TimeForge compares what you expected to sell, how many hours were needed, what was scheduled, and what was actually worked. This makes it easy to see whether issues came from the forecast, the schedule, or how the shift was executed.
TimeForge converts forecasted sales, transactions, and channel mix into required labor hours by role and time block. Coverage flexes with peaks and lulls instead of staying flat, so teams are staffed for real workload, not averages or assumptions.
A single labor % might work as a top-line guardrail, but it won’t tell you how to staff a slow morning versus a lunch rush. TimeForge uses workload drivers to separate fixed coverage from variable demand and generate role-based hour targets you can schedule to.
By tightening schedules around the demand curve, TimeForge reduces idle time during slow periods and reinforces coverage at peak. The result is stronger labor performance, fewer service bottlenecks, and improved margins without cutting into the guest experience.
Required hours flow directly into AutoSchedule, where TimeForge builds compliant schedules in minutes. Availability, break rules, overtime limits, and policies are applied automatically, giving managers a strong draft they can review and refine.
TimeForge forecasts demand by hour and by channel—dine-in, delivery, drive-thru—not just total daily sales. That means schedules are built around how the day actually unfolds, instead of relying on broad averages that miss peaks and slow periods.
TimeForge compares what you expected to sell, how many hours were needed, what was scheduled, and what was actually worked. This makes it easy to see whether issues came from the forecast, the schedule, or how the shift was executed.
“TimeForge has been a game-changer in our company with scheduling and labour management. It is allowed us to refine our processes for scheduling and to assess business volume levels right down to the details we were never able to get to you previously.”
TimeForge builds schedules from forecasted demand and workload drivers—not just availability or a flat labor percentage.
It converts forecasted sales, transactions, and channel mix into role-based labor hours by time block.
Yes. Labor % can be used as a guardrail, but staffing decisions are driven by actual workload needs.
Workload drivers are operational inputs—like transactions or orders—that determine how much labor is truly needed.
By aligning coverage to demand peaks and trimming excess staffing during slow periods.
Yes. Required hours feed directly into AutoSchedule to create compliant, optimized schedules.
TimeForge forecasts by hour and by channel, reflecting how demand unfolds throughout the day.
TimeForge compares forecasted demand, scheduled hours, and actual worked hours to pinpoint gaps in planning or execution.
As we like to say, “the proof is in the pudding.” Let our rockstar customer success team give you a live demonstration of TimeForge in action, tailored to your needs.
