Why measure before buying
An autonomous cleaning robot shouldn't be evaluated by its purchase price alone. In a hotel, the return appears when you measure hours freed up, service stability, fewer incidents and the ability to cover slots where staff are more expensive or harder to organise. That's why at Alpha Robotics we recommend starting with an operational assessment and defining indicators before deploying the robot. This article explains the method and applies it to an example with visible assumptions that you can replace with your own figures.
Three figures you should not mix up
Hours freed up: the manual working time the robot covers. Value of the freed-up capacity: those hours multiplied by the fully loaded labour cost; it is capacity the team can devote to rooms or guest service, not cash coming in. Realisable monetary saving: the share of that value that turns into lower real spending (shifts not covered, overtime or outsourcing avoided). For example, 2.5 h/day × 26 days = 65 h/month of freed-up work; that does not automatically mean cutting 65 hours of payroll.
The metrics that matter
Area cleaned per shift, staff hours spent on common areas, recorded incidents, the cost of night shifts and compliance with cleaning audits. In hotels of 100 to 250 rooms, the greatest potential is usually in the lobby, floor corridors, spa areas, event areas and high-traffic spaces that require repetitive routines.
A reproducible example with visible assumptions
This is an example, not a quote or a customer result. You can reproduce it in the configurator (hotel vertical, 150 rooms, only "Floor cleaning", 2,500 m²/day, wet floor) and replace each assumption with your own data.
| Assumption | Value | Source |
|---|---|---|
| Common areas to clean | 2,500 m²/day, hard floor (scrubbing) | Example assumption |
| Proposed robot | 1 KLEENBOT C40 (up to 1,100 m²/h ⇒ ≈2.3 robot hours a day) | Configurator and C40 product page |
| Manual work covered | 2,500 m² at 300 m²/h ≈ 8.3 h/day; at 70% average occupancy ⇒ ≈175 h/month (≈1.1 full-time days of 160 h) | Configurator defaults |
| Fully loaded labour cost | €18/h + 20% hidden costs = €21.6/h | Configurator defaults |
| Realisable saving factor | 50% (only half of the freed-up capacity becomes lower spending) | Configurator's conservative factor |
| Maintenance and support | Alpha Care Pro: €105/month per robot | Configurator (Pro level) |
| Energy and consumables | €65/month | Configurator default |
| Supervision and incidents | 15 min/day of team time ≈ 6.5 h/month ≈ €140/month | Example assumption |
| Investment (purchase) | C40 from €12,500 + VAT, plus €1,000 for deployment, mapping and training | Indicative public price; deployment: assumption, quoted during the assessment |
| Service fee (OpExFlow) | €537/month, all inclusive, 48 months, Alpha Care Pro included | Configurator for this scenario |
| Item | Purchase | Monthly-fee service (OpExFlow) |
|---|---|---|
| Hours freed up | ≈175 h/month | ≈175 h/month |
| Value of freed-up capacity | ≈€3,780/month | ≈€3,780/month |
| Realisable saving (50%) | ≈€1,890/month | ≈€1,890/month |
| Monthly costs | €170 (Alpha Care + consumables) + €140 supervision = €310 | €537 fee + €140 supervision = €677 |
| Monthly result | ≈€1,580/month net saving | ≈€1,213/month operating benefit |
| Payback | €13,500 / €1,580 per month ≈ 8.5 months | No investment to recover: over 6 months, ≈€7,280 of operating benefit versus €3,222 in fees |
Sensitivity to the realisable saving factor (purchase): at 25% (€635/month net) payback stretches to ≈21 months; at 100% (€3,470/month) it drops to ≈4 months. That is why the factor must be set with your real shifts, not a generic value.
Which costs to always include
Investment and deployment (mapping, training, accessories), maintenance and support, energy and consumables, the team's supervision time, incidents and, if you contract a service, the fee. For a purchase, payback is the initial investment divided by the monthly net saving, provided it is positive. For a monthly-fee service, compare the operating benefit with the costs of the contracted period, with no initial investment. Ownership, maintenance and continuity conditions depend on the contracted option.
Six months: evaluating is not recovering
Six months is a good period to evaluate with real data (a 2–4 week pilot plus follow-up), not a payback promise. In the example, the investment is recovered in about nine months with a 50% saving factor; it only drops below six months if most of the hours covered were actually paid hours, such as outsourced night shifts. Your figure comes from your shifts, your floor area and your cost per hour.
How to set up a pilot
A measurable pilot should last between 2 and 4 weeks. During that period you compare times, routes, incidents and the team's perception, and you set the three figures of the method: hours freed up, capacity reassigned and realisable saving. The goal isn't to replace everyone but to free staff from repetitive tasks so they can focus on points where human judgement adds the most value.
Conclusion
ROI is calculated with real operating data and explicit assumptions, not generic promises. If the hotel has enough floor area, repetitive shifts and cost pressure, a KLEENBOT C40 can become the logical first step to automate cleaning without changing the entire operation; the free assessment exists precisely to replace this example's assumptions with your figures.
Want to apply this in your facility?
Request a free assessment and we'll review the surface area, shifts, priority areas and recommended first robot with you.
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