The situation
The chain had rolled out a capable WFM system but still could not explain swings in its labour line. Stores ran near-identical weekly templates regardless of local demand, so morning shifts sat idle while the 6pm checkout peak queued. Finance had no defensible baseline to judge any change against.
What we did
We scanned a representative 20 stores, built a labour cost-to-sales and service baseline, and forecast demand per department and daypart. Optimised roster templates were configured inside the client own WFM tool, piloted in 12 stores, then rolled out across all 180 with planner training and a handover.
We had the software. What we lacked was the plan it should run. StoreCadence found the gap in weeks and we could finally put a number on the fix.
Chief Operating Officer, National grocery chain, 180+ stores (name withheld)
Figures on this page are illustrative placeholders. Real client results are published only with permission and always measured against an agreed baseline.