How Global Variables Work
A configurator collects selections and evaluates rules to build a valid product definition. Global variables provide shared values that rules can read or, where supported, update. When a customer changes an option, the configurator can reevaluate the applicable logic using the current variable values.
A typical implementation follows a sequence: define a variable, establish when its value is assigned, reference it in the relevant rule or expression, and test the resulting configuration. Administrators should confirm whether a variable is initialized at the start of a configuration, recalculated after a selection changes, or retained for a particular session.
For instance, a variable named for the selected motor class could help determine which mounting kit is available. A related rule may use the motor class alongside dimensions and operating requirements. Keeping the shared value consistent gives connected rules a common basis for evaluating the product.
Common Uses in Product Configuration
Global variables are useful when several parts of a configuration depend on the same business or engineering value. Common applications include:
- Shared product attributes: Store a selected model, product family, or operating category used by multiple rules.
- Calculated values: Make a supported calculated quantity available to dependent configuration logic.
- Option dependencies: Coordinate choices so that accessories or components align with the selected product specifications.
- Conditional pricing inputs: Provide a shared value used by supported pricing rules, such as a product tier or selected capacity.
- Validation checks: Help rules compare selections against defined engineering or business requirements.
Use a global variable when a value genuinely needs to be shared. A value used only once may be clearer as a local expression or direct condition, depending on the available configurator features.
Global Variables and Other Configuration Logic
Global variables work alongside expressions, conditional rules, lookup data, and product structures. A variable stores or exposes a value; an expression evaluates logic; and a conditional rule determines which action or option applies when a requirement is met. These elements work together to represent product-specific constraints and selection dependencies.
They may also support the product definition that ultimately drives a Bill of Materials (BOM), routing, or sales order configuration. For example, a shared capacity value could influence component selection, while a separate rule determines which compatible components are included. The final configuration should agree with the engineering specifications and manufacturing data.
Within an epicor environment, teams should validate how configurator values pass into connected ERP transactions. Epicor ERP provides the broader enterprise resource planning environment for coordinating operational information, while Epicor ERP Modules describes the functional areas that support business processes. Epicor Integration Finance is relevant when connected transaction data needs to flow into financial workflows and reporting.
Best Practices for Defining and Testing Variables
Well-maintained global variables need clear names, defined ownership, and predictable update behavior. Product engineers and configurator administrators should document the meaning of each variable and identify the rules that depend on it. This makes the configuration easier to review when product options or specifications change.
- Choose descriptive names that identify the value's purpose and expected data type.
- Define initialization and update behavior before referencing a variable in multiple rules.
- Test configurations with different option combinations, including changes to earlier selections.
- Confirm that calculated values and dependent rules produce the expected product result.
- Validate downstream effects on pricing, order details, component selection, and ERP data where applicable.
Testing should include cases where a variable changes after dependent rules have already been evaluated. This helps confirm that the configurator refreshes related results according to its supported evaluation behavior.
Connecting Configuration Data with Business Workflows
Product configuration is one part of a wider operational process. Finance teams may also need accurate order, customer, and transaction data as configured products move through quotation, order fulfillment, billing, and payment collection. For finance workflows connected to ERP systems, the Hyperbots Platform supports company-specific configuration of integrations, workflows, roles, and general ledger structures through a no-code framework.
Process Specific Capabilities apply AI automation to defined finance processes, while Ready to Deploy Capabilities provide pre-trained agents and pre-built ERP connectors for supported tasks. Self Learning Capabilities enable supported workflows to adapt using human actions and feedback, and Human in the Loop supports review and approval when human judgment is required.
For example, after an order is fulfilled and a customer payment arrives, finance automation may help match remittance information to open invoices and identify unapplied cash. The resources How Hyperbots AI Agents 10x Epicor Finance Operations and Closing Epicor Finance Gaps with Hyperbots AI Agents discuss ways AI agents can extend Epicor-connected finance workflows.
Summary
Epicor Configurator Global Variables provide shared values that can support multiple rules and expressions within a configurable product. By defining their purpose, controlling when values are updated, testing dependent logic, and validating downstream data, manufacturers can maintain consistent product configurations and support reliable operational and financial workflows.