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Enhancing AI & IoT-driven

“Intelligent“ Facility Management

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AI-Driven Hygiene 
Automation

with predictive Intelligence

PROFoodcourt is the ultimate smart hygiene management solution that combines IoT technology and AI-driven analytics to deliver cleaner, more efficient, and user-friendly facilities. It transforms restaurants seating areas into intelligent spaces that prioritize hygiene, sustainability, and operational excellence.

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Enhanced Hygiene: Ensures foodcourts are always clean, and ready for use, improving user satisfaction.
 

Operational Efficiency: Automates monitoring and task assignment, reducing staff workload and response times.
 

Real-Time Insights: Offers facility managers actionable data for improving foodcourt management and user experience

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  • Real-Time Monitoring: Tables and chairs  as well as area occupancy via existing CCTV cameras.
     

  • CCTV Integration: Equipped with our AI visual analyses to monitor status and triger the scenario. 
     

  • IoT Integration: Equipped with smart sensors to monitor the level of trash bins real-time. 

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  • Tasks are automatically assigned to the nearest available cleaning staff using ProStaff RTLS cards or the ProApp.

  • Staff receive detailed instructions, including issue location and priority, ensuring fast and efficient responses.

  • If necessary, multiple tasks are coordinated to manage high-traffic areas during peak times.

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2

Action Phase

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Real-Time

Monitoring

1

  • AI-powered visual analytics and IoT sensors to monitor the food court environment in real-time.

  • Tracks table turnover, trash bin capacity, and cleanliness.

  • Detects issues like unclean tables, overflowing bins, or high traffic zones requiring immediate attention.

  • Automatically categorizes issues and logs them into the PROAI platform for action.

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Last Step
 

  • ProFoodCourt records task completion times and gathers data for performance evaluation.

  • Facility managers receive reports on table turnover rates, issue response times, and overall cleanliness levels.

  • Insights are used to optimize cleaning schedules, resource allocation, and improve operational efficiency over time.

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3

  • Enhanced Cleanliness: Ensures clean tables and organized spaces in real-time.
     

  • Operational Efficiency: Automates task assignments for faster issue resolution.
     

  • Data-Driven Optimization: Provides actionable insights to improve resource allocation and performance.
     

  • Better Visitor Experience: Maintains a pleasant and hygienic environment for all customers.

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Use Case: PROFoodcourt Solution 

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Facility Manager's Inquiry:

FM:
"PROAI, provide me with an update on the current status of the food court cleanliness and any anomalies detected so far today."

PROAI's Response:

PROAI:
"Here’s the food court cleanliness status update as of now:"

  • Overall Summary:

    • Total Table Turnover Today: 356 (18% higher than the usual mid-day benchmark).

    • Average Time Between Table Cleanings: 12.4 minutes (Target: 10 minutes).

  • Cleanliness Status:

    • Occupied but Uncleaned Tables: 7 tables currently require cleaning.

    • High Traffic Zones:

      • Zone A (Near Entrance): Tables turning over 35% faster than other areas.

      • Zone C (Near Beverage Counter): Average cleaning delay of 6 minutes detected.

  • Consumables Anomalies:

    • Trash Bin Status:

      • Bin 3 (Zone B): At 95% capacity. Immediate attention required.

      • Bin 5 (Zone E): Overflowing earlier today. Cleaning staff notified and issue resolved at 11:15 AM.

PROAI's Suggestions:

PROAI:
"To maintain cleanliness and efficiency, I recommend the following adjustments:"

  1. Team Schedule Revision:

    • Reallocate one cleaning staff to Zone A during peak lunch hours (12:00 PM to 2:00 PM) to manage the faster table turnover.

    • Assign another staff member to Zone C to address cleaning delays.

  2. Preventive Actions:

    • Increase trash collection frequency in Zone B and monitor Bin 3 closely.

    • Add a second trash bin to Zone E to prevent future overflows.

  3. Table Cleaning Efficiency:

    • Assign high-priority cleaning tasks to occupied tables in Zone C to reduce delays.

**Would you like me to notify the cleaning supervisor and adjust the team schedule accordingly?"

Facility Manager's Approval:

FM:
"Yes, notify the cleaning supervisor to reassign staff for Zones A and C and ensure trash bins are monitored more frequently."

PROAI's Execution:

PROAI:
"Adjustments in progress:

  • Cleaning supervisor notified, and staff schedule revised.

  • Trash collection frequency increased for Bin 3, and a request for an additional bin in Zone E has been logged for review."

**Anything else I can assist with?"

Facility Manager's Feedback:

FM:
"No, that’s all for now. Great work, PROAI!"

PROAI:
"Thank you! I’ll continue monitoring and notify you of any further updates throughout the day."

This scenario highlights ProFoodCourt's ability to monitor food court cleanliness, detect anomalies in real-time, and dynamically adjust team schedules to ensure high standards of hygiene and operational efficiency.

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