Economic impact
Milo doesn't grow revenue in just one way. The system combines consistent upselling, easier reordering and more usable table capacity. Below you'll find the research data and the deliberately conservative scenarios from the business plan.
revenue per table as the industry benchmark for well-executed suggestive selling
higher average bill in peer-reviewed research on tabletop technology
shorter meal duration in the same study
higher revenue productivity per minute
Where the extra revenue comes from
Milo is available throughout the whole visit. That means revenue growth doesn't depend on a single sales moment or on one exceptionally good waiter.
With every order, Milo can suggest a fitting extra at the right moment: a drink, starter, side or dessert. The system never gets tired and doesn't stop selling when it gets busy. Milo also records which recommendations were made, which were accepted and what they bring in.
Business plan: industry benchmark for suggestive selling +10–15% revenue per table and +10–20% average bill. The Milo scenarios deliberately assume less.
If a guest wants another glass of wine or an extra dish, they don't have to wait for a waiter to come by. Milo stays available at the table. That keeps buying intent alive throughout the visit and makes ordering again easy.
Business plan: an analysis of 2.6 million transactions across 66 restaurants found roughly 1% higher revenue per bill and roughly 11% higher revenue productivity per minute.
Ordering, reordering, asking questions and paying can partly be done by the guest. That means the same staffing can serve more tables, and a shorter dining time can create extra table capacity when there's demand.
Peer-reviewed data in the business plan: −9.7% meal duration. Other Cornell research found −17% with digital ordering and −31% with digital ordering and payment.
After a happy visit, Milo makes the review request part of the guest journey. More and better reviews can support visibility and future demand. This effect is deliberately not included in the revenue calculation below.
Business plan: HBS research linked +1 star at independent restaurants to roughly +5–9% revenue. TripAdvisor platform data reported roughly +2% extra revenue at 51–100 reviews.
Worked example from the business plan
The business plan uses three scenarios. The percentages are not a forecast or a guarantee, but a transparent model based on separately researched revenue and capacity effects.
| Cautious | Average | Very successful | |
|---|---|---|---|
| Existing monthly revenue | €100,000 | €100,000 | €100,000 |
| Upselling | +5% | +10% | +20% |
| Extra capacity used | +3% | +6% | +10% |
| New estimated revenue | €108,150 | €116,600 | €132,000 |
| Total direct increase | +8.2% | +16.6% | +32.0% |
| Extra revenue per year | €97,800 | €199,200 | €384,000 |
Why deliberately conservative? For upselling, the model uses 5%, 10% and 20%. For extra capacity just 3%, 6% and 10%, while the research cited shows dining time 9.7–31% shorter. Only extra capacity that is actually used brings in revenue.
Calculate it yourself
Enter your own monthly revenue and pick a scenario. You immediately see what Milo costs, what extra revenue the model calculates and what's left at the bottom line.
This result is a model, not a forecast or a guarantee. The percentages come from the research above and were deliberately chosen to be conservative. They are not measured results from a pilot. Reviews, fewer mistakes and staff efficiency are deliberately not counted as revenue.
Not counted
To keep the numbers clean, the business plan leaves several possible benefits out of the revenue forecast.
Extra visits from a stronger online reputation are additional potential.
Less waiting, your own language and real-time tracking can influence repeat visits. Without our own pilot data, no percentage has been added.
Fewer wrongly prepared dishes can save ingredients, labour and compensation. That improves your margin, but is not extra revenue in this model.
Research found up to 65% less active service time per table. That explicitly does not mean 65% fewer staff, so it has not been added as revenue.
Sources
This page draws on research into tabletop technology and online reviews. The original publications are listed below.
FAQ
That depends on your restaurant. The business plan uses three scenarios (cautious, average, very successful): at €100,000 monthly revenue that is a direct increase of 8.2%, 16.6% and 32%. It is a model based on research, not a forecast or guarantee. Use the calculator on this page to work it out with your own revenue.
You pay €0.15 per order that comes in through Milo's AI and 0.5% of the payments processed through Milo. No set-up cost and no subscription. At €100,000 monthly revenue and an average spend of €45 per order, that comes to about €833 per month (worked example).
On research into tabletop technology in restaurants (Management Science, Cornell) and Harvard Business School research on online reviews. The sources are listed at the bottom of this page. Revenue from reviews, fewer errors and staff efficiency is deliberately not counted.
Also in Milo
Use your own monthly revenue, average spend and table occupancy. In a demo we'll show you where Milo creates the biggest revenue opportunities in your place.