Problem · For manufacturing operations leaders
Every hour your line waits on parts is output you don't get back.
See material and capacity changes before they reach the floor, and avoid line-down time, overtime and missed ship dates.
It usually starts with
- Material shortages
- Production schedule conflicts
- Late outside processing
- Engineering changes (ECOs)
- Capacity crunches
Where it starts
It starts with one person's morning.
Luis Ortega · production planner
Wednesday, 7:45 AM. Luis has 14 jobs on the schedule next week.
The schedule says job J-2187 starts Monday on Line 2, but the supplier's email says the motor housings arrive Wednesday. The plan still assumes Monday.
Before he can act, Luis has to work out what the late material breaks, what else can run, and whether the Oct 30 ship date still holds.
Illustrative example · sample company and data
Who it helps
From the person handling it to the leader carrying the cost
For Luis, who handles the changes
- Sees which jobs are at risk, and why, before the shift
For the team
- Fewer reshuffles and idle line hours
For the leader: what improves, measured against your baseline
- Orders shipped on the committed date
- Expedite and overtime cost
- Idle line hours
The information exists. The operational picture doesn't.
Changes arrive in the wrong inbox.
Supplier dates, short receipts and capacity changes land with purchasing or maintenance, not with planning.
The schedule doesn't know.
The plan stays as it was until someone notices, usually the morning the line is ready.
Expensive firefighting.
Expediting, overtime and reshuffling that earlier warning would have avoided.
Ship dates you can't trust.
Managers see system statuses, but can't see which committed orders are actually at risk.
How one change spreads
From one message to a business result
What changes when it's caught in time
BeforeA material or capacity slip reaches the floor unannounced
AfterAvoided line-down time
The run at risk is known while there's still time to re-sequence or bring material forward.
BeforeLate jobs are recovered with overtime
AfterLess overtime and weekend recovery
Problems worked days ahead, in normal hours, instead of on Saturday.
BeforeShip dates are missed before sales knows
AfterFewer missed ship dates
The committed orders behind each job are checked the day a constraint changes.
BeforeConstraints show up on the day of the run
AfterEarlier warning on material and capacity
Each change is set against the schedule as soon as it arrives.
BeforeThe schedule changes daily to absorb surprises
AfterA more stable schedule
Fewer last-minute changes, so the floor runs the plan it was given.
The cost that matters most
Avoided line-down time
Late material for SO-4490. The line found out at setup.
- Line idle for most of a shift$15,000
- Overtime to make up the run$6,200
- Scrap from a rushed restart$3,800
- Late-delivery penalty on SO-4490$4,300
10 a year
$293,000
off operating profit
In sales terms
$5.9M
of new sales to earn the same, at a 5% margin
Illustrative example · sample company and figures. Use your own numbers.
Why it's so expensive
A stopped line still pays for labor and overhead, and the output it misses is made up with overtime or shipped late. Most stoppages trace back to a material or capacity change that someone knew about days earlier.
How LevelOneAI prevents it
Each material and capacity change is checked against the schedule the day it arrives, and the run at risk goes to the planner while there's still time to re-sequence or bring material forward.
Caught when the supplier wrote, the run was re-sequenced and the line kept moving.
What we measure, against your baseline
One job, start to finish
A late part, a line down for maintenance, and a ship date that still looks fine
It catches the problem five days before the job starts
Today's process
- Wed 21Supplier update lands with the buyer
- Thu 22ERP and schedule unchanged. Job still shows ready
- Fri 23Next week's plan is locked as is
- Mon 26Found at 6 AM when the housings aren't there. Line 2 sits idle, and Line 1 is down Tuesday
With LevelOneAI
- Wed 21Supplier update matched to PO 7731. Date change detected: Mon → Wed
- Wed 21Checked against the bill of materials, inventory, capacity and the ship date. Work item opened: Oct 30 at risk
- Wed 21Resequence proposed: a job with all parts on hand takes Monday's slot, J-2187 starts Wednesday
- Thu 22Planner approves with five days to spare
It connects materials, capacity and the committed order
"Motor housing delivery moves from Mon Oct 26 to Wed Oct 28."
Expected receipt still shows Mon Oct 26.
The pump assembly needs housing 4410-M, one per unit.
Housings on hand cover 12 of 60 units.
Line 1 down Tuesday. Line 2 is the only option early in the week.
Northfield ships Oct 30. No shipping notice from the supplier yet.
The conclusion it reaches: J-2187 can't start Monday, but J-2203, with all parts on hand, can take the slot. Northfield still ships Oct 30 if J-2187 starts Wednesday.
It drives the issue to a verified resolution
Who does what
- Gets Wednesday's delivery confirmed in writingBuyer Thu Oct 22
- Approves the resequence on Line 2Production planner Thu Oct 22
- Updates the schedule and the PO date in the ERPProduction planner After approval
- Confirms the housings arrivedReceiving Wed Oct 28
Closes only when
- Supplier confirmation linked to the PO
- Schedule and ERP updated
- Housings received
- SO-4490 shipped Oct 30
Warning
5 days
before the job, instead of the morning of
Line time kept
16 hours
Monday's slot used by a ready job instead of sitting idle
Sources connected
6
supplier update, PO, bill of materials, inventory, maintenance and sales order
Illustrative example · sample company and figures. Operations Resolution is measured against your own baseline.
What we connect
- Supplier and purchasing email
- ERP purchase orders and inventory
- Bills of materials
- Production schedule and capacity
- Committed sales orders
What closes an issue
- Delivery confirmed in writing
- Schedule and ERP updated
- Housings received
- SO-4490 shipped Oct 30
Why not a planning or scheduling tool? A scheduling tool optimizes the plan it's given, while LevelOneAI reads the supplier email that changed it, shows what it breaks and proposes the fix for the planner to approve.
See the Production & Customer Delivery Risk demoStart with one workflow. Expand as needs evolve.
LevelOneAI starts by helping operations teams resolve specific operational problems, such as production changes that put delivery dates at risk. The same approach can extend to other workflows where information is fragmented across systems, exceptions go unnoticed, and resolution depends on manual coordination.
Where teams often go next
- Engineering change fallout
- Material shortages
- Material variance and BOM accuracy
- Capacity and schedule changes
See it on your own work.