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B2B and B2C customers increasingly demand more choices, but manufacturers must ensure those options do not disrupt the business.
Customers want tailored products. Regional markets have their own requirements. Regulations change. The result is familiar: more options on the front end, and more pressure on engineering, production, documentation, and service behind it.
Configure to Order, or CTO, is meant to control that pressure, according to a recent Industry 4.0 Club fireside chat with Henrik Hulgaard, VP of Product Management at Configit. At its best, it lets manufacturers offer meaningful variation without treating every order like a custom project.
CTO is often treated as a sales tool. A customer selects options, a quote is created, and the order moves forward. That matters, but itis only one part of the work.
Configuration starts earlier. Engineering defines which choices are technically possible. Marketing packages those choices. Sales needs rules it can use. Manufacturing needs combinations it can build. Service needs to know what was delivered and how it should be supported.
Problems start when those rules live in separate places. Engineering may manage product logic in PLM. Sales may rebuild a simplified version in spreadsheets or CPQ tools. Regulatory requirements may sit in documents. Manufacturing may discover too late that a sold configuration is difficult to build or cannot be built at all.
That is where flexibility becomes friction. A product can look easy to configure for the customer while creating rework, waste, schedule pressure, and disappointment after the order is placed.
One response to customer demand is to create more standard variants. Instead of offering a configurable product, a manufacturer creates hundreds or thousands of fixed versions.
That approach does not stay simple for long. Each variant may need its own part numbers, bills of material, documentation, packaging, and support path. Sales teams have more to explain. Customers have more to sort through. Operations carry the cost of combinations that may rarely be ordered.
Engineer to Order creates a different version of the same problem. It offers flexibility, but that flexibility often depends on project-specific engineering. Teams copy from past projects, modify what they need, and create custom work that is expensive, slow, and hard to reuse.
CTO sits between those models. The manufacturer defines the choices in advance, guides customers toward valid combinations, and builds from a controlled set of modules, options, and rules.
A Configuration Lifecycle Management, or CLM, approach extends CTO beyond the quote. It connects the logic for what can be sold, engineered, built, delivered, and serviced.
A shared configuration model can hold technical rules, commercial rules, regional requirements, and regulatory constraints in one controlled structure. That does not mean every system needs the same level of detail. A sales tool does not need full engineering logic, but it does need validated rules so the order it creates can move through the business without being reworked later.
This is especially important for global manufacturers. A product may look standard at a high level while packaging, labeling, safety requirements, electrical standards, or documentation vary by market. Without a shared model, those differences become hidden risks. With one, they can be managed as business rules.
In manufacturing, configuration accuracy is not optional. An error can delay an order, disrupt production, increase cost, or damage customer trust. In regulated industries, the risk can be higher.
That is why deterministic configuration matters. The same inputs need to produce the same valid result every time. A strong configuration engine can validate combinations before production, block invalid orders, identify conflicts, and show the impact of a product change before it is released.
This can also make change easier. When product logic is clear and modular, teams can update a module, test the impact across related configurations, and introduce new features with more confidence.
Generative AI can support configuration work, especially where product rules are scattered across spreadsheets, PDFs, Word documents, and internal notes. It can help extract meaning from those sources and turn unstructured information into something easier to review and organize.
It may also improve the user experience. Future configuration processes may feel less like clicking through screens and more like a guided conversation, with an assistant helping users find valid options.
AI should not be the final authority on product validity. Generative AI is probabilistic, which means it can sound confident and still be wrong. For manufacturers, that is not acceptable when the output affects a quote, a build, a compliance requirement, or a service obligation. AI can help interpret and accelerate the work. Validated configuration logic still needs to control the result.
For manufacturers moving from Engineer to Order, the first step is often modularization. Teams should look for repeated patterns across projects, identify subsystems that can become reusable building blocks, and define the features or parameters that describe meaningful variation.
Ownership matters just as much. Configuration models need governance, the same way product data and quality standards do. Teams need a shared language for features and options, a process for approving changes, and alignment across engineering, sales, manufacturing, and service.
That shift is technical and more. Engineers may need to design beyond one project. Sales teams may need clearer boundaries on what can be promised. Operations needs to be involved early enough that manufacturability is built into the rules instead of checked after the fact.
Configure to Order is a way to manage choice without letting product complexity spread across disconnected tools, teams, and decisions.
Supported by a Configuration Lifecycle Management approach, CTO gives manufacturers a controlled way to define what can be sold, built, delivered, and serviced. The work goes beyond building a configurator and involves deciding who owns the rules, how they are validated, and how changes move through the business.
Ready to learn more? Watch the full webinar, Configure to Order: A Business Strategy for the Future.
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