Right Staff. Right Shift. Right Cost.
DataGrid connects your scheduling, POS, and payroll data to give you a live view of labour efficiency, so you can cut cost without cutting service.
Why Optimise Labour Operators Need Better Data
Labour is typically the largest controllable cost in any operation, and the hardest to optimise without the right data. Managers schedule based on gut feel, last week's rota, or a spreadsheet that doesn't account for today's bookings, weather, or local events. The result is overstaffed slow nights and understaffed peak services, both of which cost money. Without a live view of revenue-per-labour-hour, the only feedback loop is the P&L at month end, by which time the margin is already gone.
How DataGrid Helps
DataGrid pulls together POS revenue, scheduling data, and clock-in records in real time, so you can see exactly what your labour is producing at every hour of the day. Set target labour percentage thresholds and get alerts when you're tracking over, before the shift ends. AI agents identify which shifts, days, and locations are consistently inefficient and surface the pattern so you can act structurally, not just reactively.
What You Get
Live Labour Cost %
Track labour cost as a percentage of revenue in real time: by hour, shift, location, and department. Know exactly where you stand before service ends.
Revenue Per Labour Hour
The single most actionable labour metric: how much revenue each staffed hour is generating. Compare across locations, days, and role types.
Overstaffing Alerts
DataGrid flags shifts where scheduled hours are tracking above your labour target, with enough notice to make adjustments before it impacts your P&L.
Optimal Schedule Insights
AI agents analyse historical patterns to surface your best and worst-performing shift structures, so future schedules are built on data, not habit.
Works for
Related Use Cases
Ready to See DataGrid in Action?
Connect your systems, centralize your data, and start making faster decisions: in days, not months.