SMARTINTEROP CORP
← All case studiesAI TRANSFORMATION / MANUFACTURING

From order
to a working plan.

SmartInterop × Manufacturing
AI ERP & production planning

Connecting inventory, orders, and factory capacity so a manufacturing team can spend less time planning and deliver more orders on time.

Reported: 4 hours less daily planning. 7% fewer late orders.
Client
Manufacturing company in Asia
Industry
Automobile parts
Our work
Workflow design · Planning software · AI integration

Inside the planning workspace.

ACTUAL PRODUCT INTERFACE

English interface · Synthetic demonstration data. The schedule shown is illustrative.

AI ERP planning workspace with work orders, a production calendar, and the selected order details.
Work orders, schedule, and record details in one view. Select a work order to inspect its quantity, priority, and scheduled placement. Select the image to view it at full size.
English inventory screen showing demonstration stock quantities, reserved quantities, and available stock.
See available stock. Compare stock on hand with quantities already allocated to demand.
English sales order screen with four synthetic customer orders and their confirmation status.
Keep customer demand visible. Review order records and confirmation status.

One connected planning workflow.

EXPLORE THE SYSTEM ↓
DEMAND → SUPPLY → WORKILLUSTRATIVE EXAMPLE / NO CLIENT DATA
Customer order1,000 units

Cover demand before creating work.

Available inventory
200 units
Committed production
300 units
Remaining demand
500 units
Plan the remaining 500 unitsWork orders + material needs
Example quantities explain the logic. Existing allocations and eligible supply are accounted for before new requirements are created.

Use what is available.
Plan what is missing.

The material planner connects each order to its supply. It uses bills of materials to identify the work and purchases needed for uncovered demand.

DEPENDENCIES → CAPACITY → SCHEDULEILLUSTRATIVE SEQUENCE / NO CLIENT DATA
Line availabilityMaterial readinessChangeoversOrder priority
Work is placed around modeled constraints. A calculated schedule depends on accurate inputs and available capacity.

A plan that accounts
for the factory.

The scheduler considers calendars, maintenance, production dependencies, incoming materials, and modeled tooling limits. Order priority affects the cost assigned to a delay.

QUESTION → SCENARIO → DECISIONILLUSTRATIVE WORKFLOW / NO CLIENT DATA
The planner asks

“What changes if this order becomes more urgent?”

  1. 01
    Examine the effect

    Run the planning tools on a scenario.

  2. 02
    Inspect the proposal

    Review the captured changes.

  3. 03
    The planner decides

    Approve or reject the proposal.

AI proposals have a review step. Draft sessions are separate from live records; manual edits in live mode apply directly.

AI helps explore.
People decide what changes.

The assistant connects everyday questions to planning tools. Users can keep a scenario as a draft and inspect proposed operational changes before approval.

01 / THE CHALLENGE

Every order sets
other work in motion.

The team had to turn inventory, incoming materials, and production commitments into a workable daily schedule.

Available inventory may already be reserved. A purchase can arrive too late for an operation. Moving urgent work can affect the delivery dates of other orders.

These decisions depend on each other. The planning task was to connect them, see what demand was already covered, and calculate where the remaining work could fit.

What do we have?What must we make?When can it run?
02 / OUR SOLUTION

Connect the decisions.
Make the plan visible.

We built a shared workspace for work order scheduling and inventory planning, with AI assistance inside the workflow.

  1. 01

    Match orders to supply

    Connect customer demand to inventory, eligible production, and incoming purchases. Preserve committed allocations before planning new requirements.

  2. 02

    Calculate a production schedule

    Use a constraint solver to place work around capacity, calendars, dependencies, and changeovers. Give delivery delays different weights according to order priority.

  3. 03

    Give the planner a connected view

    Link the demand tree, production calendar, and record details. Let the team inspect a draft scenario and return to saved planning sessions.

  4. 04

    Make AI changes reviewable

    Capture a proposed change for approval. Check affected records for concurrent edits before applying it, so an outdated proposal can be stopped.

THE DIVISION OF WORK

Planning rules calculate requirements. The solver calculates the schedule. AI helps the user explore and understand the result.

03 / THE IMPACT

Less time planning.
Fewer late orders.

The engagement reports improvements in both planning effort and delivery performance.

Daily planning effort
4 hours less

Time available for exceptions, supplier coordination, and delivery decisions.

Late orders
7% fewer

Fewer orders missing their delivery commitment, as clarified by the project owner.

Reported engagement results. The measurement period and comparison data have not been supplied. Time released is staff capacity, not an automatic payroll saving.

Further measures of business value

These are additional measures to track. Values are intentionally blank; no result is claimed.

Replanning time after a disruption
minutes
Material-related stoppages
hours
Schedule adherence
%
Average inventory value
change
Expedited freight cost
change

04 / THE SMARTINTEROP CAPABILITY

From understanding
the work to building
the system.

This project brings together manufacturing rules, connected business data, optimization, interface design, and AI tools.

For your business, that means one team can examine a costly workflow, build the software around its real constraints, and define how to measure the result.

  • Process & data modeling
  • Custom planning software
  • AI tool integration
  • English & Chinese interface

START WITH YOUR WORKFLOW

What is slowing
your team down?

Let’s connect the data, decisions, and systems behind it.

See how we build systems
EXPLORE ANOTHER CASEA clearer surgical consultation.