Make the best decision before the problem reaches the floor.
When orders, materials or capacity change, ConstraintFlow shows what is at risk, explains why and recommends the best action—down to which plant should run the order, on total landed cost: setup, run and freight—using the systems and teams you already have.
Material delay + capacity loss at Plant A
Move the order to Plant C and run on Line 3
ConstraintFlow runs live across an 11-plant packaging network — recommending cost-optimal site and machine assignments on real orders since June 2026, validated by the customer's own master schedulers.
How we measure results →Your team should know the next best move.
A customer moves a due date. A material shipment is delayed. A machine becomes unavailable. A high-priority order enters the schedule. Today, planners rebuild spreadsheets, call different teams and rely on experience to understand the impact.
What is now at risk?
Orders, capacity, materials and customer commitments affected by the change.
What should we do next?
The best available response based on your actual operating constraints.
What happens if we choose it?
The expected effect on throughput, delivery, changeovers, inventory and cost.
Your planners make the decision. ConstraintFlow makes the consequences clear.
Your systems record the operation. They do not run it.
- ERP knows the order.
- MES knows what happened on the floor.
- WMS knows where inventory is.
- Spreadsheets hold the plan.
- Experienced people hold the exceptions, trade-offs and unwritten rules.
But no system brings all of that together when someone must decide:
- What should run next?
- Which order is at risk?
- Where should the work move?
- Which material matters most?
- What should be expedited?
- What will this decision cost?
That gap between information and action is where capacity, service and margin are lost.
One customer change. Every consequence, connected.
Today this chain is a morning of meetings, calls and spreadsheets. ConstraintFlow follows it end to end — and returns one recommendation for a person to approve.
- The triggerA customer changes an order
Quantity up, date pulled in — a routine Tuesday change.
- DemandDemand shifts
The change ripples into what must be produced, and by when.
- InventoryInventory is constrained
The board needed for the new run is short at the assigned plant.
- ContractA contract minimum is at risk
The promise made in a contract is now a commitment the schedule may break.
- ProductionThe schedule is re-evaluated across plants
ConstraintFlow compares sites on total landed cost — setup, run and freight — and recommends the move.
- FinanceThe financial impact is shown
What the move costs, what it protects, and the trade-offs behind it.
- Human decisionThe planner approves
Accept, adjust or reject — with the reason captured.
- ExecutionThe ERP is updated
The decision lands back in the systems that run the operation.
One shared recommendation instead of a negotiation about what reality is.
See the operation. Understand the trade-offs. Act with confidence.
ConstraintFlow brings orders, capacity, materials, schedules and customer commitments into one current view of the operation. Then it continuously evaluates what is changing and recommends the best response.
See what matters
Know which orders, materials, machines and commitments need attention now.
Choose the best action
Compare realistic options based on actual plant rules and constraints.
Measure what happened
Track what was recommended, what the planner decided, what the floor executed and what result followed.
What the operation learns becomes part of the next decision.
Every decision becomes part of the operating knowledge.
A recommendation is only useful if the operation can learn from what happened next. ConstraintFlow records the recommendation, the planner's response, what was executed on the floor and the resulting operational outcome.
Recommend
ConstraintFlow evaluates the current operation and proposes the best available action.
Review
The planner approves, adjusts or rejects the recommendation and can capture the reason.
Measure
ConstraintFlow compares the approved decision with actual execution and production results.
Improve
The operation uses the result to refine rules, capabilities, constraints and future recommendations.
The value is not only a better decision today. It is a system that makes tomorrow's decisions easier to trust.
Build a schedule the floor can actually run.
A production schedule is only useful when it accounts for real conditions. ConstraintFlow recommends an executable schedule, explains every major trade-off and lets the planner approve, adjust or reject it.
Most schedulers decide the sequence within a plant. ConstraintFlow first decides which plant and which machine should run the order at all—on total landed cost: setup, run and freight—then sequences it. When a rush order arrives or a machine becomes unavailable, it evaluates feasible alternatives across the network and recommends the schedule that best protects throughput and customer delivery.
- Fewer avoidable changeovers
- More usable capacity
- Less manual replanning
- Better protection of customer commitments
Scheduling is often the first use case because it exposes the relationships between orders, capacity, materials, changeovers and customer commitments. The same operational model can then support additional decisions across the plant and network.
- Machine capabilities
- Tooling and die availability
- Material constraints
- Changeover time
- Labor and capacity
- Freight and delivery geography
- Customer priorities
- Current work on the floor
ConstraintFlow understands how the operation fits together.
Every operating decision depends on relationships between orders, machines, materials, tooling, labor, capacity, priorities and customer commitments. ConstraintFlow maintains a current operational model of those relationships so it can evaluate what is feasible, what is at risk and what each decision will affect.
This living operational model is ConstraintFlow's operational digital twin—not a 3D representation of the plant, but a decision-ready model of how the operation actually works.
The schedule is only the beginning.
The same operational model used to build an executable schedule also reveals inventory risk, purchasing priorities, capacity conflicts and threatened customer commitments. That means each team can make decisions from the same understanding of the operation instead of optimizing separate spreadsheets.
Production
What should run, where and in what sequence?
Inventory
What will be needed, where is it needed and what is at risk?
Purchasing
What should be purchased or expedited based on operational impact?
Customer commitments
Which orders are at risk and what action protects delivery?
One operating model. Multiple decisions. One measurable feedback loop.
One operational model. Every decision connected.
Most manufacturing applications solve one problem using their own data, rules and workflow. ConstraintFlow is different. Scheduling, inventory, purchasing, capacity and customer-delivery decisions all operate on the same understanding of orders, machines, materials, capabilities, constraints and actual production.
One operating model. Multiple decisions. One measurable learning loop.
Build the decision system around the operation—not another system of record.
Scheduling was the first module into production. Eight further Operational Intelligence Modules are available for deployment — each plugs into the same operational model, decision loop and governance.
ConstraintFlow keeps the decision current after the plan is approved.
Orders change. Materials arrive late. Machines become unavailable. Priorities shift. Once connected to the signals needed for the use case, ConstraintFlow detects important changes, evaluates their impact and brings the decision back to the responsible person.
Detect the change
Identify the operating event that could affect the plan.
Recalculate the impact
Determine which orders, resources and commitments are now affected.
Reopen the decision
Recommend the best available response and return it to the responsible planner or operator.
The approved plan is not treated as static when the operation is not.
Where every order changes the equation.
Packaging manufacturers manage frequent order changes, machine-specific capabilities, tooling constraints, expensive changeovers and tight customer commitments. ConstraintFlow helps planners evaluate those trade-offs as one operating problem.
ConstraintFlow measures the decision—not just the dashboard.
The platform tracks the full path from recommendation to operational result, shaped around real orders, real production constraints and real planner decisions—not idealized demo scenarios.
- 1Recommendation issued
- 2Planner accepted, adjusted or rejected
- 3Approved action scheduled
- 4Execution compared with the decision
- 5Operational result measured
The reason can become a case for investigation and improvement—material unavailable, capability incorrect, priority changed, or a planner rule not yet represented.
The outcome may lead to a data correction, rule update, machine capability change, workflow improvement or product correction—under controlled governance.
Cross-site scheduling across an 11-plant packaging network.
Production planners manage orders across machines with different size, tooling, print and operating capabilities. Manual schedules can leave usable capacity hidden while costly changeovers consume production time—a changeover can run 2 hours or 21, depending on what changes.
ConstraintFlow runs live on this network today, evaluating eligible plants and machines, sequence-dependent changeovers, freight, capacity and customer priorities to recommend the schedule with the lowest true landed cost.
View the Deployment Story- Setup time avoided
- Schedule acceptance
- Execution variance
- Throughput impact
- Customer commitments protected
Every recommendation is tracked to an outcome.
Results are measured against accepted recommendations, actual execution and production outcomes—so value is proven, not asserted.
Start with one high-value decision.
Understand the operation
We connect the information needed for the selected use case and document the rules your team uses to make decisions.
Prove the recommendation
ConstraintFlow runs alongside your existing process so planners can compare its recommendations with current decisions.
Put it into daily use
Once the recommendations are trusted, they become part of the operating workflow—with approvals, measurement and continuous improvement.
Begin with one decision. Prove the value. Expand from there.
Start with one decision. Build the decision system around it.
ConstraintFlow does not require the customer to adopt every capability at once. Each new use case builds on the same operational model, governance and learning loop.
Results that matter on Monday morning
Produce more with existing assets
Recover capacity lost to poor sequencing, avoidable changeovers and imbalanced workloads.
Protect customer commitments
Identify threatened orders early enough to take action.
Reduce planning effort
Spend less time rebuilding plans and more time managing the exceptions that matter.
Make decisions visible
Give plant and enterprise leaders a shared view of what is at risk, what is being done and why.
Improve the operation without replacing the systems that run it.
Works with what you have
Keep ERP, MES, WMS and current execution systems in place. Connects to any system — database, API, file, mainframe, and streaming; batch and real-time. ERP connectivity in days.
People remain accountable
Recommendations can require review and approval before they affect operations.
Deploy around your requirements
Support enterprise security, data isolation and customer-approved deployment patterns.
Why manufacturing still runs on meetings
Every plant has one: the 90-minute morning meeting where eight departments negotiate what reality is. The meeting was never the problem — it was the workaround.
Bring us one difficult operating decision.
Show us a scheduling, capacity, inventory or delivery decision your team struggles to make consistently. We will map the decision, the constraints and the measurable outcome ConstraintFlow should improve.