AI receptionist savings estimator
Move the sliders to match your restaurant. The estimate updates as you go. All amounts are in Canadian dollars, per month unless stated.
Use your own numbers. If you are unsure, keep the starting value.
Monthly profit and time gained, against what the call minutes cost.
Each dot is one call. Calls that go unanswered today are calls that may never come back.
Running total after the setup fee and each month's cost. Once the line crosses zero, the solution has paid for itself.
Same restaurant numbers, three views of how well the AI performs.
This is an estimate from the numbers entered above, not a promise of results. Recovered sales are counted at profit, not revenue. Staff time freed up is valued at your wage cost: it becomes a cash saving only if hours are reduced, or redirected to work that earns money. Taxes (GST/HST) are not included. The cost shown is calls multiplied by average call length at the per-minute price. Real call data from your first weeks replaces these assumptions.
You enter calls per day, days open, the share of calls missed, the share of calls that are orders or bookings, average order value, profit margin, staff minutes per call and staff cost per hour, then the AI's average call length and price per minute. The estimator calculates profit on recovered sales, the value of staff time freed up, the cost of the call minutes and the net benefit per month, with a 12-month payback chart.
They are three views of how well the AI performs. Cautious assumes it answers 60% of the calls you miss today and frees 40% of staff phone time. Expected assumes 80% and 60%. Optimistic assumes 95% and 80%. Start with expected and compare.
Only if you reduce hours or redirect that time to work that earns money. The estimator values freed time at your wage cost, which is why it is shown separately from profit on recovered sales.
They are placeholders for a typical restaurant, not benchmarks. Use your own phone log for call volume and missed calls. If you are unsure, keep the starting value and adjust.
Yes. Treat "orders or bookings" as appointments and "average order or booking" as the value of a typical appointment. See the AI receptionist pages for each industry.
No. It is an estimate from the numbers you enter. Real call data from your first weeks of a pilot replaces these assumptions.