The rush is a delivery problem
Your café has a morning queue. A digital ordering offer makes a shorter payment step look like the obvious fix. Yet customers pay for drinks they can collect, and accepting payment faster can leave the real delay untouched.
Consider a hypothetical café. All figures below are assumed, not measured. Demand is a steady 36 orders per rush hour. The counter can accept 40; the barista finishes 30. The manager can spend €320 monthly across 20 rush hours.
Faster intake still leaves six waiting
The digital option costs €80 per month in total and accepts 60 orders per hour. Drink capacity stays at 30, so 36 − 30 = 6 orders join the backlog each hour. It fits the budget but misses the service goal: stop the queue growing. Payment has secured a sale without making the drink ready. Think of the backlog as a stack of promises: every payment still leaves a drink to deliver.
A helper changes the limiting step
Alternatively, hire a pickup helper to stage cups and hand drinks to customers. The total cost is €15 per hour. For 20 rush hours, €15 × 20 = €300 per month. Assume this removes interruptions and reduces the barista’s work per order from two minutes to 1.5. Then 60 ÷ 1.5 = 40 drinks per hour, leaving 40 − 36 = 4 orders’ worth of spare capacity. Keep counter ordering and choose the helper under these assumptions.
Watch ready times before committing
During a rush-hour trial, log each order’s “accepted” and “ready” times. Count unfinished orders at both ends of the hour. If that count rises, or completed drinks stay below 36, the helper has not delivered enough capacity. Recheck the work split before extending paid hours.
Less demand changes the decision
Now change the same hypothetical café’s demand to 24 orders per hour. Existing capacity leaves 30 − 24 = 6 drinks per hour spare. Keep current staffing; neither purchase is justified solely by queue reduction. Buy capacity only at the step that limits the observed peak demand.