What is E2 Shoptech to Epicor Migration?

Definition

E2 Shoptech to Epicor Migration is the process of transferring manufacturing, job management, inventory, purchasing, and financial data from E2 Shoptech into an Epicor ERP environment. Manufacturers undertake this migration when they want to connect job shop operations with broader production planning, supply chain management, and financial reporting capabilities. The objective is to preserve essential operational records while aligning data with the destination system's configuration, workflows, and accounting structures.

The migration typically includes data assessment, cleansing, field mapping, test imports, reconciliation, and production cutover. Its scope depends on the current E2 Shoptech configuration, the selected Epicor product, the modules being implemented, and the historical information the business needs to retain.

Why Do Manufacturers Migrate from E2 Shoptech to Epicor?

E2 Shoptech supports job shop manufacturing activities such as estimating, scheduling, job tracking, and costing. As manufacturers expand, they may need closer coordination among production, inventory, purchasing, customer orders, and finance. An appropriately configured Epicor environment can connect these functions and provide consistent information for operational decisions and financial reporting.

For example, a manufacturer may want material issues, labor reporting, and completed production jobs to align with inventory valuation and general ledger reporting. Before migration, stakeholders should identify the specific reporting gaps, process requirements, and integration needs that the new system must address.

Review the target Epicor ERP environment and its relevant Epicor ERP Modules before deciding what to migrate. Module selection determines which data entities, production records, costing attributes, and financial transactions must be prepared for the destination system.

What Data Should Be Migrated?

Manufacturing data contains relationships among jobs, parts, routing operations, labor, materials, purchase orders, and accounting records. The migration team should document those relationships and identify which datasets are required for ongoing operations, financial opening balances, historical analysis, or audit support.

  • Customer and supplier masters: Customer identifiers, supplier details, payment terms, and relevant contact information.
  • Part and inventory records: Part numbers, descriptions, units of measure, warehouse locations, and costing attributes.
  • Job and routing data: Active jobs, operation sequences, work centers, job statuses, and associated production requirements.
  • Costing information: Material, labor, subcontracting, and overhead costs associated with manufacturing jobs.
  • Financial records: Chart of accounts, opening balances, outstanding receivables, payables, and agreed financial dimensions.
  • Open transactions and history: Active purchase orders, open jobs, unfinished production records, and selected historical transactions.

Each dataset needs a defined source, owner, destination field, and validation rule. Closed-job history that is not required for live operations may be retained in a searchable archive, depending on reporting and audit requirements.

How Does the E2 Shoptech to Epicor Migration Process Work?

The process begins with discovery and data profiling. Teams review E2 Shoptech records, identify duplicate or incomplete entries, standardize identifiers, and document differences between the source and target data structures. They then map fields to the appropriate Epicor entities and prepare files or supported import interfaces.

A test migration follows. The team checks required fields, record relationships, job structures, inventory quantities, and financial mappings. Production and finance users validate representative workflows, including material issue, labor reporting, job completion, purchasing, and accounting postings. After the test results are approved, the team schedules the final extraction, import, reconciliation, and go-live activities.

Integration design is equally important. ERP Integration Layer: How It Powers Finance Automation explains how connected applications exchange information with an ERP. When moving to epicor, manufacturers should determine which application owns each record and how production, inventory, and financial updates will flow after cutover.

How Should Finance Teams Validate Migrated Data?

Finance validation should confirm that operational records and accounting balances remain consistent with approved source data. Compare inventory quantities and values, open customer invoices, supplier obligations, work-in-progress balances, and general ledger totals within the agreed migration scope. Review transaction-level details when summary balances alone cannot establish the required reconciliation.

For example, assume an active manufacturing job contains $12,500 in material costs, $4,000 in labor costs, and $1,500 in overhead costs. Its expected accumulated cost is $18,000. After migration, the corresponding job cost records should reconcile to $18,000, subject to documented conversion adjustments and the target system's costing rules.

Epicor Integration Finance considerations include checking how production and purchasing transactions map to general ledger accounts and reporting dimensions. Finance should document differences, confirm approved adjustments, and sign off on opening balances before relying on migrated figures for financial reporting.

How Do Security and Finance Automation Fit into Migration?

Migration planning should establish access permissions, data ownership, approval responsibilities, and audit requirements. ERP Security Best Practices for Finance Teams (2026) provides context for evaluating ERP access and controls when connecting applications. ERP Modernization vs Finance Automation: Key Differences also helps distinguish improvements to the core ERP system from automation of the finance workflows operating around it.

The Hyperbots Platform supports company-specific ERP integrations, workflows, roles, and general ledger structures through configurable capabilities. Its Process Specific Capabilities support finance processes with domain-relevant AI, while Ready to Deploy Capabilities provide pre-trained agents and ERP connectors for applicable finance tasks.

Self Learning Capabilities use human feedback to refine workflows and general ledger coding. Human in the Loop controls support exception handling and approval decisions that require employee review. Manufacturers evaluating these capabilities should confirm compatibility with the target Epicor environment, appropriate transaction permissions, and alignment with established financial controls.

What Are the Best Practices for a Successful Migration?

Successful migration depends on clear ownership, representative testing, and agreed reconciliation criteria. Bring production, inventory, purchasing, finance, and IT stakeholders together to approve field mappings and define responsibilities for each dataset.

  • Document the migration scope, target configuration, and cutover schedule.
  • Standardize part numbers, supplier identifiers, units of measure, and job references.
  • Test active jobs, inventory valuation, and job costing before production cutover.
  • Validate purchasing, production completion, labor reporting, and financial posting workflows.
  • Confirm reporting requirements, user access, training, and post-migration support.

These practices help preserve manufacturing continuity and establish reliable operational and financial information in the destination system.

Summary

E2 Shoptech to Epicor Migration transfers job shop manufacturing, inventory, costing, and financial records into an Epicor ERP environment. The process involves data assessment, field mapping, testing, reconciliation, security planning, and controlled cutover. By validating both production records and accounting balances, manufacturers can establish a consistent foundation for integrated operations, dependable financial reporting, and informed business decisions.