The clearest ROI case for Cleanslate is simple: kitchens are spending too much labor on scraping and pre-wash handling, and that cost repeats every single meal period. When that step is automated without a full kitchen overhaul, payback arrives quickly.
The Actual ROI Case
Our current model shows a 4-month payback period and at least an 88% first-year return. Those figures are not generic industry placeholders. They were calculated with dining hall managers at UIUC based on ISR, Ikenberry, and Hendrick House conditions.
The biggest driver in that model is labor. Dishrooms repeatedly assign employees to a wet, repetitive scraping step that adds little strategic value but costs real time every shift. Cleanslate removes that burden, standardizes plate condition before wash, and lets teams use employees where they are more valuable.
Why the Payback Is So Fast
Fast ROI depends on two things happening at once. First, kitchens save on the labor hours tied up in scraping, residue removal, and dishroom backups. Second, they do not have to absorb the cost of a major rebuild to get those savings. Because Cleanslate is a retrofit solution, the kitchen keeps running and the value starts earlier.
That combination matters. A system that saves labor but requires a long shutdown weakens its own business case. A system that installs quickly and immediately reduces manual pre-wash work creates a much shorter path to payback.
These headline numbers come from the UIUC dining model where ISR provides the strongest early payback case. The figures below break out the two larger scenarios separately and keep Hendrick House as the smaller, less compelling comparison point.
ISR Model
ISR serves roughly 2,500 students per meal, and dishroom handling currently relies on 6 student workers and 1 full-time worker per shift. With Cleanslate's first-generation setup, that handling load drops to 3 student workers, effectively taking the dishroom labor requirement from 7 people to 3 for that part of the line.
Ikenberry Model
Ikenberry serves roughly 1,500 students per meal and shows the same logic with a less aggressive return. The scraping task is currently handled by roughly 5 workers for around 6 to 7 hours per day. With Cleanslate, the labor need drops by 2 workers, taking the scraping line from roughly 5 people to 3.
Labor Assistance Is the Core Benefit
This is not just about replacing a task with a machine. It is about helping kitchens use their employees better. Instead of staffing the most repetitive and unpleasant dishroom work, managers can move people toward roles that support service, consistency, and operational flexibility.
That is why labor savings show up so strongly in the ROI. Cleanslate does not ask the kitchen to become a new facility. It helps the current team spend less time scraping plates and more time doing work that matters elsewhere in the operation.
A Note on Scale
Scale still matters, but it is a secondary point, not the headline. The UIUC comparison showed stronger economics in larger conditions like ISR and Ikenberry, while smaller conditions like Hendrick House are a more conservative case. The main takeaway is still the same: where labor-intensive dishroom pain is real and recurring, Cleanslate can pay back fast.