The Short Answer
ROI = annual savings ÷ total equipment investment. Savings come mainly from lower labor, fewer mis-sort losses and higher capacity/space use. In Tegene cases, US Fontana improved labor efficiency 2-3x and a cross-border project reached payback within 2 years.
A Reusable ROI Model
Estimate payback with these steps:
- Annual labor savings = reduced sorters/temp staff × average annual labor cost.
- Annual mis-sort savings = prior mis-sort loss − loss after automated sorting (99.99% accuracy).
- Annual capacity gain = revenue from extra volume handled at higher peak capacity.
- Payback (years) = total equipment investment ÷ (sum of the three annual savings above).
Key Variables That Drive Payback
For the same equipment, payback speed differs mainly by:
- Current labor cost and hiring pressure (higher → faster payback).
- Volume and peak intensity (sharper peaks → greater automation value).
- Mis-sort cost (high-value/fragile goods → faster payback).
- Utilization and shifts (multi-shift use amortizes faster).
FAQ
Frequently asked questions related to this article:
- How long does a sorting robot take to pay back? Payback depends on labor cost, volume peaks and mis-sort losses. In the Tegene cross-border e-commerce case, payback was within 2 years; specific projects can be modeled on site data.
- How can I quickly estimate the ROI of sortation automation? ROI = annual savings ÷ total equipment investment, where annual savings combine lower labor, fewer mis-sort losses and higher capacity. Apply the model in this article to your site data.