Energy & Equipment Intelligence
Qu Equip monitors critical kitchen and facility equipment across every location, detecting issues early and alerting the right people, drastically reduces unplanned downtime and repair and maintenance (R&M) costs.
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Prevent Repairs. Protect Assets.
Unplanned downtime and escalating repair and maintenance (R&M) costs drain multi-unit restaurants of reliability and revenue. Qu Equip changes that.
smart savings
reduction in utility costs with IoT monitoring
Proactive monitoring helps reduce waste, lower utility costs, and improve overall efficiency
costly downtime
lost annually due to equipment downtime
Unexpected equipment failures disrupt operations and lead to significant lost revenue
energy drain
of operating costs from energy
Energy is a major operating expense and often one of the least optimized across locations
coordinate
Optimized Response.
Multi-channel alerts via SMS, Email, and Notify ensure the right team members are notified instantly — with the context they need to act.
Intelligent Equipment Management
Qu Equip connects real-time monitoring to operational workflows, so every issue is caught, addressed, and logged.
IoT sensors continuously track performance and flag anomalies across HVAC, refrigeration, and kitchen equipment.
Centralized dashboards give operators a live view of equipment health and alert activity across the entire fleet.
Alerts route to the right person at the right level, with confirmed actions logged against every issue.
Every resolution — repair, reset, or replace — is captured and fed back to sharpen future alert accuracy.
ON THE HORIZON
Qu Equip is the first,
but not the last.
Qu's Energy & Equipment Intelligence is a long-term platform strategy built to unify energy monitoring, equipment visibility, predictive maintenance, and operational insights across your entire operation.
- Energy Monitoring: Visibility into energy consumption to identify inefficiencies and reduce utility costs
- Equipment Visibility: Real-time health and performance tracking across every store and asset.
- Predictive Maintenance: Anticipate issues before they cause downtime, moving from reactive to proactive.
- Operational Insights: Correlate equipment and sales data to prioritize action and inform maintenance planning.
