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
Apply to become a partner or distributor with Optiqo.
Fill in the form below and take the first step toward a successful partnership.
We look forward to hearing from you! Please provide your contact details and experience so we can understand how to collaborate most effectively.
The 6 most common challenges your customers face — and how Optiqo can solve them
1. Uncertainty about performed service
Your customers want documentation and proof that cleaning is done correctly. With NFC check-in and logging, you can offer full traceability and transparency, building trust.
2. Optimization and cost-efficiency
Inefficient schedules increase both costs and workload. As a partner or distributor, you can show how Optiqo’s AI optimizes service schedules, improves resource use, and creates economic and operational gains for your customers.
3. Hygiene issues
Traditional schedules often miss peak usage times. As a partner, you can demonstrate how Optiqo’s demand-based cleaning, based on actual usage, ensures cleanliness and satisfied visitors.
4. Empty supply holders
Your customers want to avoid complaints and make sure all areas are well maintained, but often lack insight into when service or refilling is needed. With Optiqo’s sensors, you can give them real-time data and alerts so they can act proactively.
5. Overfilled trash bins
Keeping trash bins emptied is often time-consuming. By implementing Optiqo sensors, you help your customers work proactively and free up resources.
6. Long queues during peak times
High-traffic environments require efficient planning. With Optiqo’s solution, you can offer your customers real-time data that gives better insight into traffic and space usage — helping them optimize operations and improve visitor experience.
How It Works – Step by Step
1. Application
Interested companies submit a short application or request via our website. This gives us an initial understanding of your company, your goals, and how you want to collaborate as a partner.
2. Qualification
We are reviewing your application to ensure that the partnership will be successful for both parties.
3. Approval
Once you meet our criteria, you will be officially approved as a partner or distributor.
4. Onboarding and Training
As a new partner, you will gain access to training, marketing materials, and technical resources. We will go through our products, solutions, and best practices for sales and implementation.
5. Start Distribution
Once onboarding is complete, you can start offering Optiqo’s products to your customers. We are available for support, guidance, and marketing assistance.
6. Continuous Support and Growth
We continue to support you with updates, training, and tips to grow your distribution globally. The goal is a long-term and profitable partnership.
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)
Savings %
42%
Annual savings
4 398 426 kr
Monthly savings
366 536 kr
Payback period
1 månad
Optiqo vs. Traditional management
Kostnad per m² och städning (SEK)
18 kr/m²
4 städningar/dag
🇸🇪 SEK
50 toaletter