Use case · 95%+ on-time delivery, predicted before the dock
Know an order is slipping while there's still time to save it.
On-time delivery is decided long before the dock door opens - at the promise, on the floor, and in the schedule. Cortrova promises dates against real capacity and real inventory, watches every order's progress as it builds, and an OTD Prediction agent flags a slipping shipment early enough to expedite, re-route, or re-sequence - instead of reporting the miss after the customer has already noticed.
The challenge
- !Delivery dates are promised by feel, then missed when the floor has no capacity or the part is out of stock
- !On-time delivery is measured after the fact - there's no early signal when an order is about to slip
- !A machine goes down or a hot order lands and the schedule goes stale, but no one knows which ship dates just moved
- !Sales, scheduling, production, and shipping each hold a different version of where the order really is
- !Quality holds and certificates of conformance surface at the dock, stalling the shipment that was finally ready to go
How Cortrova answers
- ✓Available-to-Promise and Capable-to-Promise dating checks live inventory and finite-capacity scheduling before a delivery date is ever committed, so the date you quote is a date the shop can actually hit
- ✓The finite-capacity scheduler sequences every job against machine, tooling, labor, and material constraints and replans the moment the floor changes, raising reschedule-in / reschedule-out messages ranked by impact on ship dates
- ✓A Throughput Forecast agent projects each job's finish from real-time floor pace, surfacing a job heading for a late completion at hour two of the shift - not at handover
- ✓The OTD Prediction agent reads each order's promised date, shop-floor progress, allocation status, and route plan to forecast on-time arrival, raising a past-due risk alert while there's still room to act
- ✓A Route Optimization agent assigns carriers and schedules shipments against transit time and freight cost, choosing the lowest-cost route that still meets the promised date
- ✓A shipment quality gate auto-attaches the certificate of conformance and blocks the dock only when an open NCR or quality hold applies, so paperwork never holds up a clean order
- ✓OTD, lead-time, and past-due metrics are tracked continuously on one data model, not reconstructed from spreadsheets at month-end
Where deliveries are won and lost
On-time delivery is a chain, not a dock event.
A late shipment is rarely a shipping problem. It's an over-promised date, a schedule that drifted, a job that quietly fell behind, or a quality hold no one saw coming. Cortrova protects the date at every link because every link runs on the same live data model.
At the promise
ATP confirms the inventory exists and isn't already allocated; CTP reaches into finite-capacity scheduling to confirm the shop can build the order by the requested date. The committed date reflects both stock and capacity.
In the plan
The finite-capacity scheduler sequences jobs to protect due dates, and when a machine goes down or a hot order lands it re-sequences and flags the affected purchase and work orders automatically.
On the floor
Live operation status and a throughput forecast surface a job trending late early in the shift, with room to add a setup, move labor, or re-sequence before the finish is blown.
At the dock
The OTD Prediction agent forecasts arrival per order, Route Optimization picks the route that still hits the date, and the quality gate clears conforming product without a manual paperwork chase.
The intelligence
Agents that watch the promise, not just the ship date.
On-time delivery draws on Trunnion AI agents embedded across Scheduling, Production, and Shipping - all reading the same live signal your team does, and acting on it sooner.
OTD Prediction
Forecasts on-time delivery per order before it ships, turning a slipping promise into an alert and a decision instead of a customer's complaint.
Throughput Forecast
Projects shift and day output from real-time pace, so a job that will miss its due date is named at hour two, not at end of shift.
Constraint-aware sequencing
Weighs due dates, setup similarity, bottleneck load, and material readiness to propose a sequence that protects on-time delivery while minimizing changeovers.
Route Optimization
Automates carrier assignment against transit time and freight cost, defaulting to the cheapest route that still meets the promised date.
How it works
Adopting on-time delivery.
Promise against reality
At order entry, ATP/CTP checks live inventory and finite-capacity scheduling, so the delivery date committed to the customer reflects real stock and real shop load - not an optimistic guess.
Schedule to protect the date
Released work is sequenced by the finite-capacity engine against machine, tooling, labor, and material constraints, with the promised ship date driving priority.
Watch the floor in real time
Operation-level progress feeds the scheduler and the throughput forecast, so a slipping job is surfaced while there's still shift left to recover it.
Predict the slip before it ships
The OTD Prediction agent reads promised date, completion progress, allocation, and route plan to flag past-due risk early, ranked by impact on the customer.
Clear the dock and prove it
Route Optimization assigns the carrier, the quality gate attaches the certificate of conformance and holds only true non-conformances, and proof of delivery lands back on the original order.
Measure and close the loop
OTD, lead-time, and past-due metrics update continuously, so performance is a live number you manage - and promised dates get smarter over time.
FAQ
Questions, answered.
How does Cortrova predict a late delivery before the order ships?
The OTD Prediction agent reads each order's promised date, shop-floor completion progress, allocation status, and route plan, then forecasts whether it will arrive on time. When an order trends late, it raises a past-due risk alert while there's still room to expedite, re-route, or re-sequence - instead of reporting the miss after the customer has already noticed. Upstream, a throughput forecast off real-time floor pace flags a slipping job at hour two of the shift rather than at handover.
How does Cortrova keep from over-promising delivery dates in the first place?
Order promising runs Available-to-Promise and Capable-to-Promise checks at entry. ATP confirms the inventory exists and isn't already allocated; CTP reaches into finite-capacity scheduling to confirm the shop can actually build the order by the requested date. The committed date reflects both material and capacity, so it holds up instead of slipping after the customer has been told.
What happens to a ship date when a machine goes down or a hot order lands?
Real-time job progress, downtime, and inventory movements feed straight back into the finite-capacity scheduler. When the floor changes, the schedule re-sequences and reschedule-in / reschedule-out messages are raised on the affected purchase and work orders, ranked by impact on ship dates - so planners act first on the orders that actually threaten a delivery.
Why does running on one platform improve on-time delivery?
Most shops lose deliveries in the gaps between systems - sales promises a date the floor never sees, the schedule drifts from the material plan, and shipping learns the order is late at the dock. Cortrova runs sales, scheduling, production, inventory, quality, and shipping on a single live data model, so a date promised at order entry is the date the floor is scheduled to, tracked against, and shipped to - with no reconciliation gap to hide a slip.
Does protecting on-time delivery compromise quality or compliance?
No - they're enforced together. A shipment quality gate auto-attaches the certificate of conformance and blocks the dock only when an open NCR or quality hold applies, so conforming product ships without a paperwork scramble and non-conforming product can't leave the building. For aerospace, defense, and ITAR-regulated work, the compliance evidence travels with the shipment instead of being chased down afterward.
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