to fit the site.
Autonomy at work on real sites
Integrated monitoring of cold storage and refrigerated trucks
Manages temperature and equipment condition across the entire cold chain, from storage to delivery.


01. The Challenge
Company I, a meat processor and distributor, must keep its cold storage facilities and delivery vehicles at a constant temperature to protect the quality of raw materials and products. Because its facilities are spread across several regions, managers had to visit each site in person to check equipment records.
Temperature rises caused by compressor faults, defrost malfunctions or doors left open were often missed, leading to lower product quality and spoilage losses. And once products were loaded onto refrigerated trucks, temperature records had to be checked separately, making it hard to manage the cold chain consistently from storage to delivery.
02. Our Solution
Modapl connected to the existing controllers and sensors in the cold storage facilities to collect key operating data, including temperature, humidity, compressor and defrost status, door openings and power consumption. Data scattered across facilities was integrated into one cloud platform and made available in real time through a web dashboard and mobile app.
Managers receive instant alerts for temperature excursions, equipment faults and communication failures, and remote control was implemented through the existing controllers. Location and cargo-temperature data from refrigerated trucks were linked as well, creating one environment to manage the entire cold chain from storage to transport.
03. The Outcome
Instead of managing facilities and vehicles separately, the company now monitors and remotely manages the entire cold chain, from storage to transport, in one system.
What’s next : Lv.2 → Lv.5
The system can expand to AI-based failure prediction for refrigeration equipment, energy optimization, automatic temperature control tailored to the products in storage, and control strategies that improve based on operating results.

What level is your site at today?
We'll assess your site's current level of autonomy with you and propose the most effective next step.