Enhancing AI & IoT-driven
“Smart“ Facility Management
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AI-Driven Hygiene Automation
with predictive Intelligence
PROHygiene transforms facility cleanliness management through automation, real-time monitoring, and AI-powered decision-making. Powered by predictive hygiene capabilities, ROVA leverages advanced insights from IoT-enabled systems like PRORestroom and PROFoodCourt to anticipate cleaning needs and proactively schedule tasks. From start-to-end support to leading and optimizing field operations, PROHygiene ensures spotless environments with unparalleled efficiency and intelligence.
Key Features:
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Predictive Hygiene Management: Anticipate cleaning needs using AI-driven insights.
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Automated Task Assignment: Instantly delegate tasks based on real-time conditions.
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Real-Time Monitoring: Track cleaning staff and ensure timely interventions.
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Big Data Insights: Optimize operations with data-driven decisions.
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Proactive AI Training: Continuously improve PROAI:ROVA with live feedback.
PROHygiene: Where innovation meets spotless efficiency.
What is Gamification?
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Task Rewards: Staff earn points for completing tasks efficiently and on time.
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Leaderboards: Real-time rankings boost motivation and healthy competition.
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Movement Tracking: Points are awarded for optimized movement and productivity.
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Incentives: Points can be exchanged for rewards, fostering engagement and excellence.
Action Phase
Once an issue is detected, PROHygiene transitions into action mode:
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Task Assignment: ROVA assigns cleaning tasks to the nearest available staff using PROStaff RTLS cards or the PROApp. Tasks are dispatched with precise details to ensure quick and effective responses.
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All steps and reactions, performances, returns create valuable data to train ROVA.
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Our Gamification module can be implemented therefore staff gain performance points for the all the actions.
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Real-Time Hygiene Monitoring
ProCleaning integrates seamlessly with our embedded IoT system solutions—ProRestroom and ProFoodCourt—to ensure real-time hygiene tracking:
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PRORestroom: Monitors consumable levels (e.g., soap, paper towels), air quality, and restroom occupancy using smart sensors. Detects when supplies are low or cleaning is required based on environmental data.
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PROFoodCourt: Utilizes existing CCTV cameras to monitor table cleanliness and dining area usage. AI-powered visual analysis identifies when areas require immediate attention.
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PROTicket: is designed to streamline and automate request management processes for facilities.
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Last Step
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Proactive Management: Leveraging big data insights, PROAI:ROVA predicts high-traffic periods or areas prone to increased activity, proactively scheduling cleaning tasks to maintain impeccable hygiene standards.
End Result
PROHygiene ensures a spotless and hygienic environment at all times, with real-time detection, efficient task assignment, and proactive management. By combining IoT technology and AI automation, PROHygiene optimizes resources while elevating cleanliness standards for your facility.
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Software Capabilities;
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Automated Building Patrols: Streamlines and automates building tours.
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Task & Control Checklists: Enables the creation of regular task and inspection checklists.
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Autonomous Shift Tracking: Tracks shifts and timesheets automatically.
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Performance Metrics Monitoring: Monitors and reports performance metrics for continuous improvement.
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and more...
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Use Case: PROHygiene – End-of-Day Summary & Optimization
Facility Manager's Inquiry:
FM:
"PROAI, provide today’s end-of-day report. Include staff efficiency, consumables usage, overtime status, and key updates from the food court and restroom operations."
PROAI's Response:
PROAI:
"Here’s today’s summary:"
Staff Overview
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Total Active Staff: 18 personnel
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Average Efficiency: 84%
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Tasks Completed: 134 tasks
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Overtime Status:
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Staff A: 3 hours overtime (This month: 24 hours, exceeded the limit).
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Staff B: 2 hours overtime (This month: 21 hours, close to the limit).
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ProFoodCourt Data
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Total Table Turnover: 356 (18% higher than benchmark).
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Uncleaned Tables: 7 tables awaiting cleaning in high-traffic areas.
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Trash Bin Status:
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Zone B (Bin 3): Reached 95% capacity, intervention completed.
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Zone E (Bin 5): Overflow occurred, additional bin recommended.
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ProToilet Data
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Soap Levels: Restroom C at 8% (Critical, requires immediate replenishment).
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Paper Towel Usage: 34 rolls (on par with the benchmark).
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Water Leak: Detected in Restroom E; technical team was notified, and the issue has been resolved.
Recommendations for Improvement
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Consumable Management: Replenishment intervals for Zone B should be reduced to 3 hours.
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Food Court Cleaning: Assign additional staff to Zone E during peak hours.
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Overtime Management: Adjust schedules to prevent Staff A and B from exceeding limits.
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ProToilet Optimization: Monitor soap levels in critical areas more frequently.
Facility Manager’s Request
FM:
"PROAI, generate a PDF report with this data and send warning emails to supervisors for staff exceeding overtime limits. Also, schedule a meeting tomorrow at 9 AM."
PROAI's Execution
PROAI:
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PDF Report: Generated and shared.
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Emails: Sent warning emails regarding overtime violations.
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Meeting: Scheduled for 9 AM tomorrow.
"Anything else?"
FM:
"No, great work!"
PROAI:
"Thank you! Looking forward to further optimizing tomorrow!"
