Optii Solutions review: the housekeeping AI that wants you to trust its maths

I keep a spreadsheet for every piece of software that touches my 80-room city hotel in Amsterdam. Monthly cost, cost per room, hours saved, revenue impact, and a column I call “would I notice if this disappeared.” Optii Solutions landed in that spreadsheet because of a claim I couldn’t ignore: AI-powered route optimisation that reduces housekeeping labour costs by up to 18%. Labour is my single largest controllable expense. If someone tells me they can cut it by almost a fifth, I’m going to test that claim. And then I’m going to check their working.

This is part of our housekeeping comparison. I tested Optii at my Amsterdam property over eight weeks, tracking everything I could measure against my existing manual scheduling process. The short version: the AI does work, the labour savings are real (though not 18% in my case), and the product has a clear value proposition that I can quantify. But the pricing is hidden behind a sales call, the Android app is a problem for my team, and the company’s ownership structure raises questions I couldn’t fully answer.

Who makes this thing

Optii was founded in 2006 by Soenke Weiss on Queensland’s Sunshine Coast in Australia. That’s unusual. Most hotel tech companies come out of Silicon Valley, or increasingly out of European cities like Amsterdam, Barcelona, or Prague. Weiss built Optii from a revenue management background, which explains why the product thinks in labour cost per room rather than just room status updates. The company is now headquartered in Austin, Texas, with offices in New York, London, and Brisbane. The Australian roots show in the customer base: more than half of the feedback I’ve encountered comes from Australian and New Zealand properties.

Katherine Grass is CEO. Weiss moved to the Founder and Chief Strategy Officer role. The company raised $6.7 million in total funding, including a $4 million Series A in 2018 from Thayer Ventures, Kinetic Ventures, and Camber Creek. That’s not a lot of money. For context, Cloudbeds raised $245 million and I still found bugs in their reporting. Sometimes a lean operation produces more disciplined software. Sometimes it means the product is under-resourced. With Optii, I’ve seen evidence of both.

The ownership question is important. In December 2021, Optii was acquired by MCR Hotels, the fourth-largest hotel owner-operator in the United States. MCR runs about 140 branded and independent hotels and also owns Stayntouch PMS. I initially heard from a colleague that Duetto had acquired Optii, but that’s wrong. Duetto, the revenue management company, was acquired by GrowthCurve Capital in 2024. Completely separate. MCR is the parent. This matters because MCR isn’t a private equity firm looking to extract value and flip the company. They’re an operator. They use Optii in their own hotels. That’s a different incentive structure than what you see with most VC-backed acquisitions, and after my experience with Cloudbeds and the SoftBank question, I’ve become more attentive to who owns the software I depend on.

Still, MCR also owns Stayntouch. If you’re running Oracle OPERA or Mews, does the Stayntouch sibling relationship affect how seriously Optii invests in your PMS integration? Optii is an Oracle Gold Partner, and the Mews integration exists, so this may be a theoretical concern rather than a practical one. But I noticed it and I’m mentioning it.

The company reports estimated revenue of around $4.3 million and has roughly 37 to 39 employees, though they added nearly 30 new hires in 2025. Over 150 new properties went live that same year. Those are growth-stage numbers from a company that’s been around for 20 years. It tells me Optii was a slow burn for a long time before the MCR acquisition accelerated things.

What Optii actually does

Optii sells four modules: Housekeeping, Service, Chat, and Maintenance. I tested Housekeeping and Service. The core product is Housekeeping, and it does something I haven’t seen elsewhere: it uses machine learning to predict cleaning times per room based on guest profile, stay length, room type, and historical data, then routes room attendants through the building in an optimised sequence. Think of it as Google Maps for your housekeeping team, except the destinations are rooms and the traffic data is check-out patterns and DND requests.

The pitch is that manual room assignment wastes time. A supervisor spends 30 to 90 minutes each morning looking at the room list, figuring out who goes where, scribbling it on paper or a whiteboard, then adjusting all day as rooms flip from occupied to dirty to clean. Optii automates that process and, because it learns from your data over time, gets better at predicting how long each room will take to clean.

The Service module handles task management for non-housekeeping requests: maintenance tickets, guest requests, minibar restocking, that sort of thing. Chat provides internal messaging with inline translation, which is useful when your housekeeping team speaks four different languages (mine speaks three). Maintenance does predictive and preventative maintenance tracking. I focused on Housekeeping because that’s where the labour cost claim lives, and labour cost is what I care about.

The pricing question

You already know how I feel about this. If I need a demo call to see your pricing, I already know it’s too expensive. Or at least, I know you think I’ll be scared off by the number if I see it without context.

Optii doesn’t publish pricing. Not on their website, not on any review platform, not anywhere I could find. The model is per room, per month, which is standard for the category. I had to book a call, explain my property, describe my needs, and wait for a quote. The sales rep was knowledgeable and the call was efficient. I’ll give them that. But I shouldn’t have needed the call at all.

I can’t share my exact quote because the proposal included a confidentiality note about pricing, which itself tells you something. What I can say is that the per-room cost for Housekeeping alone at my 80-room property was in a range where the labour savings need to be real for the ROI to work. Adding Service and Chat pushed the monthly cost higher, and at that point I started running scenarios in my spreadsheet: how many minutes per room does Optii need to save before the subscription pays for itself?

I looked at what hotelkit and Flexkeeping charge in this category. Both are more transparent about their pricing, and both start at lower price points for similar-sized properties. Neither offers the AI route optimisation that Optii sells as its differentiator. So the comparison isn’t apples to apples. But when I’m evaluating cost per room per month, I want to see the number next to the competitors’ numbers before I start weighing features. Optii makes that comparison harder than it should be.

On the US enterprise end, Actabl is the obvious competitor, but they’re building for large American chains with hundreds of properties, not for an 80-room independent in Amsterdam. Different product, different price bracket, different conversation.

Eight weeks with the AI

I ran Optii alongside my existing manual scheduling for eight weeks. My head of housekeeping, who has been managing room assignments on a whiteboard for four years, was sceptical. She’s good at her job. She knows which rooms take longer (the suites on floor four), which attendants work faster, and which check-out patterns repeat on weekdays versus weekends. Her worry was that the software would make assignments that looked good on a screen but didn’t account for the things she knows intuitively.

Week one was calibration. Optii ingests your PMS data, learns your room types, and starts building its model. The assignments it generated in the first few days were adequate but not better than what my head of housekeeping was doing manually. Some routes sent attendants back and forth between floors in a way that wasted time on the lifts. She flagged it. She was annoyed. I told her to give it two more weeks.

By week three, the assignments improved noticeably. The system had learned our floor layout, our average cleaning times by room type, and the patterns in our check-out data. It stopped routing people across floors unnecessarily. It started grouping departures and stayovers in ways that minimised travel time between rooms. My head of housekeeping, who had been tracking her own times alongside the system, admitted that the AI’s assignments were saving roughly 2 to 3 minutes per room on average. Not 3 to 5 minutes as Optii’s marketing claims, but real savings nonetheless.

Let me put numbers on that. My hotel has 80 rooms. At an average occupancy of 73%, that’s about 58 rooms to clean per day. If Optii saves 2.5 minutes per room, that’s 145 minutes saved daily, or about 2.4 hours. My housekeeping staff cost me roughly €16 per hour fully loaded (salary, social contributions, insurance). That’s €38.40 saved per day, or about €1,150 per month. Over a year: approximately €13,800 in labour cost savings.

That number is real. I tracked it. I verified it against payroll data over the eight weeks. The savings ranged from €900 to €1,300 per month depending on occupancy, with higher savings during busier periods when the route optimisation had more rooms to work with.

The other thing that improved was the morning setup time. My head of housekeeping used to spend 40 to 55 minutes each morning building the room assignment board. With Optii, the system generates the assignments automatically and she spends about 10 minutes reviewing and adjusting them. That’s 30 to 45 minutes of supervisory time saved every single day. She now uses that time for floor inspections, which has improved our room quality scores.

The vendor case studies track with my experience, roughly. The Ritz-Carlton Cleveland reported cleanliness scores jumping from 60% to 90% after adopting Optii. QT Wellington in New Zealand saw 30% faster cleaning times and 60% faster turnarounds. Crowne Plaza Hunter Valley in Australia achieved a 21% productivity improvement in three months. My results were more modest, probably because we weren’t starting from a paper-based system. We already had a competent supervisor running a decent process. Optii improved a process that was already working. It didn’t transform chaos into order. That distinction matters when you’re evaluating the claims.

The 500% ROI problem

Optii’s marketing materials reference a “500% ROI within months of implementation.” I want to address this directly because it’s the kind of claim that makes me reach for my calculator and then put the product back on the shelf.

At my property, the ROI looks like this: annual labour savings of approximately €13,800 against an annual subscription cost that I’ll characterise as meaningful but not exorbitant. The ROI is positive. It’s good. But it’s not 500%.

To get to 500% ROI, you’d need labour savings of five times your subscription cost. That’s plausible if you’re a large resort with 300 rooms, a huge housekeeping team, and you’re replacing a chaotic paper-based system where cleaning times were wildly inconsistent. In that scenario, the absolute savings could be enormous relative to the software cost. But for a well-run 80-room hotel, 500% is fiction. It’s the kind of number that belongs in a pitch deck, not in a decision-maker’s spreadsheet.

Similarly, the claim that Optii has been “used to clean more than 10 million guest rooms globally” is cumulative all-time, not concurrent. It’s an impressive-sounding number that tells you nothing about how many hotels are currently using the platform or how many rooms are cleaned through it on any given day. I don’t penalise vendors for marketing. Everyone does it. But I do note when the marketing requires footnotes that aren’t provided.

The Android problem

This is the part that frustrated me most, because it’s a practical problem that directly affects my staff.

Optii’s mobile app is how room attendants interact with the system. They receive their room assignments, update room status, flag maintenance issues, and communicate with supervisors through the app. It’s the front line of the product. If the app doesn’t work well, the entire value proposition falls apart.

On iPhones, the app works fine. My head of housekeeping uses an iPhone and had no complaints about performance, stability, or usability.

On Android devices, it’s a different story. Four of my six room attendants use Android phones. During the eight-week trial, the Android app crashed at least twice a week for each user. It logged people out without warning, sometimes mid-shift, forcing them to re-authenticate while they were standing in a guest corridor with a cleaning cart. Loading times were slow, even on relatively new phones with decent connectivity. One attendant described it as “the app that forgets who I am.”

I raised this with Optii’s support team and they were responsive. They acknowledged the Android issues and said improvements were in development. But “in development” doesn’t help my room attendant who just got logged out for the third time this week and is now manually writing room statuses on a piece of paper because she can’t get back into the app.

The missing notification sound for new task alerts is another irritation. When a supervisor assigns an urgent room flip through Optii Service, the attendant’s phone should make a noise. It doesn’t. They have to keep checking the app manually, which defeats the purpose of real-time task management. My head of housekeeping started sending WhatsApp messages alongside Optii tasks to make sure people actually saw them. That’s a workaround that shouldn’t be necessary.

If your housekeeping team predominantly uses iPhones, this section is less relevant to you. If they’re on Android, as mine mostly are, it’s the biggest day-to-day friction you’ll encounter with Optii.

What’s missing

Beyond the Android issues, a few gaps stood out during my testing.

There’s no above-property or portfolio-level reporting. If you manage multiple hotels (I don’t, but Thomas manages fifteen properties for a French hotel group, and this would be a dealbreaker for him), you can’t pull consolidated housekeeping metrics across your portfolio from a single dashboard. Optii has said this is coming. It’s not here yet.

The integration between Optii’s own modules could be tighter. Housekeeping and Chat feel like separate products sharing a login rather than two views of the same system. When a room attendant flags a maintenance issue in Housekeeping, it should flow into Maintenance without manual re-entry. The workflow exists, but it’s clunkier than it should be. The modules were clearly built at different times and bolted together rather than designed as one system from the start.

Third-party integrations beyond PMS connections are limited. Optii integrates with Oracle OPERA, Mews, Stayntouch, and a handful of others, and the PMS integration works well. But if you want connections to scheduling software, guest experience platforms, or your labour management system, the options thin out quickly. For a product that positions itself as the centre of housekeeping operations, it’s oddly disconnected from the broader hotel tech stack.

And there’s the review presence issue. I asked around about Optii before and during my trial. A few colleagues in the Australian market knew it well and spoke positively about it. In my European network, awareness was thin. Nobody I spoke to at the Independent Hotel Show had used it, though one person had seen a demo at HITEC. For a company claiming to have cleaned ten million rooms, the footprint in European hotel circles is thin. It feels like a product that’s well known in specific markets (Australia, large US chains through the MCR connection) but hasn’t built the broad word-of-mouth presence that competitors like hotelkit have in the DACH region.

The ownership question, revisited

I mentioned MCR’s acquisition earlier, but it’s worth sitting with for a moment because it affects how I think about the product’s future.

MCR is an operator, not a technology company. They bought Optii because they use it in their own 140 hotels and saw strategic value in owning the platform rather than renting it. That’s a different dynamic from a VC fund buying a software company to grow it and sell it. MCR’s incentive is to make Optii better for hotel operators, because MCR is a hotel operator.

The flipside: MCR is a hotel owner-operator. Their priorities for Optii’s development roadmap might align with what large American branded hotels need, which isn’t necessarily what an 80-room independent in Amsterdam needs. The above-property reporting gap, for example, makes sense when you consider that MCR manages its portfolio and would want that feature for its own use. But the Android app stability, which matters enormously to a small team using personal phones? That might sit lower on a roadmap shaped by an owner whose staff use provisioned devices with IT support.

I compared this to the Cloudbeds situation from my PMS review. Cloudbeds has $245 million in VC money and the SoftBank question hanging over its long-term pricing. Optii has an operator-owner and modest funding. Neither ownership structure is perfect. The VC-backed company might raise prices when growth stalls. The operator-owned company might deprioritise features that don’t serve the parent’s own hotels. You pick your risk. At least with Optii, the risk is more legible to me.

The data question

Optii collects detailed operational data: cleaning times, staff productivity, room-by-room quality scores, task completion rates. The data lives in AWS infrastructure and the company states it complies with GDPR. MCR has emphasised that Optii operates independently and that no customer data is shared with MCR’s hotel operations.

I take that at face value, with the usual caveat that corporate promises about data separation last only as long as the people who made them. Anna would want to see the data processing agreement and verify the technical separation. I didn’t go that deep. For my purposes, the GDPR compliance and the EU hosting were sufficient.

The data that Optii generates about your own housekeeping operation is, to me, the second most valuable thing about the product after the labour savings. Knowing that Room 412 takes an average of 38 minutes to clean while Room 310 takes 22 minutes tells you something actionable. Knowing that one attendant consistently cleans 14 rooms per shift while another manages 11 gives you coaching data.

I exported as much of this as I could into my own spreadsheets. The on-platform reporting is good for daily operations but limited for longitudinal analysis. I ended up pulling data weekly and building my own trend charts. Plan to supplement Optii’s built-in reports with your own analysis.

What I’d tell a colleague

If another city hotel operator in Europe asked me about Optii, I’d start with the number: roughly €13,800 in annual labour savings at my 80-room property, verified against payroll data over eight weeks. The AI route optimisation works. It’s not magic, and it won’t fix a housekeeping department with deeper problems, but it shaves real minutes off real room cleans and those minutes add up to money.

Then I’d add the warnings. The pricing is opaque and you’ll need to sit through a sales call, so budget extra time for your evaluation process. The Android app is unreliable and your room attendants will complain about it. The product is stronger in the Australian and US markets than in Europe, which means fewer peers in your network who can share experiences. And the company is small. Thirty-seven employees serving global hotel clients means the team is stretched, even with the recent hiring.

I’d also say this: Optii is solving the right problem. Housekeeping labour is the biggest controllable cost in most hotels, and most of us are still scheduling room attendants with whiteboards and gut instinct. The fact that a software tool can measurably improve on that process, even modestly, is worth paying attention to. The product isn’t polished everywhere, and the company still has growing to do. But the core AI does what it says it does, and I have the spreadsheet to prove it.

If you’re running a hotel with fewer than 50 rooms, I’m not sure the ROI works. The fixed subscription cost needs enough rooms and enough cleaning hours to generate savings that exceed it. At 80 rooms, the numbers clear that bar comfortably. At 40 rooms, I’d want to run the calculation very carefully before committing.

If your team is mostly on Android phones, budget for frustration and have a fallback plan for the days the app decides to forget everyone’s login.

And if the sales team quotes you a price, ask them to put it on their website. They won’t. But someone should keep asking.

Sophie, for all six of us