Make the customer promise work from demand to delivery.
Where could AI help your team investigate a late order, review a supplier change, or reduce purchase-order rekeying? Order-to-Door™ follows the work from demand through production, delivery, and service to identify useful applications and the records and decisions they depend on. Metrotechs uses its four phases and ten stages within Launchpad to assess those connections and develop your complete Digital Transformation Roadmap.
Your customer sees one outcome. Your teams coordinate many decisions.
From quote and promised date to shipment and delivery, your customer needs a clear answer about what will arrive, when, and what happens if the plan changes.
The four phases follow the customer promise from demand and order capture through planning, production, distribution, delivery, and service. A delivery-risk summary may need evidence from several phases. We trace those dependencies, agree who reviews the answer, and phase a focused application alongside the wider improvements it needs.
01
Promise
Sales, finance, and operations validate demand, terms, and dates before making a commitment the business can keep.
02
Orchestrate
Planners, buyers, and production owners coordinate supply, capacity, quality, and inventory, with clear decisions when the plan changes.
03
Deliver
Warehouse, shipping, and service teams fulfill the order and connect partner updates to dependable customer information.
04
Sustain
Service, quality, finance, and process owners resolve issues, check adoption, and carry the learning into the next operating cycle.
The ten operating stages
See where the customer promise holds or breaks down.
Orders change, split, wait, expedite, return, or reroute. These stages help your team trace what happens across the operation. The Roadmap Solutions below show changes that may support each stage; assessment determines which belong in your Roadmap.
Your demand may arrive through sales, dealers, portals, ecommerce, EDI, service, forecasts, replenishment signals, or recurring agreements. This stage helps you connect each request to its customer, channel, and planning context before work begins. Sales and channel owners agree who receives each request and how forecast demand differs from an order. Teams practice handling an incomplete or duplicate submission before the changed intake becomes the normal way of working.
Systems and partners to examine
CRM, dealer portals, ecommerce platforms, EDI, customer-service systems, marketing automation, demand-planning tools, APIs, spreadsheets, and email.
Before you make a promise, your team needs to know who the customer is and which rules apply. Check account status, contracts, credit, tax, channel rights, compliance, purchasing authority, and any restrictions that affect the order. Commercial, finance, and compliance owners agree which checks are required and who may approve exceptions. Staff learn the revised account-validation steps, and testing confirms that an unresolved hold reaches the right decision-maker before a commitment is made.
Turn your customer’s need into an offer you can fulfill. You may need to check configuration, engineering, BOMs, routing, contract pricing, freight, tax, margin, availability, lead times, and approvals before you quote. Sales, engineering, and pricing owners agree the configuration, margin, and lead-time rules. Quote reviewers practice using the changed rules and escalating a request that falls outside them before customers rely on the resulting offer.
Once your customer accepts, make sure the order carries the right items, quantities, configuration, price, terms, address, documents, and date into operations. Catch holds, duplicates, and missing information before downstream work begins. Order-entry and operations teams agree the official order record and who may change it. Acceptance includes employees processing a representative change or cancellation and confirming that planning, production, and fulfillment receive the approved update.
Systems and partners to examine
ERP, OMS, CRM, ecommerce, dealer portals, EDI, CPQ, payment, tax, compliance, and document-management systems.
Determine how and when you can fulfill the commitment. Bring your demand plan, suppliers, inbound materials, labor, equipment, maintenance, inventory, production capacity, schedules, and competing customer priorities into the same decision. Sales, planners, and buyers agree who can revise a promise date or order priority. Teams rehearse a material shortage or capacity constraint, showing how the revised plan reaches affected work and how the customer is informed.
Systems and partners to examine
ERP, MRP, APS, MES, WMS, sourcing and procurement, supplier relationship management, supplier portals, S&OP and IBP planning, inbound logistics, spreadsheets, and forecasting systems.
Your team makes, assembles, configures, inspects, or stages what the customer ordered. Keep work orders, routings, materials, WIP, quality, maintenance, rework, and traceability connected to the status your other teams need. Production, quality, and warehouse owners agree what evidence permits work to advance and what keeps it on hold. Staff practice recording progress, revisions, and release decisions; qualified specialists retain responsibility for equipment and factory controls.
Systems and partners to examine
ERP, MES, QMS, PLM, PIM, CMMS and enterprise asset management, work-order platforms, traceability, warehouse systems, document control, shop-floor applications, and approved equipment or industrial IoT data sources.
Know which inventory, lot, serial number, asset, or finished work will fulfill your order. This stage follows receiving and quality release through allocation, owned or partner warehousing, picking, packing, labeling, staging, and final checks. Warehouse and allocation owners agree reservation, release, and substitution rules. Employees test the changed picking and stock-update steps, including a shortage or quality hold, before inventory is treated as dependable for a customer or dealer.
Systems and partners to examine
WMS, ERP, OMS, barcode and RFID systems, inventory platforms, yard and dock tools, shipping software, quality systems, ecommerce, and warehouse automation.
Carry your prepared order through distribution, shipping, delivery, and acceptance. Coordinate carriers or 3PLs, freight, documents, customer updates, tracking, proof of delivery, installation, and the signals that trigger invoicing or further service. Shipping, customer service, carriers, and 3PL partners agree who supplies each delivery update and who acts when it is missing. Teams practice resolving a delayed shipment or absent delivery confirmation, with an owned route for communicating changes.
Your promise may continue through warranty, returns, repairs, replacements, field service, claims, credits, or spare parts. Give your service team the original customer, product, order, shipment, and invoice context it needs to resolve the issue. Service, quality, and finance owners agree how a return or warranty decision affects inventory, credits, and future work. Employees practice a representative exception so the customer receives a clear answer and the relevant records stay connected.
Systems and partners to examine
CRM, ERP, field-service management, RMA, warranty, QMS, help desk, asset management, inventory, finance, and customer portals.
Use what happened on this order to improve the next one. Review whether you delivered what you promised, what it cost, where exceptions appeared, what your customer experienced, and which change will help most. Leaders and process owners compare operating evidence with the agreed measures and check whether people are using the changes. Findings become assigned improvements, updated training, or Roadmap decisions, with continued ownership after go-live.
Systems and partners to examine
ERP, CRM, MES, WMS, QMS, service systems, master data, data platforms, BI, financial reporting, customer-feedback tools, and Launchpad.
Account for every tool and handoff that affects the promise.
Your actual systems determine the scope. Order-to-Delivery analysis identifies the records, decisions, and partner boundaries each part of the operation depends on.
Promise & commercial
Customer and commercial work
CRM, customer and dealer portals, ecommerce, EDI, customer service, and channel platforms that bring demand into the business.
Product information, configuration and quoting (CPQ), pricing, contracts, credit, tax, payments, and order management that turn a request into a valid commitment.
Planning & supply
Demand, sourcing, and capacity
ERP, demand and sales planning, material and capacity planning (MRP and APS), sourcing, procurement, supplier portals, and inbound logistics.
Production & quality
Plant, engineering, and quality
Product lifecycle management (PLM), manufacturing execution (MES), quality management (QMS), maintenance and asset systems (CMMS and EAM), and traceability.
Shop-floor applications, equipment and industrial IoT data, and outside production partners where their records affect supply, capacity, quality, or the promise date.
Distribution & delivery
Inventory, fulfillment, and movement
Inventory and order management, warehouse systems (WMS), scanning, automation, yard and dock tools, shipping, and labeling.
Transportation systems (TMS), third-party logistics (3PL) partners, carrier platforms, tracking, proof of delivery, and customer notifications.
Service & finance
Closure and learning
Field service, customer support, warranty, returns and RMA, repair, spare parts, and installed-asset records.
Billing, credits, claims, cost and margin reporting, customer feedback, analytics, and improvement records that inform the next cycle.
Capabilities selected for the work ERP Cloud Data AIThe Roadmap determines what is needed.
Eight evaluation lenses
Examine the work from every angle.
The lifecycle shows where work moves. The lenses show how responsibilities, working practices, records, systems, and controls must fit together, and what people need to learn when they change.
01
People and Ownership
Who leads and supports the change? Who owns the process, information, and exception decision? What must employees learn and practice, and what evidence shows they can use the changed process across departments, locations, providers, and systems?
02
Workflow and Exceptions
What starts the work? What is the intended path? Where does it wait? What happens when the order changes, inventory is unavailable, quality fails, delivery is late, or the customer needs something outside the standard process?
03
Systems and Records
Which of your applications participate? Which system owns each customer, product, price, order, inventory, production, shipment, invoice, or service record? We help you name an owner for each record and event.
04
Data and Definitions
Do departments and systems agree on the meaning of customer, available inventory, promised date, order status, margin, shipment, delivery, service completion, and other critical terms?
05
Integrations and Events
How does information move through APIs, EDI, files, queues, batch jobs, middleware, or manual entry? How are failures, retries, duplicates, and delayed updates detected and resolved?
06
Experience and Self-Service
What can customers, dealers, suppliers, employees, warehouse teams, service teams, and leaders safely see or do? Which records and permissions must be trusted before self-service is exposed?
07
Controls, Risk, and Resilience
Which approvals, permissions, audit records, security controls, supplier plans, recovery processes, and decision rights protect your operation?
08
Measurement and Improvement
Which measures prove demand, supply, production, delivery, service, and financial performance? Where is cost leakage occurring? What evidence demonstrates adoption and business value? How does feedback enter the next improvement cycle?
Questions at every intersection
Ask what is needed to make the next decision reliable.
What starts the work?
Who owns the decision and the outcome?
Which record can be trusted?
Where does work cross a system, department, location, vendor, or company boundary?
Which exceptions occur most often?
What do your customers or employees see?
Which control proves the work was completed correctly?
What should be simplified or standardized before it is automated?
What must people learn and practice before the change is accepted?
Where can AI assist or act safely?
How will improvement be measured?
Five operating truths
Give AI records it can trust.
Product, price, inventory, fulfillment, and financial records must agree across the order-to-delivery flow. Dependable updates, clear ownership, appropriate access, and exception handling let AI use the right evidence and people complete self-service tasks reliably.
01
Product truth
Your descriptions, specifications, compliance data, configurations, and variants come from governed sources.
02
Price truth
Your contracts, approvals, discounts, freight, tax, and margin rules agree across channels.
03
Inventory truth
Your promise dates, allocations, substitutions, and backorders reflect what is actually available.
04
Fulfillment truth
Your teams can see warehouse, carrier, service, return, and delivery status where they make decisions.
05
Money truth
Your tax, freight, terms, credit, invoice, payment, service cost, and margin records reconcile.
Where the operating model breaks down
Three common problems. A more reliable way forward.
Symptoms can look unrelated across departments. Order-to-Delivery analysis helps reveal their shared cause before you commit to a solution.
01Promise and execution
Unreliable customer commitments.
Your team makes commitments faster than the operation can support them.
Your sales team promises dates your inventory or production cannot support
Your inventory appears available in a report but cannot be allocated
Your customers call for status your team could share directly
02Systems and information
Conflicting records and handoffs.
Teams and systems act on different definitions of the same order.
Your ERP, plant, warehouse, commerce, and carrier systems report different statuses
Your product, price, inventory, fulfillment, and financial records disagree
Your dashboards disagree because teams define the same metric differently
03Improvement and change
Technology that scales unresolved work.
New technology amplifies the gap instead of closing it.
Your ERP project expands because process owners and dependencies were unclear
Your automation speeds up a broken workflow
Your AI pilot lacks the operating context needed for reliable answers
Roadmap Solutions
Plan the changes that make the whole operation ready.
The gaps found across your operating stages determine which Roadmap Solutions may be useful. Existing systems may be retained, improved, or connected; a product or custom development may be appropriate when the evidence supports it. Each choice must fit the process, the information it depends on, and the people who will use it.
01
ERP & Business Applications
Use your ERP and connected applications to keep transactions, records, financial controls, and workflows dependable. We define what each system and record must support before changing it.
02
Cloud & Infrastructure
Give your applications secure environments, resilience, integration, and recovery practices that fit the work behind your customer promise.
03
Data Engineering & Analytics
Bring your definitions, data quality, access, reporting, and operating history together so your teams can act on the same facts.
04
AI & Automation
Use AI or automation for forecasting, documents, exceptions, scheduling, and bounded action when your data, permissions, owners, and controls are ready.
People Adoption Controls MeasurementAcross every lane, people make the change real.
How the framework works within Launchpad
Turn an operating finding into Roadmap work.
The framework helps us locate the gap and understand its effect across the operation. Launchpad connects that evidence to priorities, dependencies, responsibilities, and acceptance requirements. This example illustrates how a finding informs the plan.
01Examine a handoff
Follow what actually happens.
An illustrative dealer portal needs more than a new screen. To show account pricing and a dependable delivery expectation, it needs approved commercial terms, available inventory, production capacity, and relevant freight information. We trace which systems own those records, who maintains them, what the dealer may see, and who responds when an order needs review.
We record the findings in Launchpad and define the process, information, and system changes they call for. The Roadmap identifies dependencies, assigns responsibilities, and plans training and tests across sales, planning, production, warehouse, and delivery. The dealer experience is accepted only when the underlying records, permissions, and exception process support it. A planner could evaluate an AI-assisted delivery-risk summary from those records, with sources and review before commitments change.
Metrotechs leads the transformation using Launchpad. Explore Launchpad for assessment, complete Roadmap development, and governance through implementation, training, adoption, and acceptance.
When to use it
Start when the customer promise is at risk.
Understand the operating constraint before you fund, configure, integrate, or automate a solution.
01
Commitments outpace operations
Promise dates are not consistently supported by inventory, production, suppliers, or delivery.
02
Teams work from different truths
ERP, plant, warehouse, commercial, service, or reporting records disagree at important handoffs.
03
A technology decision needs business scope
An ERP, portal, data, AI, or workflow idea needs a shared operating problem and measurable outcome.
04
Leadership needs a responsible sequence
Initiatives compete while ownership, dependencies, measures, and the order of change remain unclear.
Who it is for
Built for mid-market manufacturers.
Order-to-Door™ analysis is useful when your customer promise depends on production and on owned or partner distribution, fulfillment, delivery, and service.
01
Product and production complexity
Configured or engineered products, BOMs, routings, quality requirements, lots, serials, or regulated records.
02
Mixed operating models
Make-to-stock, make-to-order, engineer-to-order, project, service, and other operating models.
03
Multiple channels and locations
Direct customers, dealers, distributors, OEM partners, representatives, or digital channels across multiple sites.
04
Service and aftermarket obligations
Installation, warranty, repairs, replacement parts, returns, or field support continue the promise.
Frequently asked questions
Understand the framework and its scope.
See how the framework follows manufacturing work, includes partner handoffs, and identifies the foundations AI requires. Launchpad explains how we turn those findings into a managed transformation engagement.
What is Order-to-Door™?
Order-to-Door™ is the framework we use to map the manufacturer’s complete Order-to-Delivery flow. We examine people, processes, partners, information, systems, and handoffs from order placement through delivery, including the demand and service work around it. The findings shape a complete Digital Transformation Roadmap that prepares the connected operation for AI.
How does Order-to-Door™ relate to Launchpad?
Metrotechs uses the Order-to-Door™ framework within Launchpad to examine the complete operation. The framework guides what we investigate; Launchpad connects the evidence, findings, complete Roadmap, assigned work, and decisions throughout the engagement.
Where does distribution fit?
We focus on manufacturers. Their orders may pass through owned warehouses, distributors, dealers, 3PLs, and carriers before delivery. Order-to-Delivery analysis follows those handoffs because they shape the customer experience.
Which systems does Order-to-Delivery analysis cover?
We examine the systems and partner handoffs that affect your customer outcome. Your map may include ERP, CRM, CPQ, PIM, PLM, MES, QMS, WMS, OMS, TMS, 3PL and carrier systems, ecommerce, EDI, finance, data platforms, service, customer portals, and supplier tools. Your actual environment determines the scope.
Does this require replacing our ERP?
No. We start with your operating problem and the records, workflows, and owners involved. The right response may be process improvement, configuration, integration, data repair, modernization, or replacement; your existing ERP may remain the foundation.
Does this include factory controls or robotics?
No. We work with the business systems, records, and decisions that connect production to the customer promise. Qualified specialists remain responsible for controls, robotics, and production equipment.
How does AI fit into Order-to-Delivery?
AI can help planners investigate delivery risks, extract purchase-order details for review, summarize supplier changes, support inventory planning, and find answers in approved operating records. We use the framework to identify the task, connect the evidence it needs, and agree human review and evaluation. A focused application can progress while wider improvements are phased through the complete Roadmap. Launchpad supports this consulting work; it does not imply the platform runs those operating applications for you.
