No more empty shelves or long queues
Sensors that count users. AI that predicts when cleaning is needed. Displays that show transparency.
For toilets where first impressions matter.
Empty trash cans
95%
Smart sensors know when it's time to empty bins.
Fewer complaints
50-70%
Customized cleaning increases visitor satisfaction.
Empty tissue dispensers
0
No more late refills.
Savings %
42%
Annual savings
4 398 399 kr
Monthly savings
366 533 kr
Payback period
1 månad
Optiqo vs. Traditional management
Kostnad per m² och städning (SEK)
18 kr/m²
4 städningar/dag
🇸🇪 SEK
50 toaletter
The 5 most common challenges with public restrooms
1. We're out of toilet paper.
The most common complaint at airports and shopping malls. Staff don't know when they're running out of paper until someone complains. During rush hour, empty holders can sit for hours.
Cost:
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Angry visitor = bad review/NPS
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Staff reactively run between toilets
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Predict when refills are needed
2. Long queues
Morning rush at the airport. Lunch queue at the mall. But you don't know WHERE the queues are or WHY they form. Are there too few toilets open? Is a stall out of order? Is cleaning taking too long?
Cost:
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Bad visitor experience
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No insight = can't optimize
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Cleaning staff in the wrong zone at the wrong time
3. Bad smell
Scheduled cleaning instead of on-demand cleaning means that high-traffic restrooms are overlooked.
4. "But I just cleaned up"
Visitors complain. Cleaners say "I cleaned 30 minutes ago!" Who's right? Nobody knows.
Cost:
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Word against word
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No traceability
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Impossible to verify service quality
5. Overflowing trash cans
4G-connected IoT devices with PIR sensors, NFC readers, and e-ink displays. Monitor traffic, verify service delivery, and communicate with visitors—all in one autonomous device.
The Optiqo solution
Real-time visitor statistics
QlvrBox uses PIR (Passive Infrared) sensors to count every visitor entering the restroom. Anonymously, GDPR compliant, accurate.
Data collected:
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Number of visitors per hour
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Peak traffic times
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Traffic patterns (weekday vs. weekend)
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Usage trends
Results:
Know exactly when toilets need to be cleaned based on actual usage, not guesswork.
Automated cleaning schedules
AI analyzes traffic data and automatically generates optimal cleaning schedules. Peak traffic periods receive more frequent cleaning. Off-peak traffic periods receive minimal cleaning.
Example of Schedule:
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Monday 08:00 (50 visitors): Clean up after 25 visitors
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Saturday 2:00 PM (200 visitors): Clean up after 40 visitors (more often)
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Tuesday 11:00 PM (5 visitors): Skip cleaning (weekly deep cleaning only)
Results:
30-50% cost reduction by eliminating unnecessary cleaning while maintaining quality.
Service validation and transparency
For Staff:
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Cleaning staff scans NFC card at entrance
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Check-in timestamp is automatically logged
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Proves that service was delivered (compliance/audit)
For visitors:
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E-ink display shows: "Last cleaned: 14:23 (12 minutes ago)"
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QR code for instant feedback
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Transparent quality builds trust
Results:
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70% fewer complaints
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Full service traceability
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Visitor confidence
From installation to optimization in weeks
Step 1.
Fast implementation
QlvrBox units install in minutes per site. Most sites are fully operational within days, not months.
Step 2.
AI learning phase
The system observes patterns for 2-4 weeks, establishing baselines for traffic flows, peak times, and usage patterns.
Step 3.
Autonomous optimization
AI starts generating optimized schedules automatically. Staff receive work orders based on predictive intelligence, not guesswork.
Step 4.
Continuous improvement
We are high-performing and driven professionals with broad operational and strategic experience.
Case: Large American Airport
The airport serves the California Capital Region with approximately 1 million passengers per month. The airport handles significant traffic flows across multiple terminals, creating significant challenges for facility management—particularly when it comes to maintaining clean, hygienic public restrooms.
Challenge:
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Unpredictable traffic patterns across different times and terminals
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Constant complaints about the condition of the toilets
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Ineffective cleaning schedules based on fixed intervals rather than actual usage
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Waste of resources by over-cleaning low-traffic areas while high-traffic restrooms were under-served
Solution:
The airport installed approximately 70 QlvrBox units throughout the facility, focusing on high-traffic restroom areas.
The system includes:
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PIR sensors that count visitor traffic in real time
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E-ink displays that show when the space was last cleaned
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NFC technology for cleaning staff check-ins
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QR codes that enable passenger feedback
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Cloud-based analytics that provide predictive maintenance insights
43%
reduced cleaning costs
70%
fewer complaints from travelers
Significantly
cleaner facilities through data-driven scheduling
Improved
passenger satisfaction with visible hygiene communication
How it works
Instead of cleaning according to fixed schedules, Optiqos AI analyzes real-time usage data to predict when and where cleaning is needed. If one restroom has 500 visitors in an hour, it triggers an immediate service request. If another has only 50 visitors, cleaning is optimized accordingly.
This autonomous, predictive approach eliminates waste while ensuring facilities are cleaned precisely when needed—delivering both cost savings and a superior passenger experience.
Optiqo vs. Traditional management
Function | Traditional approach | Optiqo Qlvrbox |
|---|---|---|
Complaint frequency | 😞 High | 😊 70% Lower |
Cost-effectiveness | 💰 Low | 💰 High |
Data & Reporting | ❌ Manual/None | ✅ Automated dashboards |
Inventory monitoring | ❌ Visual inspection | ✅ Sensor-based notifications |
Visitor communication | ❌ None | ✅ E-paper display + QR |
Service validation | 📋 Analog logging with paper | ✅ NFC digital |
Cleaning schedule | ⏰ Fixed time-based | 🤖 AI usage-based |
Traffic monitoring | ❌ None | ✅ Real-time PIR counting |
Vanliga frågor (FAQ)
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