One Late Delivery. Crew Velocity Down 23% for 9 Days.
The concrete crew stood idle 4 hours Tuesday. The framing crew lost their MEP handoff. The MEP window closed. The project is now 11 days behind on a trade that was waiting for $4,200 in materials that arrived Tuesday instead of Saturday. One delivery. Eleven days of cascade. None of it predicted — by your current software.
Material Readiness vs. Labor Velocity — The Cascade Revealed
Watch late deliveries above the line. Watch productivity drop below it. Watch the connection band draw itself.
The Cost of Cascades You Did Not See Coming
Three ways late materials become schedule death — and why your current tools cannot stop it.
One late delivery does not delay one task — it cascades
The concrete crew stood idle 4 hours Tuesday. That bumped the framing crew. The framing crew lost their MEP handoff. The MEP window closed. The project is now 11 days behind on a trade that was waiting for $4,200 in materials that arrived 3 days late. One delivery. Eleven days of cascade.
Your crew velocity reports do not connect to your procurement reports
You see labor productivity drop. Your foreman blames weather, crew changes, or subcontractor performance. The real cause — a material delivery miss three days earlier — never appears in the productivity report. Without POD connecting the two data streams, the diagnosis is always wrong.
The cascade is documented after the fact, not prevented before it
Your project postmortem will note that labor productivity dropped 23% during weeks 5 and 6. It will not note that the cause was a Tuesday delivery miss that was visible 5 days earlier as an unconfirmed PO with zero float. POD surfaces this before it cascades, not after.
What POD Gives You Back
MaterialReadiness flags cascade risk before Monday
MaterialReadiness checks every upcoming activity against material requirements and delivery status. When a delivery will be late and the activity has no float, POD flags the cascade risk — in time to expedite, resequence, or reposition crew before the idle time occurs.
5-day cascade prevention windowLaborVelocityTrend proves the causal link
LaborVelocityTrend tracks daily crew productivity over time. When velocity drops follow delivery misses, POD correlates the two events and quantifies the impact. You see exactly how many labor hours each late delivery cost — building the case for the procurement process fix.
Causation, not correlationDollar cost of each cascade quantified automatically
POD multiplies the velocity drop percentage by the planned daily crew output, then multiplies by the labor rate and the duration of the drop. Each cascade event produces a dollar cost — turning "we had a bad week" into "$47,200 in productivity lost from three delivery misses."
Every cascade costed in dollarsPattern detection across projects
LaborVelocityTrend tracks patterns across projects. If your projects consistently show velocity drops in weeks 4-6, POD identifies the recurring procurement failure causing it — and which material categories are the systemic culprits. Systemic fixes compound into lasting improvement.
Cross-project pattern detectionMaterial Readiness vs. Labor Velocity — The Cascade Revealed
MaterialReadiness flags upstream. LaborVelocityTrend proves the downstream cost. Together they close the loop.
Material Readiness
PODLabor Velocity Trend
PODFrequently Asked Questions
Stop Discovering Cascades After They Happen
POD maps material readiness before cascades start and quantifies labor velocity loss after they occur. Close the loop on the most expensive procurement failure in construction.