Month One Is Not the Business: 13 Cups, Then 32

The Note in One Paragraph

This note looks at tech for 13 units over 18 months at a convenience store frontage, written from the buyer's side of the table. The figures are modelled rather than measured: cup volumes, price per cup and cost lines follow stated assumptions, and the arithmetic is left visible so a reader can substitute their own numbers.

The Arithmetic, Before the Result

Cup volume is stated per unit per day. Revenue is cups x 30 days x units x price per cup, taken at 13.4. Cost is consumables, the site share, power and parts. Payback is equipment spend divided by steady monthly net. No figure here is a quotation.

The model keeps the ramp separate from the steady state: the early months carry a lower cup count, and the steady figure is the plateau the site settles into once regulars appear. A reader who expects a different ramp can replace it without disturbing anything else on the page.

Every Line, Every Month

The columns are shown separately because the argument is rarely about the total. It is about which line moves fastest when a site underperforms, and which lines were fixed before the first cup was sold.

Where the Rows Disagree

The best month in this model nets about 87992, the weakest about 28724. The gap is the site's own variability rather than a change in cost, and that gap is what a trial period exists to measure.

At the modelled plateau, payback lands at 5.3 months. Read it as a reading of these assumptions, not a forecast: halve the cup volume and the same placement reads very differently.

Consumables scale with sales, so they rarely surprise anyone. The site share and the route hours are the two lines that do surprise operators, because both are agreed before the first cup and neither moves when the site underperforms.

Where service Shows Up in the Arithmetic

What telemetry does not report is the last metre: a drip tray gone sticky, cups stacked out of reach, a machine unplugged to charge a floor polisher.

The first quarter of fault data is more valuable than any specification sheet, because it says which part fails in this building rather than in a lab.

The useful split is between what a dashboard can see and what only a visit can see. Routes built on that distinction are shorter than routes built on habit.

What Buyers Ask Next

Every placement has three people attached to it: whoever restocks, whoever cleans, and whoever takes the complaint. When those three are assumed rather than named, the machine is the thing that suffers.

An one-page card with a name, a number and the three most likely faults converts a stalled machine into a two-minute fix; without it, the same fault becomes a story about the supplier.

Checks Before the Cabinet Lands

1. Check what the dashboard reports and what it omits
2. Record the first three faults with date, part and cause
3. Decide the escalation path before the first failure, not after
4. Name who restocks, who wipes and who is called first
5. Put the contact card inside the cabinet door, not in a drawer
6. Confirm the trial period and the move-out term before delivery
7. Write the modelled cup volume into the plan and review it after month one

Doing This Arithmetic Yourself

The method, stripped to five moves, runs like this:

1. Measure a week of cups in the venue, then discount the first two days as novelty traffic
2. Use the real consumable cost per cup, not the one in the brochure
3. List site share, power and parts separately so nothing hides inside a single number
4. Turn the payback into months, then into a band, and note which input the band depends on
5. Run the whole thing again at seventy percent of the volume and keep both outputs

Same Machine, Different Rooms

Venue shapes the curve more than the machine does. Four patterns recur in operator accounts, and each one moves a different line in the table.

A venue can change category within a year - a new tenant, a shift pattern, a bus route. The pattern is a snapshot, and the walkthrough is what confirms it.

The Takeaway, Stripped Down

Keep the arithmetic visible. A total without its lines is a price; a total with its lines is an argument you can win or lose honestly.

Second, the trial period is the cheapest instrument in the whole purchase. It converts an opinion about a site into a reading, and it costs nothing beyond a written move-out term.

Write the volume down before delivery. The common failure is not a bad margin on good volume; it is a good margin on volume that never arrives.

The Conditions Behind the Result

Three inputs move the result more than anything else: cups per day below the modelled floor, a site share above the modelled band, and a restock route that cannot reach the machine inside the host's hours. Each is checkable before signing, and none requires a pilot.

When somebody quotes a faster payback, ask which of the five inputs differs. A shorter number is usually a different assumption, not a better machine.

Common questions

What should a dashboard actually report?

Stock depth per line, faults with timestamps, sales by hour and the machine's online state. Anything beyond that is useful only if someone reads it weekly.

Does remote monitoring reduce service visits?

It changes them rather than removing them: fewer emergency visits, more planned ones, and a better guess at which part to carry.

What do the modelled numbers actually mean?

They are the arithmetic of stated assumptions, not measurements. Every input is listed in the assumptions section so a buyer can replace it with their own.

Why show six months instead of a full year?

Because the first six months contain the decision: the ramp, the plateau, and the first sign of which cost line moves when the site underperforms.

Related reading

• Payback in 5 Months: 4 Units at a library study area, on Paper
• Best Month $5,569, Worst $2,199: the Spread That Decides It
• Before the Second Capsule Order: exit risk at a hotel lobby bar
• Payback in 4 Months: 25 Units at a convenience store frontage, on Paper