CPQ Guide

Tag: no-code CPQ

  • No-Code vs Low-Code vs Custom CPQ for Manufacturing

    For most manufacturers, low-code CPQ provides the best balance between configuration depth, implementation speed and long-term control. No-code CPQ can work well when products have relatively stable options, straightforward rules and limited engineering automation. Custom CPQ is justified when the business has unusual calculation, configuration, CAD or production requirements that packaged platforms cannot support without excessive compromise.

    The important distinction is that manufacturing CPQ is more than a tool for creating sales quotes. A manufacturing CPQ system may need to validate product configurations, apply engineering constraints, calculate dimensions or capacity, generate a configurable bill of materials (BOM), create product-specific drawings, calculate costs and prices, and pass order-ready data to enterprise systems. The right delivery model depends on which of these capabilities are required and who must maintain them.

    This guide compares no-code CPQ, low-code CPQ and custom CPQ using manufacturing criteria rather than generic sales automation features.

    What are no-code, low-code and custom CPQ?

    CPQ means configure, price, quote. In manufacturing, CPQ software represents products and their valid combinations, applies rules and calculations, determines pricing and costs, and produces a quote or downstream order data. The product model may include options, dimensions, materials, accessories, capacity ranges, dependencies, exclusions, engineering formulas and manufacturing components.

    No-code CPQ uses visual administration tools rather than conventional programming. Product managers or business administrators typically create options, rules, pricing tables and quote templates through forms, spreadsheets, decision tables or graphical interfaces.

    Low-code CPQ combines visual configuration with extension points such as scripting, APIs, custom functions, data models, workflow tools or developer-managed components. Business users can maintain routine product data while technical specialists implement complex logic and integrations.

    Custom CPQ is built or extensively developed specifically for one manufacturer. It may use a general application framework, custom web software, an enterprise platform or a bespoke product configurator. The manufacturer controls the architecture and behavior but also owns more of the implementation, testing, security and maintenance burden.

    Approach Primary configuration method Best fit Main limitation
    No-code Visual rules, tables and administration screens Stable products with manageable rules and limited engineering automation May become restrictive when calculations, integrations or exceptions become complex
    Low-code Visual model plus scripts, APIs and extension components Manufacturers needing substantial configuration and integration flexibility Requires technical governance and specialist skills
    Custom Purpose-built application logic and data architecture Highly specialized products, workflows or engineering processes Higher cost, longer delivery and greater maintenance responsibility

    Why the choice matters in manufacturing

    A generic sales CPQ implementation may only need a catalog, discount rules, a quote template and an approval workflow. A manufacturing implementation often has a deeper chain of dependencies:

    • A customer selects a pump duty, fluid, temperature and materials.
    • The configuration engine checks whether the selected pump, impeller and motor are compatible.
    • An engineering calculation determines the required performance or dimensions.
    • The system selects valid components and creates a configurable BOM.
    • Costing and pricing logic calculate material, labor, purchased components, freight and margin.
    • CAD or design automation may generate a model, drawing or manufacturing document.
    • ERP, product lifecycle management (PLM), product data management (PDM) or manufacturing execution system (MES) receives approved information.

    No-code, low-code and custom approaches can all support parts of this chain, but they do not provide the same level of control. A buyer should evaluate the complete flow from product selection to production data instead of comparing only quote templates or user interface features.

    See the manufacturing CPQ guide for a broader explanation of CPQ architecture and use cases.

    No-code CPQ for manufacturing

    How no-code CPQ works

    No-code CPQ generally represents a product through configurable attributes, option groups, conditions, pricing rules and document templates. An administrator might create a rule stating that a stainless-steel pump body requires a compatible seal material, or that a particular motor cannot be selected below a specified flow range.

    Rules may be expressed as dependencies, exclusions, required selections, min/max values, compatibility tables or guided questions. Guided selling asks users questions and narrows the available choices. It is useful, but it is not identical to a full constraint-based configuration engine. Guided selling helps a user reach an appropriate choice; constraint logic validates relationships that may involve several components or engineering variables.

    Where no-code works well

    No-code is often appropriate for manufacturers with products such as standard machine packages, modular conveyor sections, electrical enclosures, standard HVAC units or catalog-based assemblies. It is particularly useful when:

    • the option structure is well understood;
    • product rules can be expressed in tables or simple conditions;
    • pricing is based on price lists, markups, quantities and discounts;
    • the BOM is a selection of predefined components;
    • engineering calculations are limited or performed outside CPQ;
    • sales, dealers or product managers need to maintain routine changes;
    • integration requirements are limited to standard CRM or ERP transactions.

    For example, a manufacturer of modular air-handling units might use no-code rules to restrict coil types by airflow range, require a compatible control package and calculate price from cabinet size and selected options. If the final unit is assembled from established components, a configurable BOM may be sufficient without custom CAD generation.

    Limitations of no-code CPQ

    No-code does not mean no complexity. A visual interface can hide complexity rather than remove it. Large numbers of interdependent rules may become difficult to understand, test and govern. Administrators may also create duplicate or contradictory logic when ownership is unclear.

    No-code platforms may be limited when a manufacturer needs:

    • iterative engineering calculations;
    • advanced constraint propagation across many variables;
    • custom algorithms for sizing, selection or optimization;
    • dynamic CAD geometry and product-specific drawings;
    • complex engineering-to-order (ETO) workflows;
    • unusual BOM transformations between engineering and manufacturing structures;
    • specialized integrations or event-driven data exchanges.

    These limitations vary by product. A platform marketed as no-code may still offer APIs or extensions, while another may restrict both logic and integration. Capability must be verified against a real product model and representative configuration scenarios.

    Low-code CPQ for manufacturing

    How low-code CPQ works

    Low-code CPQ provides a visual foundation for product data, rules, pricing, workflows and documents, while allowing developers or technical administrators to add custom behavior. Extensions may include scripts, reusable functions, custom objects, API calls, database services, web components or integration middleware.

    This model separates routine product maintenance from exceptional logic. A product manager may maintain motor options and standard prices. A CPQ developer may implement a pump-selection calculation, connect a CAD service or transform a configurable BOM into an ERP-specific structure.

    Why low-code is often suitable for complex products

    Manufacturers commonly need both business agility and engineering depth. Product teams need to change options, costs and rules without waiting for a software release. At the same time, the company may need specialist logic for dimensional constraints, performance calculations, component selection and downstream data generation.

    Low-code can support this division of responsibility. It can also provide a more controlled path for gradual expansion:

    1. Start with product options, configuration validation and quote generation.
    2. Add pricing, costing and approval rules.
    3. Generate configurable BOMs and map them to ERP items.
    4. Connect to PLM or PDM for released product data.
    5. Add engineering calculations, CAD automation or ETO workflows where justified.

    For example, a material-handling manufacturer may configure conveyor length, belt type, frame material, drive power, guarding and discharge arrangement. Visual rules can manage standard compatibility. A custom calculation can determine motor sizing or belt requirements. An integration service can retrieve current costs from ERP and send an approved BOM and order configuration back to production systems.

    Risks and governance requirements

    Low-code can become uncontrolled custom development if every exception is implemented as a script. It requires architectural standards, code review, version control, testing and clear ownership. The organization should document which logic belongs in the product model, which belongs in an engineering service, and which belongs in ERP, PLM or CAD.

    Low-code also does not guarantee manufacturing capability. Buyers must verify whether the platform supports the required BOM structures, CAD connections, calculations, APIs and workflows rather than assuming that an extension point can solve every problem economically.

    Custom CPQ for manufacturing

    When custom development is justified

    Custom CPQ may be appropriate when the manufacturer has a highly differentiated configuration process or when packaged platforms cannot represent the required product and production logic. Potential examples include specialized vehicles, complex electrical systems, engineered process equipment, products governed by proprietary calculations, or businesses with unusual dealer and factory workflows.

    Custom development can provide direct control over:

    • the product and configuration data model;
    • constraint-solving and calculation algorithms;
    • CAD and engineering service orchestration;
    • custom user experiences for sales, dealers or engineers;
    • EBOM and MBOM transformation;
    • integration patterns with ERP, PLM, PDM, MES and other systems;
    • security, deployment and performance architecture.

    An EBOM, or engineering bill of materials, describes the product from an engineering perspective. An MBOM, or manufacturing bill of materials, organizes components and operations for production. A custom CPQ application may be designed to create or transform both structures, but that requires explicit rules and ownership. It should not be assumed that a quote configurator automatically creates a production-ready MBOM.

    Costs and risks of custom CPQ

    The main risk is not only initial development cost. Custom software requires continuing investment in security, infrastructure, integrations, regression testing, product-model maintenance, user support and technical skills. The manufacturer must also maintain the knowledge needed to understand why a configuration rule exists and what downstream systems depend on it.

    Custom systems can reproduce poor product data practices at scale. If option definitions, part numbers, engineering formulas and revision rules are not governed, a bespoke interface will not create reliable manufacturing data. Custom CPQ should therefore follow a clearly defined product model and release process rather than becoming a collection of sales-specific exceptions.

    Comparison by manufacturing capability

    Evaluation area No-code Low-code Custom
    Basic option and dependency rules Strong for manageable models Strong Strong, but potentially unnecessary
    Complex constraints Depends on platform limits Usually more extensible Maximum control
    Guided selling Usually suitable Usually suitable Can be tailored fully
    Engineering calculations May be limited Can use custom functions or services Can implement specialized algorithms
    Configurable BOM generation Suitable for predefined structures if supported Can transform data for downstream systems Can be designed around factory requirements
    CAD automation Often limited or connector-dependent Can orchestrate CAD services where supported Maximum integration control
    ERP, PLM and MES integration Usually relies on standard connectors or APIs Supports more tailored integration Designed specifically for the enterprise architecture
    Business-user maintenance Usually highest Shared between business and technical teams Often depends on custom administration tools
    Implementation speed Usually fastest for defined scope Moderate Usually slowest
    Long-term technical ownership Lower internal code ownership, but vendor dependency may be higher Shared ownership Highest internal responsibility

    How to choose the right approach

    Assess product complexity, not just option count

    A product with 500 options is not necessarily more difficult than one with 30 options. The important questions are how those options interact, whether values are continuous or discrete, whether calculations are iterative, and whether the result must drive engineering and production.

    Document representative products and identify:

    • dimensions, materials, ratings and performance parameters;
    • required, optional and mutually exclusive features;
    • compatibility rules between assemblies;
    • engineering formulas and external calculation services;
    • part-number and revision logic;
    • configurable BOM, EBOM and MBOM requirements;
    • CAD models, drawings and document outputs;
    • cost, price, margin, currency and approval rules.

    Assess the manufacturing workflow

    Clarify whether the business sells configure-to-order (CTO), engineer-to-order (ETO), make-to-order (MTO) or assemble-to-order (ATO) products. In CTO, customers select from a defined product model and the system can usually produce a predictable configuration and BOM. ETO introduces customer-specific engineering work. MTO focuses on production triggered by an order, while ATO assembles predefined modules after demand is known.

    A no-code model may be adequate for standard CTO or ATO products. Low-code may be more appropriate when CTO products require calculations, integrations and controlled exceptions. Custom development may be warranted for ETO processes, but many ETO organizations should first determine which portions can be standardized before building specialized software.

    Read the guide to manufacturing CPQ workflows for a deeper comparison of CTO, ETO, MTO and ATO.

    Assess data and system boundaries

    CPQ should not become the uncontrolled master of every manufacturing record. A customer relationship management (CRM) system may own the opportunity. ERP may own inventory, orders, costs or production transactions. PLM may own released product structures and revisions. PDM may manage CAD files and engineering documents. A product information management (PIM) system may manage commercial product content. MES may manage shop-floor execution. CAD creates or updates design geometry.

    Define which system owns each data object and how CPQ exchanges it. The CPQ integrations guide covers these boundaries in more detail.

    Implementation practices for any CPQ approach

    Build a governed product model

    Separate product features from prices, components, engineering parameters and presentation content. Give each rule an owner, purpose, source and effective date. Avoid embedding undocumented knowledge in formulas or scripts.

    Start with a representative product family

    Do not select a simple catalog item if the long-term requirement is a highly engineered machine. Conversely, do not begin with the most exceptional ETO product if the organization has not established basic data ownership. Select a product family that exposes important rules, BOM needs and integration dependencies without making the first release unmanageable.

    Test configurations and downstream outputs

    Testing must include valid and invalid combinations, boundary values, changed revisions, discontinued components, price changes and incomplete data. It should also verify that the resulting quote, BOM, CAD output and ERP transaction remain consistent. A configuration that appears valid to sales but produces an incomplete manufacturing structure is not a successful result.

    Plan for change management

    Product rules change when components are discontinued, suppliers change, regulations evolve, prices move or engineering releases a new design. Define how changes are approved, tested, versioned and rolled back. Business administrators need training, while technical teams need documentation and monitoring.

    The CPQ implementation guide provides a framework for requirements, migration, testing, governance and maintenance.

    Questions to ask CPQ vendors and implementation teams

    • Can the system represent dimensions, ranges, formulas and cross-component constraints?
    • Which rules can business users maintain, and which require code?
    • Can it create a configurable BOM, and can it distinguish engineering and manufacturing structures?
    • How are part numbers, revisions, substitutions and effectivity dates managed?
    • What CAD, PLM, PDM and ERP integration methods are available?
    • Can calculations run synchronously during configuration, or must they use an external service?
    • How are failed integrations, incomplete data and rejected configurations handled?
    • Can the system support both standard CTO products and controlled ETO exceptions?
    • How are rules tested before release?
    • Can the organization export its product model and configuration data if the platform changes?
    • What audit history is available for rule, price and product-data changes?
    • What skills are required to maintain custom extensions after implementation?

    Use the manufacturing CPQ comparison and selection resources when preparing an evaluation or request for proposal. Software profiles are available in the manufacturing CPQ software directory.

    Best no-code CPQ software: what buyers should verify

    The phrase “best no-code CPQ software” can be misleading in manufacturing. The best platform is not necessarily the one with the simplest administration interface. It is the one that can represent the required product logic, produce reliable outputs and remain maintainable as products change.

    Before choosing a no-code product, test a real configuration with multiple assemblies, incompatible options, dimensional limits, price conditions and a representative BOM. Ask whether the platform can handle the next level of complexity without forcing a complete rebuild or undocumented workarounds. If engineering calculations, CAD generation or production-specific BOM transformation are central requirements, compare low-code and custom alternatives as well.

    Semantic map

    The following relationships summarize the main manufacturing entities and how they connect:

    • CPQ configures configurable products.
    • Product models represent options, attributes and product structures.
    • Configuration rules prevent invalid combinations.
    • Constraint-based configuration validates relationships between product variables.
    • Guided selling narrows customer choices.
    • Engineering calculations determine product-specific values.
    • A configured product generates a configurable BOM.
    • An EBOM represents an engineering product structure.
    • An MBOM represents a manufacturing product structure.
    • CAD automation generates product-specific drawings or models.
    • Pricing rules calculate commercial prices and margins.
    • Costing rules estimate material, labor and purchased-component costs.
    • CPQ exchanges customer and order data with CRM.
    • CPQ exchanges item, cost and order data with ERP.
    • PLM and PDM provide controlled product and design information.
    • MES receives manufacturing execution data.
    • Low-code extensions add custom calculations and integrations.
    • Custom CPQ provides maximum control over specialized workflows.

    Frequently asked questions

    1. Is no-code CPQ suitable for manufacturing?

    Yes, when products use manageable options, clear dependencies, standard components and relatively simple pricing or BOM logic. It may be insufficient for advanced engineering calculations, complex CAD automation or highly specialized ETO workflows.

    2. Is low-code CPQ better than no-code CPQ?

    Not automatically. Low-code is generally more flexible, but it requires stronger technical governance. No-code may be the better choice for a stable product family that business users can maintain without custom development.

    3. When should a manufacturer build custom CPQ?

    Custom CPQ is most defensible when specialized configuration, engineering, CAD, production or integration requirements cannot be supported economically by packaged software. The decision should include long-term maintenance and ownership costs.

    4. Can no-code CPQ generate a BOM?

    Some no-code CPQ systems can generate BOMs from predefined component rules. Buyers must verify whether the output is a sales BOM, configurable BOM, EBOM or MBOM and whether it contains the data required by ERP or production.

    5. Does CPQ replace ERP?

    No. CPQ typically manages configuration, pricing, quoting and related order data. ERP usually manages orders, inventory, purchasing, financial transactions and other operational records, although system boundaries differ by architecture.

    6. Does CPQ replace PLM or PDM?

    No. Product lifecycle management and product data management systems typically govern released product structures, revisions, CAD files and engineering documents. CPQ may consume approved data and return configuration results.

    7. Can low-code CPQ support CAD automation?

    It can if the platform provides suitable APIs, integration mechanisms or engineering-service extensions. The capability depends on the CPQ platform, CAD system and implementation architecture; it should not be assumed from the term low-code alone.

    8. Is guided selling the same as product configuration?

    No. Guided selling helps users select suitable products by asking questions. Product configuration validates the complete combination of features, parameters and components, often using rules or constraints.

    9. What is the difference between rules-based and constraint-based configuration?

    Rules-based configuration commonly applies explicit conditions such as “if option A is selected, require option B.” Constraint-based configuration evaluates relationships and allowable values across multiple variables, which can be more suitable for complex engineering products.

    10. Can no-code CPQ support engineer-to-order products?

    It may support the commercial intake and initial qualification of ETO products, but ETO often requires engineering review, custom calculations, CAD work and project-specific production data. Those requirements may need low-code extensions, specialist tools or custom development.

    11. What is the difference between CTO and ETO in CPQ?

    Configure-to-order uses a predefined product model and approved combinations. Engineer-to-order includes customer-specific engineering after or during the quote process, so CPQ must coordinate with engineering rather than fully determine every output.

    12. Which CPQ approach is easiest for product managers to maintain?

    No-code is usually easiest for routine maintenance because users work through visual administration tools. Low-code can also support business maintenance, but technical extensions need controlled ownership and release processes.

    13. Does custom CPQ always provide better performance?

    No. Performance depends on architecture, data volume, calculations, integrations and implementation quality. Custom software provides control over performance design but does not guarantee a faster result.

    14. How should manufacturers test a CPQ platform?

    Use representative products and test valid and invalid configurations, dimensional boundaries, price changes, revisions, substitutions, BOM output, CAD documents and ERP transactions. Testing only the user interface is insufficient.

    15. What data is needed before implementing CPQ?

    Typical inputs include product options, attributes, dependencies, constraints, part numbers, revisions, costs, prices, engineering formulas, BOM structures, document templates and integration ownership. Data quality often determines project success.

    16. Can a manufacturer start with no-code and move to low-code?

    Often yes, if the platform supports extensions and the initial product model is governed properly. The migration path should be confirmed before implementation, especially when future CAD, engineering and ERP requirements are known.

    17. What is the main risk of low-code CPQ?

    The main risk is uncontrolled customization. If every exception becomes a script or one-off integration, the model becomes difficult to test and maintain. Clear boundaries, code review and ownership are essential.

    18. What is the main risk of custom CPQ?

    The main risk is creating a long-term software product that the manufacturer must fund and maintain without sufficient internal expertise. Custom CPQ also takes longer to deliver and can duplicate capabilities already available in packaged platforms.