Real Business Examples
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Real problems, real numbers. Simulation — tweak the inputs yourself and see what happens — then open the app with one click.
My morning rush is chaos. Customers are walking out. Do I need another person, or is something else broken?
A simulation reveals how wait times pile up — and shows the ROI of hiring before you spend a dollar.
See walkthroughLast year I sold out in November. The year before I marked down 40% of my stock in January. There has to be a smarter way.
Simulation reveals the profit-maximizing order quantity when the cost of running out exceeds the cost of excess.
See walkthroughWe're booked two weeks out. I assume I need more capacity — but a third lift costs $38,000. What if I'm wrong?
Mapping the workflow reveals the real bottleneck is the service writer, not the bays — changing the entire calculus of the investment.
See walkthroughI book 30-minute appointments but patients wait half an hour past their slot. I've lost 4 patients this quarter and I don't know why.
Type-based booking for new vs. recall patients prevents delays from snowballing and cuts end-of-day delay from 45 minutes to under 7.
See walkthroughMy last four projects went over hours. I keep thinking it's bad luck. What if it isn't?
Why your project estimates may be systematically too low — and a range-based quoting policy that improved margins by 18 points.
See walkthroughWe promise 4 weeks. We hit it maybe 60% of the time. Customers are getting frustrated and I don't know if I need to hire or just reorganize.
Simulation exposes the finishing station as the true bottleneck — a part-time finisher raises on-time delivery from 61% to 89% at a fraction of a full hire.
See walkthroughMy bids feel solid. But three out of my last five jobs came in over budget. I've been doing this for 12 years — am I missing something?
When several cost items are uncertain at once, the risk adds up — a flat 10% contingency is often too low for complex jobs. A tiered buffer fixes the margin.
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