Your plan doesn't match reality. That's why it keeps breaking.
Material shows up late. Machines overload. Operators aren't available. Skody AI builds a schedule that holds — based on real constraints, not assumptions.
Most schedule problems show up 2–3 weeks too late. This shows you today.
If you're already overbooked, Skody AI shows what slips — not a dashboard pretending you're fine.
No setup. No data prep. Just answer a few questions.
Trusted by high-mix CNC shops like Yeager Manufacturing
Most shops don't have a scheduling problem. They don't know where it's breaking.
No setup. No data prep. Just answer a few questions.
In 2 minutes, you'll see:
Used daily on real shop floors
"We wanted something we could confidently send to the shop floor — not just a guide. Skody AI gave us that."
"If we have absenteeism, we plug it in and validate a new plan in minutes."
Zach Yeager
Vice President, Yeager Manufacturing
If you're already overbooked, Skody AI shows what slips — not a green dashboard pretending you're fine.
A job can't be sequenced before its material lands. Skody AI uses expected arrival dates and pushes the job out automatically when the PO slips.
Real machines, real operators, real shift calendar, real load already on the floor. Not the infinite-capacity math your ERP uses.
Add a Saturday shift, a second operator on the lathe, or a new VMC. See exactly which due dates move and by how much — in seconds.
Skody AI won't hide overload behind a green KPI. It lists the late jobs, by how many days, and the constraint causing each one.
See the constrained work center, the queue stacked behind it, and which due dates that queue is about to take down.
A machine with no qualified operator on second shift isn't available. Skody AI schedules people and machines together — like the floor actually runs.
Most late jobs aren't a machine problem. They're a material that didn't show up, an operator who isn't certified, or a queue behind a single bottleneck nobody saw building.

See the constrained work center, the queued work behind it, and the due-date impact before late work spreads.

Know whether work is actually ready to run. Surface arrivals, shortages, and blockers before they become floor-level surprises.

See who is overloaded, where labor is available, and how upcoming work is distributed across the team.
Manufacturing scheduling software determines:
Its goal is to:
Traditional tools require manual planning.
Modern systems — like AI production scheduling software — continuously optimize as conditions change.
📊
Records what happened. Requires manual sequencing and constant adjustment. Can't optimize or adapt.
📋
Static rows that break the moment a rush job arrives. No constraint logic. No reflow.
🔒
Enterprise tools that take months to deploy. Optimizes once, then you're on your own.
None of them handle real-time changes.
Real scheduling means continuously deciding what can run next based on labor, materials, bottlenecks, and shifting priorities.
That's what makes Skody AI different.
For a typical 30–50 machine shop, reactive scheduling and daily firefighting costs $300K–$450K per year in hidden losses:
Late shipments
$120K–$200K/yr
Expedite freight, contract penalties, lost repeat orders
Idle machine time
$80K–$150K/yr
Poor sequencing leaves spindles waiting while planners rebuild
Overtime & expedites
$60K–$100K/yr
Weekend shifts and rush charges to recover from broken schedules
Planner burnout
Priceless
3–4 hours/day rebuilding schedules that break by noon
The problem isn't the planner. It's the tools. And the cost compounds every single day.
The hidden cost is not just lateness. It's bad commitments, overloaded teams, material churn, and constant replanning.
Good manufacturing scheduling software doesn't just digitize your whiteboard. It should:
Build the schedule for you — accounting for machine availability, operator certifications, material readiness, setup-to-setup time, and routing dependencies
Reflow the plan when a rush job lands, a machine goes down, or material gets pushed — not require the planner to start over
Let the planner override anything, anywhere, without breaking the rest of the schedule
Flag at-risk jobs days before the ship date — not after the customer calls
Schedule the operator and the machine together — because a $400K VMC with no qualified operator is just a paperweight
Skody AI does all five. Most "scheduling software" stops at the first one.
Import jobs from ERP via API
Click optimize
See full schedule
Adjust → auto-reflow
Built for discrete manufacturers — CNC machining, job shops, fabrication, and high-mix work where every week looks different.
Pull jobs, machines, operators, and setup matrices from your ERP. Skody AI produces a sequenced schedule in minutes — not a planner spending the morning rebuilding a spreadsheet. No 6-month rollout. Connect the ERP, see your first real schedule the same day.
Drag a job. Pin a setup. Override a constraint. The planner makes the call — Skody AI handles the cascade. If you want to build a section by hand, do it. Nothing is locked.
Rush job at 10am. Spindle down at 2pm. Material slips a week. Skody AI reflows the schedule, flags the jobs now at risk, and shows the downstream impact before it lands on the OTD report.
Bottleneck queue, material readiness, operator load, OTD risk, machine utilization. One place — so the morning huddle stops being a treasure hunt across spreadsheets and the ERP.
Most scheduling software stops at machines. Skody AI schedules everything that affects your throughput — including materials, labor, and outside processing.
Co-schedules operators alongside machines. Certifications, shift patterns, and labor availability are all constraints the engine respects.
Skody AI doesn't just schedule jobs. It shows whether the work is actually ready to run based on material and external dependencies.
Schedules pallet loads as grouped operations — optimizing changeovers and maximizing spindle time across tombstones and pallet pools.
Explore pallet schedulingIdentifies which jobs can run unattended overnight and schedules them into lights-out windows automatically.
Machine scheduling is table stakes. Skody AI schedules your entire production system.
Your ERP is great at tracking orders, inventory, and costs. It was never designed to make real-time production decisions.
ERP requires manual sequencing, ignores setup dependencies, and can't reflow when rush jobs arrive. By 9am, the plan is already wrong — and the planner starts firefighting.
When one person holds the entire schedule in their head, every vacation, sick day, or resignation is a production crisis. No visibility into what slips next. No labor-aware capacity logic.
ERP shows you what's late after it's late. No material-aware execution layer. No bottleneck analysis. Skody AI shows you what's going to be late — right now — with time to fix it.
Skody AI is not a scheduling tool. It's the decision layer your ERP was never designed to be.
Your ERP stays the system of record. Skody AI becomes the system of action.
Skody AI is built for operations where routing, labor, materials, setups, and changing priorities shape delivery — including:
High-mix, low-volume operations — where every job is different, setups matter, and no two weeks look the same
CNC machining shops — with complex tooling, fixturing, and setup dependencies
Fabrication teams — where routing, outside processing, and material timing drive delivery
Tubing / forming environments — with changeover-heavy workflows and material dependencies
Job shops and contract manufacturers — producing custom parts, assemblies, or components to order
Discrete manufacturers with 20–50+ machines — where unpredictability is the biggest scheduling challenge
High-volume production lines with fixed routings
ERP-first environments that need scheduling "good enough"
Shops that run the same 5 parts every week
Built for high-mix discrete manufacturers with constant change — where constraints, not capacity assumptions, drive delivery.
Used by shops that needed earlier signal — not a prettier static schedule
15%
Fewer Production Delays
Measured at Three Sigma Technologies after deploying Skody AI
Kent, WA
days → seconds
Scheduling time
1 week → 1 year
Planning horizon
15% reduction
In production delays
Winter Park, FL
60% → 80%
On-time delivery (OTD)
Live
Employee clock-in/clock-out
Instant
Next job dashboard visibility
"Skody AI completely changed how we schedule. We extended our planning horizon from one week to a full year — without locking ourselves in."
"We were stuck under 80% OTD. With Skody AI, we're now planning toward 100%. What really stands out is how it accounts for both machines and people — not just a static schedule, but a worker-driven plan our team actually follows."
ERP tells you what happened.
Skody AI decides what happens next.
Your ERP probably has a scheduling module. Here's why it's not enough for a real discrete manufacturer:
| Capability | ERP Scheduling | Skody AI |
|---|---|---|
| Setup time optimization | No | Yes |
| Real-time reflow on changes | No | Yes |
| Operator & shift awareness | No | Yes |
| Material-aware scheduling | Limited | Yes |
| Bottleneck visibility | No | Yes |
| At-risk job visibility | No | Yes |
| Worker + machine co-scheduling | No | Yes |
| Drag-and-drop manual override | Limited | Yes |
| AI-powered optimization | No | Yes |
| Rush job handling | Rebuild manually | Auto-reflow |
| Executive OEE dashboards | No | Yes |
| Pallet & lights-out planning | No | Yes |
| Implementation time | Months | Same day |
Questions about labor-aware scheduling, materials, bottlenecks, or planner control? Start here.
Send us a sample of your jobs, machines, and operators before the call. We come in with your shop on the screen — not a generic deck — and walk through what slips, why, and what changes.
No credit card · 30-minute working session · Your data, your constraints