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Move every orderfrom promise to delivery.

Connect customer orders, factory capacity, and ocean shipments to turn delivery promises into an executable plan.

Order coordination → APS scheduling → Ocean shipment

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A continuous fulfillment path connecting customer orders, finite-capacity APS scheduling, and ocean shipment
Customer ordersAPS schedulingOcean shipment
A continuous fulfillment path connecting customer orders, finite-capacity APS scheduling, and ocean shipment
Customer ordersOrder intake · Due-date review
APS schedulingFinite capacity · Constraint checks
Ocean shipmentShipping plan · Sailing updates

One executable path from order to delivery

Connect order intake, factory scheduling, and shipment milestones. Surface constraints early and create a delivery plan the team can commit to, execute, and track.

See how the order-to-delivery flow works

  1. Order coordination

    Multi-channel order intake · Due-date interpretation

  2. APS scheduling

    Finite-capacity planning · Constraint optimization

  3. Ocean shipment

    Shipment-plan matching · Booking and sailing alignment

  • One operating viewAcross orders, factories, and milestones
  • Constraint-ledCapacity, materials, and logistics checked together
  • Ready to executePlans move into action with visible progress
AI-native · Always current

AI that keeps pace with the shop floor

Order changes, machine status, and actual progress return to the same decision model. Every execution result improves the next schedule, keeping the plan close to factory reality.

A plan is a living operating loop, not a one-off answer

Orders and constraints

Orders from every channel
Constraints and rules parsed

AI plan

Constraint-aware scheduling
A plan the team can commit to

Rush orderMachine statusActual completion

Execution

Plan released to factory and logistics
Execution progress feeds back

Feedback

Progress and exceptions return to the model
Continuously calibrated against reality

A plan is a living operating loop, not a one-off answerBook a demo to see the planning loop in action

  1. Orders and constraints

    • Rush orders
    • Machine status

  2. AI plan

    • Due dates
    • Capacity
    • Materials

    Replan when constraints change

  3. Execution

    Actual completion

  4. Feedback

    Progress and exceptions return to the model

Next planLearns from actual progress

APS scheduling built for finite capacity

Calculate due dates, routing, machine capacity, and material constraints together. See conflicts early, then give planners a schedule they can adjust and release.

APS schedule showing work orders, capacity load, constraint risks, and delivery milestones
Recommended plan · Order set 0520

Protect the customer promise first

Move near-due orders forward and expose one material constraint and one outsourcing risk early.

Work orderCapacity loadMaterial constraintRisk alert

Swipe sideways to see the full schedule and delivery milestones →

  • Line A, Welding: Order A from 5/20 to 5/21; A-02 from 5/22 to 5/22; Pending from 5/26 to 5/27. Delivery result: Order A, Early delivery.
  • Line B, Machining: Order C from 5/21 to 5/23; C-02 from 5/24 to 5/25; Changeover from 5/27 to 5/28. Delivery result: Order C, On time.
  • Line C, Assembly: Material prep from 5/20 to 5/21; Order B from 5/23 to 5/25; B-02 from 5/26 to 5/28. Delivery result: Order B, On time.
  • Partner D, Surface finishing: Outsource from 5/21 to 5/22; Order D from 5/25 to 5/27. Delivery result: Order D, Partner risk.
Line / date
5/205/215/225/235/245/255/265/275/285/295/30
Delivery milestone
Line AWelding
Order AA-02Pending
Order AEarly delivery
Line BMachining
Order CC-02Changeover
Order COn time
Line CAssembly
Material prepOrder BB-02
Order BOn time
Partner DSurface finishing
OutsourceOrder D
Order DPartner risk
Multi-objective planningBalance delivery, capacity, changeovers, cost, and inventory
Early risk detectionSpot due-date conflicts, material shortages, and overload
Dynamic replanningRespond quickly to rush orders, changes, and exceptions
05 / Planner control

Planner-led, so recommendations reach execution

The system proposes an executable option and surfaces risk. The planner adjusts priorities, confirms key constraints, and releases the final plan for follow-through.

  1. 01

    Recommend

    Generate an executable option and flag the risks

    Recommended schedule / Order set 0520Move Order A17 forward and preserve the partner window
    Delivery priority
    Line AWelding
    Line BMachining
    Line CAssembly
    Partner DSurface finishing
    Order D12 may miss its due date if the partner return slipsConfirm
  2. 02

    Confirm

    Adjust priorities and strategy, then confirm constraints

    Planner workspaceAdjust strategy and confirm key constraints
    • Order due dates and customer priority
    • Finite capacity on critical machines
    • Material readiness and partner windows
    The planner keeps final approval
  3. 03

    Execute

    Release the plan, track progress, and update exceptions

    Execution statusWaiting for planner approval
    Work orderResourceStatus
    Order A17Line APending
    Order C08Line BPending
    Order D12Partner DRisk watch

    Rush orders, shortages, or equipment exceptions return to the recommendation layer for recalculation

Kavop
Planning layer

Data normalization, rules and models, APS engine, visualization, and tracking

Existing data inputs (read-only)

Use order, routing, and change data already held in ERP exports, spreadsheets, and email, then return planning results to the workflows your team already uses.

  • ERPMaterial masters, BOMs, routings, inventory, and purchasing
  • ExcelOrder lists, capacity data, parameters, and custom rules
  • EmailOrder changes, due-date notices, approvals, and alerts
Book a demo with one anonymized order set
06 / Manufacturing use cases

Built for real manufacturing constraints

Apply one order, capacity, and delivery model across discrete manufacturing, process production, and complex assembly.

Book a demo for your manufacturing scenario
  1. Line drawing of a discrete manufacturing cell with CNC equipment, robotics, and conveyors
    01

    Discrete manufacturing

    High mix · Low volume · Multiple operations

    Keep due dates aligned across orders, operations, and machines.

  2. Line drawing of a process manufacturing installation with tanks, columns, pumps, and pipework
    02

    Process manufacturing

    Long cycle · Continuous capacity · Material coupling

    Plan material rhythm, equipment load, and delivery windows together.

  3. Line drawing of a complex wind-turbine assembly area with nacelle, rotor, and workstations
    03

    Complex assembly

    Multi-level · Long cycle · Critical-part coordination

    Expose critical subassembly and supply constraints before they delay the project.

See clearly. Commit confidently.

Share your details and we’ll arrange a focused product demo.

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Kavop | Manufacturing orders from intake to shipment