For the Operations Director
Decide with the same numbers the floor runs on.
Across departments or across sites, your hardest problem isn't the decisions - it's that every decision starts with reconciling three versions of the truth. Cortrova runs schedule adherence, OTD risk, capacity, and cost on one data model across every operation, so the number in your review is the number the floor transacted, not a spreadsheet somebody massaged on the way up.
The challenge
- !Every site and department reports its own numbers its own way, so the monthly review spends more time arguing about whose data is right than deciding what to do
- !OTD risk is discovered after the miss: by the time a late order rolls up through the weekly report, the customer already knows
- !Capacity decisions - where to load work, when to add a shift, whether to quote the job - run on stale utilization snapshots instead of live shop load
- !Cost variance surfaces at month-end close, weeks after the scrap, the overtime, and the expedited freight that caused it
How Cortrova answers
- ✓One data model across all 17 production departments: the schedule adherence, OTD, capacity, and cost figures you review are computed from the same transactions the floor runs on, with no export-and-reconcile layer in between
- ✓OTD risk surfaces before the miss: an OTD Prediction agent forecasts on-time arrival per order and flags the ones trending late while there's still time to expedite, re-route, or re-sequence
- ✓Live capacity by work center and by site, so loading decisions, quote commitments, and shift-add calls run against the shop's real load instead of last month's utilization report
- ✓Cost rolls up continuously - labor, material, scrap, and overtime against standard as the work happens - so a variance is a mid-month conversation, not a month-end autopsy
- ✓Unlimited users at a flat annual rate means every site gets the whole system: no per-seat math deciding which supervisors see the numbers, and no site running a shadow spreadsheet because seats ran out
A day on the platform
Operating reviews without the reconciliation tax.
The leverage of the job is deciding well and early. That takes numbers you trust and signal that arrives before the damage is done - both of which are structural properties of running everything on one model.
Morning - the operation at a glance
Schedule adherence, OTD forecast, capacity load, and cost variance by department or by site, on one screen, computed from live transactions. No waiting for the Monday roll-up to know where you stand.
The at-risk order list
Orders trending late are ranked by customer impact, each traceable to its cause - a down machine, a quality hold, a short receipt. You intervene on the five that matter instead of auditing the five hundred that don't.
Loading the next big job
Before committing a date, capable-to-promise checks the actual finite-capacity load across work centers. What-if scenarios compare taking the job as quoted, adding a shift, or shifting work between sites - with the trade-offs visible before you commit.
The monthly review that got shorter
Every department presents from the same data model, so the numbers agree before anyone walks in. The meeting spends its time on decisions - where to add capacity, which customer to protect, what to fix - not on whose spreadsheet is right.
How it works
Adopting For the Operations Director.
Weeks 1-2: map the operation
Discovery covers your departments or sites, the metrics your reviews run on, and the systems that stay. With 33 integrations, Cortrova connects to what you keep and replaces what you don't.
Weeks 2-4: consolidate the data
Items, BOMs, routings, open orders, and cost standards migrate onto one model. This is where the three versions of the truth become one - before go-live, not after.
Weeks 4-6: train every level
Unlimited users means training reaches from your staff down to the floor at every site, with role-based views so each level sees its own numbers - and they all trace to the same transactions.
Weeks 6-8: validated go-live
Go-live validates that the roll-ups you'll run the business on match the floor's transactions. Most manufacturers complete the five-phase deployment in a typical 4-8 weeks, and phased multi-site rollouts follow the same playbook per site.
FAQ
Questions, answered.
Can Cortrova run multiple sites on one system?
Yes. Each site runs its own scheduling, inventory, and production on the shared data model, and your view rolls up across them without an export-and-reconcile layer. Deployment is per your architecture - cloud, on-premises, or fully air-gapped - which matters when some sites carry ITAR-controlled work and others don't.
We have systems we can't rip out. How does Cortrova coexist?
The integration layer carries 33 integrations and roughly 1,286 API endpoints, so Cortrova connects to the systems that stay - a corporate financial system, a customer EDI pipe, existing machine data collection - while replacing the scheduling spreadsheets and disconnected point tools underneath. Discovery in weeks one and two maps exactly which systems integrate and which retire.
How do I know the roll-up numbers are right?
Because they aren't roll-ups in the traditional sense - there's no aggregation layer where numbers get re-keyed or massaged. The OTD figure in your review is computed from the same order and shipment transactions the floor executed, with a 100% audit trail on every change. When a number looks wrong, you drill to the transaction that produced it instead of interrogating a spreadsheet's author.
How does flat pricing work across multiple sites and hundreds of users?
One flat annual rate, unlimited users, no per-seat licensing, no feature tiers, with implementation included and all 205+ features live from day one. The practical effect: adding a site or putting every supervisor on the system is an operational decision, not a procurement negotiation, and no site ends up half-adopted because the seat budget ran out.
Get started
See Cortrova through the operations director's screen.
We'll tailor a demo to your role, your KPIs, and your operation.