Optimize attendant coverage by daypart and customer flow
Enter your average customer count by hour-of-day for a typical week, set your service standard (target customer wait time and attendant productivity), and the calculator returns recommended attendant headcount per daypart. Most laundromats overstaff slow hours and understaff peak hours — costing both labor margin and customer satisfaction. The calculator rebalances both.
Industry standard: one attendant productively serves 25–35 active customers when supporting WDF, change/payment issues, and machine guidance. At lower volumes, the attendant cost-per-customer is too high; at higher volumes, customer wait times degrade satisfaction. The calculator finds the curve crossover for your specific store and recommends staffing thresholds (add an attendant when customer count crosses X, remove when it falls below Y).
A 7-day-by-24-hour staffing grid showing recommended attendant count for each hour, total weekly attendant hours, weekly labor cost at your local wage, and a projected impact on customer satisfaction (NPS proxy) and WDF capture rate. Operators who implement the recommended schedule typically reduce labor cost 8–15% while improving peak-hour service quality.
Best source — networked machine cycle starts (Speed Queen Quantum, Dexter DexterLive, Continental Genius all log this). Second best — POS receipts by hour. Third best — manual count for one typical week. The calculator works with whichever data you have.
New builds are the optimal use case — you control the floor plan, equipment mix, and operating model before signing a lease. Run the Staffing Calculator alongside the Break-Even Calculator: staff the opening schedule to match projected turn counts, then adjust 90 days in as actual data comes in. Most new builds understaff peak hours in the first 60 days — the calculator's daypart grid is the fastest way to catch and fix that early.