Reimagining the Future of Cleaning
Traditional cleaning models generally rely on manual processes, subjective assessments (by hygiene teams and clients), and reactive service delivery. Our vision is to move beyond this by embedding intelligence, automation, and data into every aspect of our operations.
The AI functionality within the Velocity platform allow us to deliver:
• Objective, standardised quality assurance
• Intelligent, real-time task allocation and feedback
• Proactive risk management and sentiment monitoring
• Data-driven operational improvement
• Consistently high levels of customer experience
By providing frontline teams and managers with actionable insights in real time, Velocity ensures that contracts are not just fulfilled, but consistently exceeded.
AI-Driven Innovations Within Velocity
One of the key innovations of the Velocity platform is AI-powered auditing. Within Velocity, our hygiene operatives conduct audits by capturing images of cleaned areas. These images are then instantly assessed by AI models, which compare them against our agreed SLA and contract-specific standards.
And the benefits of this approach?
It removes subjectivity and provides consistent, and accurate quality scores. There is also the benefit of real-time feedback for our teams; allowing them to address any issues immediately. The addition of automated escalation protocols also ensures that any persistent non-conformance is automatically escalated to management, ensuring continuous quality control.
Dynamic Task Allocation
Continuous quality management is also delivered with our tasking feature. Instead of paper-driven task and audit processes, our hygiene teams receive randomised, quality-focused tasks directly to their mobile devices. Tasks are then completed outcomes evaluated by our AI innovation.
Instant feedback is provided and if necessary, the team member can rectify issues and resubmit their work for reassessment.
Demand-Led Cleaning through Sensor Technology
To further enhance efficiency, Velocity also integrates with smart building sensors that measure real-time occupancy and usage. Cleaning schedules are dynamically adjusted based on this data, ensuring that resources are directed to high-traffic or high-use areas.
This demand-led approach improves efficiency and ensures that cleaning efforts align with actual site usage, leading to better overall outcomes for both clients and their site teams.
Customer Sentiment and Feedback Analysis
A key component of our Velocity offering are the integrated tools that capture and analyse customer feedback from sentiment devices and digital surveys. Themes, urgency levels, and sentiment scores across all areas of a client site are processed. Any remedial work, such as washroom stock replenishment issues, can be addressed in real-time.
The continuous analysis of data points also informs long-term service improvements and helps our team proactively resolve concerns, before they escalate.
Measurable Outcomes
Since integrating our AI-powered functionality in Velocity, we have seen measurable operational and commercial benefits for clients. These have included:
• up to 15% improvement in cleaning standards
• up to 25% time savings in auditing and service management
• Real-time issue resolution, reducing client complaints
• Increased transparency through objective performance reporting
• Significant efficiency gains, with no compromise on service quality
Shaping the Future of Soft Facilities Management
Through our innovations in auditing, tasking, dynamic service delivery, and sentiment analysis, the Velocity platform delivers a new standard in soft FM.
Excellerate remains committed to driving performance, transparency, and customer satisfaction through intelligent service design.
If you’re ready to explore how Excellerate can transform your hygiene operations, get in touch to book your free Velocity demo today!
7 Waterside Court
Galleon Boulevard
Crossways Business Park
Dartford
Kent
DA2 6NX
Studio 5004
Abbey Mill Business Centre
Paisley
PA1 1JS
Block 3, Harcourt Centre
Saint Kevin's
Dublin 2