Define the Product and Configuration Requirements
Start with a representative product family rather than attempting to configure every product at once. Work with engineering, sales, production, and purchasing to document the options customers can select and the rules that govern those selections. Each requirement should have a clear expected result that can be tested.
For example, an industrial equipment manufacturer may let customers choose a motor size, voltage, housing material, and mounting style. Some combinations may require specific components or determine the product's price. Capture those dependencies before creating prompts or rules.
- Identify configurable attributes: List dimensions, materials, performance ratings, accessories, and other selectable properties.
- Define dependencies: Specify which options control the availability of other choices.
- Set defaults and required fields: Make the expected selections clear and consistent.
- Document outputs: Identify the product description, price, specification, or manufacturing data the process must produce.
Set Up the Configurator in Epicor
In the relevant Epicor environment, identify the supported configurator designer and the product records or methods used by the implementation. Available menus and capabilities can differ by Epicor product, version, licensing, and configuration, so use the documentation for the installed release.
Create or select the product structure that will be configured, then define the prompts users see and the rules that determine valid selections. Configure conditional questions so users only encounter options relevant to their earlier choices. Where supported, associate selections with the appropriate part, revision, bill of materials, operations, or other manufacturing data.
Keep the user experience focused on decisions that affect the final product. Use clear labels and measurement units, explain required inputs, and present meaningful validation messages. Test the configurator with representative users to confirm that the prompts match the language used by sales and engineering teams.
Build Rules, Calculations, and ERP Connections
Implement the business logic that connects customer choices to product outcomes. Rules may determine component eligibility, calculate dimensions, select materials, control accessory availability, or derive a price from approved pricing policies. Separate reusable logic from product-specific rules when the installed tools support it, and document assumptions behind calculations.
Next, determine how the completed configuration interacts with the wider Epicor ERP environment. Confirm how the resulting details reach quotations, sales orders, production planning, inventory, and purchasing processes. When connecting external systems, define which system owns each data field, how updates are exchanged, and how errors are reported.
For broader ERP planning, the ERP Security Best Practices for Finance Teams (2026) approach helps teams review permissions and integration controls, while an epicor implementation plan should clarify how custom functionality fits the existing ERP architecture. If the project also changes finance workflows, evaluate how agentic ai can coordinate supported finance tasks while preserving defined approvals and business rules.
Test the Configurator Before Deployment
Testing should prove that each valid combination produces the expected result and that incompatible choices are handled according to the approved requirements. Prepare test scenarios covering ordinary orders, boundary values, optional components, pricing conditions, and changes to shared rules.
- Verify required fields, default selections, and conditional prompts.
- Test compatible and incompatible product combinations.
- Check calculated values, selected components, and price outputs against approved examples.
- Confirm that configuration details flow correctly into downstream ERP records.
- Repeat regression tests after changes to shared logic or product definitions.
Record the expected result, actual result, test owner, and approval status for each scenario. For example, if 48 of 50 test cases pass initially, the initial pass rate is 96%. Review the two remaining cases, correct the relevant rules, and retest before release. Critical pricing and engineering requirements should receive explicit approval even when the overall pass rate is high.
Plan Deployment, Governance, and Ongoing Improvement
Before deployment, assign ownership for rule changes, establish approval steps, and maintain version history. Train sales and engineering users with realistic configuration scenarios, including how to handle validation messages and verify the generated product specification. Schedule periodic reviews when product designs, pricing policies, or manufacturing requirements change.
Also consider the business case for the implementation. The ERP Business Case: CFO Guide to Board Approval framework can help stakeholders estimate implementation effort, expected operational benefits, and measurable outcomes. If configured products drive purchasing activity, align the resulting specifications with requisitions, supplier selection, and purchase order controls; How to Issue a Purchase Order: Steps & Best Practices offers relevant process guidance.
Accurate configuration data can also support finance operations. For example, How Hyperbots AI Agents 10x Epicor Finance Operations discusses finance workflows such as matching customer payments and remittance information before receipts are posted. When evaluating invoice capture, validation, matching, and posting processes, Build a Compelling Business Case for AI-Driven AP Automation can help frame measurable automation outcomes.
For company-specific workflow and ERP integration needs, the Hyperbots Platform supports configurable workflows, roles, ERP connections, and general ledger structures through a no-code framework. Its Process Specific Capabilities support domain-focused finance automation, while Ready to Deploy Capabilities provide pre-trained agents and pre-built connectors for supported processes. Human in the Loop enables human review of exceptions and approvals, and Self Learning Capabilities allow supported co-pilots to learn from human feedback. These capabilities complement configurator development by addressing connected finance workflows rather than replacing Epicor product configuration rules.
For related financial controls, teams can apply Reconciliation Best Practices to compare records across systems, Accrual Best Practices to maintain period-end expense recognition, and Consolidation Best Practices to support consistent reporting across entities. The Build Out Allowance Finance concept may also be relevant when product or facility projects involve tenant-improvement allowances, while a disciplined Budget Build Process helps plan implementation resources and track spending against approved expectations.
Summary
To build a configurator in Epicor, define the product requirements, set up the supported configurator tools, implement rules and calculations, validate ERP data flow, and test representative scenarios before deployment. Maintain rule ownership, version control, and user training as products evolve. A structured implementation helps manufacturers produce consistent product specifications, support accurate order processing, and improve operational and financial visibility.