By PoppeloPublished Updated
This calculator compares your current annual order-entry effort with a scenario in which the share you specify still receives the same per-order review time. The difference is potential labor capacity, not booked savings, a quote, or a prediction of Poppelo performance.
Use a baseline you can defend
Measure monthly order volume and current hands-on minutes per order over a period that represents your normal mix. Enter your own loaded hourly labor cost rather than copying a generic wage benchmark.
For the scenario, enter the share of orders you expect to review. The calculator deliberately applies the same minutes per order to that reviewed share. It does not add implementation, exception, software, change-management, or destination-reconciliation costs.
Interpret capacity separately from cash
Potential hours returned can be reassigned to customer service, purchasing, exception handling, or other work. That operational capacity becomes cash savings only if your organization makes a separate staffing or spending decision.
Validate the scenario with your own pilot evidence. Document mix, customer vocabulary, validation policy, destination constraints, and the time needed for reviewed orders can all change the result.
Build a capacity scenario in five steps
Measure monthly order volume
Count the customer orders in scope without substituting a vendor benchmark.
Measure current handling minutes
Use hands-on order-entry time from your own workflow and representative order mix.
Choose a loaded hourly cost
Include the employer cost categories relevant to your organization and location; the calculator supplies no default.
Enter a reviewed-share scenario
Choose the proportion that would still receive human review. This is your planning assumption, not a Poppelo automation rate.
Compare and validate
Treat the difference as potential capacity, then test the inputs and omitted costs against pilot evidence before making a business decision.
| Input or output | Use | Do not treat it as |
|---|---|---|
| Monthly orders and minutes per order | Your measured current-work baseline | A public industry benchmark |
| Reviewed share | Your chosen scenario assumption | A promised Poppelo automation rate |
| Potential labor capacity | Hours and equivalent loaded labor value available for reassignment | Guaranteed savings, ROI, or headcount reduction |
Visitor-input planning tool
Capacity scenario—not a savings forecast
Enter your own baseline and reviewed-share scenario. No field contains a Poppelo benchmark or automation-rate default.
Complete all four fields to calculate your capacity scenario.
Formula
Current annual hours = Monthly orders × 12 × minutes per order ÷ 60.
Current annual labor cost = current annual hours × loaded hourly labor cost.
Scenario review hours = current annual hours × reviewed share.
Scenario review labor cost = scenario review hours × loaded hourly labor cost.
Potential hours returned = current annual hours − scenario review hours.
Potential annual labor capacity = current annual labor cost − scenario review labor cost.
Assumption boundary
Your reviewed share is your scenario input. The model applies the current minutes per order to reviewed orders and assumes non-reviewed orders use zero hands-on order-entry time. It is not a measured or promised Poppelo automation rate. Labor capacity is not guaranteed cash savings.
What this method does not establish
- The model excludes software fees, implementation effort, training, exception variability, destination reconciliation, and the time value of money.
- It assumes reviewed orders take the same minutes as the current per-order baseline and that non-reviewed orders use none of that hands-on time.
- The output is a capacity scenario based only on visitor inputs; it is not a Poppelo quote, automation-rate claim, or savings promise.
Primary references
- U.S. Bureau of Labor Statistics: Employer Costs for Employee Compensation
Primary reference explaining that employer compensation costs can include wages, salaries, and benefits. Use your own loaded cost; no BLS figure is inserted here.