Business outcome
Use this capability when the framework identifies repeatable work, approvals, exceptions, or handoffs that should move faster without losing evidence, ownership, or human control.
Services
Workflow & Exception Automation · Operations · Demand-Supply Matching
Demand-Supply Matching
Give planners one governed view of demand, supply, capacity, and exceptions.
Manufacturing plans break down when forecasts, orders, inventory, supplier commitments, capacity, and production schedules are reconciled separately. We connect those records and calculate proposed responses so planners can resolve shortages and excess with visible assumptions and authority.
A strong fit when
- Demand forecasts don't automatically translate into procurement or production plans
- Stockouts and excess inventory happen for the same SKU in the same month
- Planners reconcile demand and supply manually in spreadsheets every planning cycle
- Nobody catches the mismatch until it shows up as a missed order or a write-off
Why this service exists
Connect the technology decision to the work the manufacturing business must control.
System responsibility
Workflow engineering connects governed records, business rules, decisions, approvals, alerts, and exception paths to the systems where accountable work occurs.
Ownership and control
The manufacturer must control the process rules, decision rights, evidence, review thresholds, exception response, measures, and change path rather than burying them inside an automation tool.
01
The Problem
Forecasts and Purchasing Live in Different Systems
Automation problems begin when a tool is introduced before the normal path, exception path, decision rights, evidence, and human-control points are explicit.
What leaders see
Routine work still waits for individual follow-up.
Documents, orders, approvals, alerts, and exceptions remain trapped in inboxes and personal work queues.
What is actually happening
Rules and ownership are not executable.
Inputs, thresholds, approvers, escalation, evidence, and closure conditions vary by person or situation.
What gets worse
Automation scales an undefined process.
Work moves faster without becoming more reliable, explainable, or accountable.
02
What changes
Make the operating responsibility visible and governable.
Manufacturing plans break down when forecasts, orders, inventory, supplier commitments, capacity, and production schedules are reconciled separately. We connect those records and calculate.
01
Operating outcome
Give planners one governed view of demand, supply, capacity, and exceptions.
02
Work, decisions, and evidence involved
requests, documents, approvals
03
Decision and exception path
Which repeatable work can move automatically, which decisions require review, and how exceptions are assigned and closed.
04
Ownership and continuity
Automation needs stable rules, trusted inputs, accountable owners, human-control points, and a defined response when conditions fall outside the normal path.
03
Architecture
Build the service around the business record and decision.
Which repeatable work can move automatically, which decisions require review, and how exceptions are assigned and closed.
01Source record
02Governed connection
03Validation
04Business system
05Accountable owner
Work, decisions, and evidence involved
requestsdocumentsapprovalsalertsexceptions and audit history
04
Engineering scope
What Metrotechs engineers for Demand-Supply Matching.
The exact scope follows the approved business objective, source records, dependencies, controls, and delivery sequence.
01
Demand Signal Integration
Connect demand forecasts, customer orders, and channel signals into a single demand picture. Demand changes trigger automatic supply reassessment — not a manual review cycle.
02
Supply Capacity Modeling
Model supplier lead times, production capacity, and inventory positions against the demand plan. Identify constraints before they become stockouts.
03
Controlled Rebalancing
When demand or supply changes, recalculate procurement and production requirements and show the affected assumptions, constraints, and commitments. Purchase-order and work-order changes follow defined approval rules.
04
Exception-Based S&OP
Replace marathon monthly S&OP meetings with exception-based reviews. The system handles routine balancing; your team focuses on the exceptions that need human judgment.
05
Scenario Planning
Run what-if scenarios for demand spikes, supplier disruptions, capacity changes, and new product launches. Understand supply chain impact before making commitments.
06
KPI Dashboards
Track demand forecast accuracy, supply plan adherence, inventory health, and service level performance in real time. Identify mismatches before they become customer problems.
05
Delivery sequence
From operating reality to a solution the business can own.
Current-State Analysis
Map your demand planning, procurement, and production scheduling processes. Identify where disconnects exist and quantify the cost of supply-demand misalignment.
Matching Logic Design
Design the demand-supply matching rules — trigger thresholds, rebalancing logic, exception criteria, and escalation paths. Align with S&OP process and planning team workflows.
Integration & Build
Build the matching engine and connect to your ERP planning modules, demand forecast system, and procurement/production scheduling tools.
Deployment & S&OP Transition
Deploy the automated matching with exception dashboards. Transition S&OP process from full-review to exception-based. Train planning team on the new workflow.
Related services and systems
Continue through the connected operating environment.
Use these connected services and references to understand the records, workflows, and systems surrounding this work.
06
FAQ
Questions to answer before implementation begins.
Clear answers for manufacturing leaders evaluating the work, operating responsibility, and delivery path.
It extends MRP. MRP calculates material requirements from a static demand plan. Demand-supply matching continuously updates the demand signal feeding MRP and monitors whether MRP output is achievable given current supply constraints. It’s the governance layer on top of MRP.