AI that knows exactly which crew goes where, when they'll finish, and who needs backup—before your foreman even thinks to ask.
Follow Site Supervisor Carlos as Workforce Tracker transforms his daily crew management
Carlos checks Workforce Tracker over coffee. AI predicts: "Concrete crew will finish 2.5 hours early today. Electrical team delayed until 11 AM due to permit issue. Recommend reassigning 3 framers to help prep electrical rough-in."
Based on weather forecast (20% rain chance at 2 PM), Workforce Tracker suggests: "Move exterior siding work to morning. Schedule interior electrical during afternoon window. Deploy roofing crew to second site."
As crews arrive, Workforce Tracker automatically logs attendance via mobile app. Immediately flags: "Jimmy (electrician) called in sick. Backup electrician Tom can arrive by 8:30 AM from Riverside project."
Plumber discovers unexpected tile work needed in bathroom 3. Workforce Tracker instantly identifies: "Maria (tile specialist) available from Oak Street project at 10 AM. Will extend her day by 2 hours for $340 vs. $890 emergency contractor rate."
Workforce Tracker analyzes morning productivity: Framing crew at 112% of expected pace, concrete team at 94%. Automatically adjusts afternoon schedules and alerts that kitchen cabinets can be delivered a day early.
Instead of everyone stopping at noon, Workforce Tracker suggests staggered breaks: concrete crew lunches now (pour completed), framers at 12:30 (natural stopping point), electricians at 1:00 (caught up from delay).
Light rain starts as predicted. Workforce Tracker seamlessly shifts exterior crews indoors: siding team moves to interior trim work, landscaping crew starts basement waterproofing. Zero downtime.
Based on today's progress, Workforce Tracker auto-generates tomorrow's crew assignments: "HVAC rough-in ready to start. Need 4 ductwork specialists. Jake and crew available from completing Pine Street job. Electrical can begin second-floor circuits."
Workforce Tracker generates daily report: 8.2 productive hours per worker (company average: 6.7), zero safety incidents, $2,340 saved through optimal crew deployment. Total project completion: 73.4%.
As crews clock out, Workforce Tracker analyzes the day's patterns to improve future predictions: "Concrete curing time 15% faster in current weather. Update scheduling algorithm. Maria's tile work 20% above estimate—flag for future kitchen projects."
More productive hours per worker per day
Less time on scheduling and coordination
Predicted vs. actual completion times
Reduced need for expensive backup crews
Maintains detailed profiles of every worker's skills, certifications, productivity rates, and availability patterns for optimal matching.
Machine learning models predict task completion times based on historical data, weather, crew composition, and project complexity.
Real-time optimization engine continuously adjusts crew assignments based on progress updates, delays, and changing conditions.
Simple mobile interface for time tracking, progress updates, and instant communication between field and office.
Direct integration with ADP, QuickBooks, and major payroll providers for automatic time capture
Syncs with Procore, Buildertrend, and scheduling tools for unified project oversight
Connects with HRIS for skills tracking, certification management, and performance reviews
Integrates with safety management systems for incident tracking and compliance reporting
For a construction company with 25 field workers:
Join 180+ construction companies using Workforce Tracker to optimize their human capital
Mobile app training completed in 1 hour per worker