WorkAxle is a workforce management platform for operations leaders, plant managers, and site directors. It runs the full operational loop in one system: forecast demand, generate a compliant schedule, enforce rules at assignment time, and turn worked hours into clean, export-ready labor cost. Demand sizes every shift, and conflicts surface before the schedule publishes.
Run the operation.
Not the spreadsheet.
Coverage gaps, runaway overtime, demand that swings by the hour, and a dozen sites that all report up to you. Your scheduling tool should close that loop end to end, forecast, schedule, enforce, and cost. WorkAxle does.
We know what running an operation actually looks like.
When forecast, coverage, and labor cost are three different problems.
You pull up the overnight report. Two no-shows on the early line at Site 4. The replacement you can reach isn't certified for that station. Coverage is short for the first three hours of the shift, and you're already burning overtime to backfill it.
Demand for Friday looks heavy, a promotion at one site, a production push at another, but you're staffing from last week's template. You're guessing. Overstaffed on the slow days, short-handed on the peaks, every week.
Finance wants the labor variance across all twelve sites. You're pulling hours from the time system, overtime from a spreadsheet, and premiums from memory. It'll take the afternoon to reconcile, and you still won't trust the number.
You're building next week's schedule across multiple sites. Different skills, different shift rules, a union seniority rule for one location, an overtime cap for another. You're holding all of it in your head and on three screens. You haven't started the actual schedule, you're still assembling the inputs.
An employee worked across two sites this week and tipped over the overtime threshold without anyone noticing, because hours weren't tracked centrally. The cost lands on next month's variance, after it's already spent.
When forecast, coverage, and labor cost are one system.
The no-shows at Site 4? The engine already checked qualifications before suggesting a replacement. The person it surfaced from the open-shift queue was certified for that station and under their overtime cap. Coverage held. No scramble.
The Friday demand spike? The forecasting engine saw it coming. It sized the shifts to predicted demand for that Friday, down to the interval your data supports. You staffed the peak and trimmed the slow days automatically.
The labor variance? Hours, overtime, premiums, and differentials are classified by the rule engine the moment they're worked. The number across all twelve sites is already clean and exportable. No afternoon reconciliation.
Next week's schedule? The engine pulled the forecast, enforced every rest period, overtime cap, certification, and union rule, and generated a compliant draft in minutes. You handle the edge cases. You approve. You publish.
The cross-site overtime? Hours accumulate centrally across every assignment, so the overtime threshold catches the employee mid-week. You see the cost while you can still act on it.
You can't run a multi-site operation on a tool that treats forecast, coverage, and labor cost as three separate problems.
Your operational problems. Solved at the system level.
| Your problem | How WorkAxle handles it |
|---|---|
| Staffing to demand swings | The forecasting engine ingests historical demand and sizes shifts to predicted need at the granularity of your data, down to 15-minute intervals. Every week staffs to what's coming, with no template to copy forward. |
| Coverage gaps & no-shows | The scheduling engine fills open shifts with qualified, available people, verified against skills, certifications, and labor rules before assignment. Open-shift queues and prioritized call lists close gaps fast, with every contact attempt logged. |
| Overtime & labor cost | Overtime is flagged, controlled, and distributed equitably by your rules, so you see it coming and decide who takes it. Hours accumulate centrally across sites, so the threshold counts every assignment an employee holds, at every location. |
| Compliance at scheduling time | Rest periods, daily and weekly workload limits, certifications, and union agreements are enforced during schedule generation and surfaced synchronously on every interactive edit, as a warning, so a breach is caught before it lands on a shift. |
| Multi-site coordination | Manage schedules across locations, departments, and teams from one interface. Each site can carry its own demand drivers, labor rules, and agreements; employees can qualify for multiple areas within a site. |
| Manual scheduling drag | The engine does the structural work, sizing shifts to demand and auto-assigning by rule, and generates a compliant draft in minutes. The manager refines edge cases and publishes, instead of assembling inputs for hours. |
| Time-to-cost reconciliation | Every clock-in is identity- and location-verified, then pay rules, overtime, holiday premiums, shift differentials, apply themselves. Timecards generate themselves, clean and auditable, ready for payroll export. |
| Real-time operational visibility | Coverage, compliance status, and labor cost are visible live across every site. Every schedule and assignment is logged, versioned, and auditable, so the audit trail starts at the schedule and runs through to the timecard. |
Modules that combine. One operational loop.
The loop runs in one direction. A forecast sizes the shifts, the schedule fills them inside your rules, the clock verifies the hours, and the rule engine prices them. Each module hands clean data to the next, so the number you report at the end is the number that actually happened.
Forecasting & Optimization
Every schedule starts as a guess until you forecast. The engine ingests historical demand and runs multiple time-series models in parallel; your team selects the best fit, and it feeds straight into scheduling. You staff for the demand that's coming, on data instead of a guess.
Learn more →Scheduling & Rostering
Demand sizes the shifts. The engine auto-assigns by skill, certification, availability, and labor rules, across sites, departments, and teams, and generates a compliant draft in minutes. You refine the edge cases and publish. The engine generates; you decide.
Learn more →Time & Attendance
Every clock-in is identity- and location-verified against the schedule. Pay rules, overtime, holiday premiums, shift differentials, apply themselves. Timecards generate themselves: clean, auditable, and reconciled to worked hours before a manager ever sees them.
Learn more →Compliance & Rule Engine
The layer that makes the rest trustworthy. Rest periods, overtime caps, certifications, and union agreements are codified once and enforced everywhere, during generation and on every edit. Configure the rules per site, per role, through a no-code visual builder.
Learn more →Operations, after WorkAxle.
Frequently asked questions about workforce management for operations leaders
What is the best workforce management software for operations leaders?
WorkAxle runs the full operational loop in one system: it forecasts demand, generates a compliant schedule, enforces rules at assignment time, and turns worked hours into clean labor cost. Demand forecasts size every shift to predicted need. The scheduling engine fills coverage gaps with qualified people. Overtime, rest periods, and union rules are enforced while the schedule is generated and surfaced on every manual edit, before anything publishes. It's built for plant managers, site and scheduling managers, and ops directors running multi-site operations.
How does WorkAxle reduce overtime and labor cost?
Demand forecasting sizes shifts to predicted need, so you're not overstaffed on slow days or backfilling peaks with overtime. The scheduling engine flags, controls, and distributes overtime by your rules, and hours accumulate centrally across sites so the threshold counts every assignment an employee holds. A national multi-site retail deployment saw a 31% wage cost reduction and cut timecard management time by 74%.
Can WorkAxle coordinate scheduling across multiple sites or plants?
Yes. Managers schedule across locations, departments, and teams from one interface. Each site can carry its own demand drivers, labor rules, and union agreements, and employees can qualify for multiple areas within a site. Hours accumulate centrally, so overtime is enforced across every site an employee works, not one site at a time. Multi-plant producers run WorkAxle across all their sites under every collective agreement, with hours counted and overtime rules enforced across every site an employee works.
How does WorkAxle keep labor cost clean from schedule to payroll?
Compliance is enforced at scheduling time, so the cost is right before the shift is published. Every clock-in is identity- and location-verified against the schedule, and the rule engine applies overtime, holiday premiums, and shift differentials automatically. Timecards generate themselves, clean, auditable, and export-ready, eliminating end-of-period reconciliation. One national multi-site retail deployment cut time spent managing timecards by 74%, moving from assembly to approval-only.
See WorkAxle configured for your operation.
See how forecasting drives the schedule.
Understand how demand forecasts size shifts to predicted need and feed directly into schedule generation, on data instead of a guess.
Explore the full platform.
Forecasting, scheduling, time & attendance, and compliance, see how every module connects into one operational loop.
Bring your hardest scheduling week.
We'll show you the platform with your demand patterns, your multi-site coverage, your overtime rules, and your union constraints in mind. Bring the week your current system can't handle.