Virtual Tabulation®: The Core Technology Behind Trusted Product Data

• Keep configuration data accurate, consistent, scalable, and governed as product complexity grows.

• Enable fast, error-free configuration experiences and deeper insight into what is offered, built, and delivered.

• Provide the deterministic foundation for AI-assisted and agentic product decisions that must be fast, accurate, and valid.

Download the VT™ whitepaper
Portrait of Webinar
Webinar
October 13, 2026
From Requirements to Maintenance: Enabling the Digital Thread for Configurable Products
A practical look on how to build a digital thread for configurable products.
Save my seat

Overview

Virtual Tabulation®: Purpose-Built for Complex Product Configuration

The VT™ Advantage

What is Virtual Tabulation®?

Virtual Tabulation® is the product configuration technology that powers Configit products and helps manufacturers manage complex product data at scale.

Instead of solving complex product configuration logic only at runtime, Virtual Tabulation® compiles all valid product configurations in advance.

This creates a compact, optimized representation of all valid product configurations. It is not a literal list of every possible product combination, but rather a highly efficient, symbolic foundation that can be used to validate configurations, identify conflicts, guide users, and support enterprise-wide configuration decisions.

The result is a trusted data foundation for complex product configuration.

How VT™ Works

The Technical Foundation of Virtual Tabulation®

Virtual Tabulation® transforms an enormous valid solution space into a compact symbolic representation that enables fast, reliable configuration validation.

Core Technology Benefits

Why Virtual Tabulation® Is Different

Most configuration technologies can manage rules, constraints, attributes, and options. The difference is how they perform at enterprise scale.

Virtual Tabulation® stands apart by giving manufacturers a product configuration data foundation that is:

Deterministic

because outcomes are based on a precomputed solution space of only valid product configurations

Fast

because valid product configurations are compiled in advance

Transparent

because teams can better understand, test, and debug product configuration logic

Scalable

because performance is not limited by runtime solving or the complexity of the product model

Reliable

because errors and inconsistencies can be identified before release

quote

Virtual Tabulation®
is a game changer.

Myla Romero, Director of Information Technology,
PLM and Configurator Services, Emerson
Source: Configuration Lifecycle Management Summit 2023

VT™ provides the speed, consistency, and control needed to reduce configuration risk.

It helps eliminate errors, increase efficiency, and provide greater governance of what is offered and what has been delivered.

Trusted by the World’s Leading Manufacturing Companies

Why It Matters

Why Manufacturers Need a Trusted Data Foundation

Virtual Tabulation® created a shared trusted foundation for valid product configuration data.

Core Enterprise Benefits

Business Outcomes Driven by Virtual Tabulation®

Is this something you want to achieve?

Enterprise Value

How VT™ Creates Value
Across Every Function

Built for Complexity

Built for the Complexity of Modern Manufacturing

Virtual Tabulation® is especially valuable for manufacturers managing:

• Highly customizable products
• Thousands of product options, features, and dependencies
• Complex engineering and commercial rules
• Regional, regulatory, or market-specific requirements
• Shared platforms, modules, and components
• Frequent product updates and engineering changes
• CPQ, PLM, ERP, manufacturing, and service integrations

Product configuration is not just a sales activity. It is an enterprise-wide data challenge.

Virtual Tabulation® transforms that complexity into a trusted data foundation for better decisions and better execution.

Cover of a whitepaper by Configit on Virtual Tabulation, Rules and Constraints from 2025.

Whitepaper

Virtual Tabulation®, Rules and Constraints
A guide to understanding product configuration technologies

By Role

Value Across the Enterprise

Virtual Tabulation® creates value across the enterprise by giving each function a shared foundation for trusted product configuration data.

From IT and engineering to product management and configuration teams, it helps improve alignment, governance, efficiency, and execution across the product lifecycle.

Want to see Virtual Tabulation® in a demo?

FAQs

How is Virtual Tabulation® different from traditional rules engines or solver-based configurators?

Traditional rules engines often execute rules step by step, while solver-based configurators evaluate constraints at runtime. Virtual Tabulation® takes a different approach by compiling the valid configuration space in advance, which helps deliver faster, more predictable, and more transparent configuration performance.

When should manufacturers consider Virtual Tabulation®?

Virtual Tabulation® is especially valuable when product configuration becomes highly complex. This includes products with thousands of options, highly interdependent constraints, nested logic, regional or regulatory requirements, shared modules, frequent updates, or performance-critical configuration processes.

How does Virtual Tabulation® help reduce configuration errors?

Because Virtual Tabulation® compiles configuration logic before release, inconsistencies, gaps, and errors can be detected earlier. This helps manufacturers validate product logic before it reaches downstream systems, reducing the risk of invalid configurations, rework, and costly operational issues.

Does Virtual Tabulation® only improve configurator performance?

No. Faster configuration is one benefit, but Virtual Tabulation® also supports governance, transparency, debugging, change impact analysis, and portfolio insight. It helps manufacturers understand what is offered, what has changed, and how product options and dependencies affect the business.

How does VT™ compare with other product configuration technology on the market?

See the comparison of imperative rule engines, declarative solver algorithms and Virtual Tabulation®.

Can Generative AI replace Virtual Tabulation® or Configuration Lifecyle Management (CLM)?

No. Generative AI can improve the experience around product configuration, but it cannot replace the deterministic decision authority required for valid product decisions. Virtual Tabulation® validates configurations against approved product logic and the compiled solution space, helping ensure AI-assisted recommendations are accurate, governed, and executable.

What are rules and constraints in product configuration?

Rules and constraints define which combinations of product options are valid. Rules can use imperative logic, where instructions are executed in a specific sequence, or declarative logic, where relationships between product options are defined without specifying an execution order. Constraints are a type of declarative rule: they specify conditions that a valid product configuration must satisfy. For example, a constraint could specify that selecting a particular engine requires a compatible transmission. Modern configuration engines predominantly use declarative logic because relationships and dependencies can be defined independently of the order in which a product is configured.

How do product configuration solvers work?

Product configuration solvers evaluate rules and constraints at runtime to find valid combinations of product options. When a user makes a selection, the solver evaluates the applicable constraints and removes incompatible values from the remaining options. This process continues as the configuration is built, with conflicts identified and resolved during the configuration process. Solvers are typically based on technologies such as Constraint Satisfaction Problem (CSP) algorithms or Boolean Satisfiability (SAT) solvers. Unlike solver-based approaches, Virtual Tabulation® precomputes the valid configuration space so that configuration at runtime can use fast lookups rather than repeatedly solving complex constraints.

What is attribute-based configuration?

Attribute-based configuration (ABC) is a product modeling approach where a product is defined using attributes and their possible values, with constraints determining which combinations are valid. For example, a laptop could have attributes such as processor, memory, storage, and color. Configit refers to these configurable attributes as Variables and the selectable options as Values. Attribute-based configuration is therefore not an alternative to rules or constraints. It is a declarative modeling approach in which constraints define the relationships between attributes and their values. Different configuration systems use different terminology for essentially the same concepts, for example, SAP AVC uses Characteristic and Characteristic Value, while PTC Windchill uses Option and Choice.

What makes a product configuration model complex?

A product configuration model becomes complex when it contains a high degree of interconnected, conditional, and combinatorial variability across its options, rules, and constraints. Complexity can result from hundreds or thousands of variables and values, highly interdependent constraints, nested or conditional logic, large numbers of valid product combinations, dependencies shared across multiple product lines, and frequent changes to product features, regulations, or compatibility rules. As complexity increases, configuration models become more difficult to solve, validate, test, debug, and maintain. This is particularly important when choosing configuration technology because complex models can place significant demands on runtime solver performance.

How do you configure products with billions or trillions of possible combinations?

You do not need to store or evaluate every product combination individually. Virtual Tabulation® compiles the complete solution space of valid configurations into a compact symbolic representation. It uses techniques including symbolic representation, Boolean algebra and Binary Decision Diagrams (BDDs), and constraint logic factoring. Individual combinations therefore do not need to be stored separately. At runtime, a product configurator can use the compiled VT™ package as a fast lookup to determine which options are compatible with the user's selections. This allows extremely large configuration spaces to remain responsive without repeatedly solving the complete configuration problem during user interaction. Example: a product model containing 1,800 rules and 8,000 feature families can result in 10⁵⁰ valid combinations while being compacted into a 3 MB VT™ file.