Unify Epicor & JD Edwards: Seamless ERP Integration for Operational Excellence
Break down data silos and automate critical workflows between Epicor and Oracle JD Edwards with our AI-powered, low-code iPaaS. Achieve real-time visibility and drive efficiency across your enterprise.
The Challenge of Disconnected ERP Systems
Running Epicor and Oracle JD Edwards in parallel without robust integration creates significant operational bottlenecks, data inconsistencies, and hinders strategic decision-making. These challenges lead to increased costs, reduced agility, and a fragmented view of your business.
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Manual data entry and reconciliation between Epicor and JD Edwards.
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Delayed or inconsistent inventory, customer, and financial data.
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Lack of real-time visibility into cross-functional processes.
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Complex, brittle point-to-point integrations that are hard to maintain.
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Compliance risks due to scattered and unaudited data trails.
Seamless Epicor & JD Edwards Integration with an Intelligent iPaaS
Our powerful iPaaS platform provides a comprehensive, AI-enhanced, and low-code solution for integrating Epicor and Oracle JD Edwards. It acts as the central nervous system for your enterprise data, orchestrating complex workflows, ensuring data consistency, and delivering real-time operational and financial insights.
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Pre-built, configurable connectors for Epicor (REST API) and JD Edwards (Orchestrator/BSSV).
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Visual, drag-and-drop workflow designer for rapid integration development.
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Robust data mapping and transformation engine with AI-assisted suggestions.
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Centralized monitoring and error handling dashboards.
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Secure, scalable cloud-native architecture.
Comprehensive Solution Details
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Pre-built, configurable connectors for Epicor (REST API) and JD Edwards (Orchestrator/BSSV).
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Visual, drag-and-drop workflow designer for rapid integration development.
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Robust data mapping and transformation engine with AI-assisted suggestions.
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Centralized monitoring and error handling dashboards.
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Secure, scalable cloud-native architecture.
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Support for event-driven, real-time, and batch synchronization.
Technical Integration Details: Connecting Epicor and JD Edwards
Our iPaaS provides a robust, API-first approach to integrate Epicor and Oracle JD Edwards. Leveraging native API capabilities from both systems, we orchestrate complex data flows with precision, security, and scalability.
Data Flow Steps
Secure Connection Setup: Establish authenticated connections to Epicor's REST APIs (Kinetic) and JD Edwards' Orchestrator/Business Services (BSSV).
Schema Discovery & Harmonization: Automatically discover data schemas from both ERPs. Utilize the iPaaS's visual mapper to harmonize disparate data models, defining canonical structures.
Workflow Design & Logic: Design integration flows using a drag-and-drop interface. Implement business logic, conditional routing, and transformation rules within the iPaaS.
Event Trigger Configuration: Configure triggers (e.g., Epicor BPMs, JD Edwards Orchestrator events, webhooks) for real-time data synchronization.
Testing & Validation: Thoroughly test integration flows in sandbox environments, validating data accuracy and business rule adherence.
Deployment & Monitoring: Deploy integrations to production, with continuous monitoring, error alerting, and detailed logging for operational visibility.
Data Touchpoints
"Data flows bi-directionally between Epicor and JD Edwards, mediated by the iPaaS. Events in one system (e.g., Epicor Sales Order created) trigger workflows in the iPaaS. The iPaaS then transforms and routes data to the other system (e.g., JD Edwards AR Invoice), ensuring data integrity and consistency. Master data (Customer, Part/Item) is synchronized bi-directionally, while transactional data (Orders, Invoices) follows specific process flows."
Simple, transparent pricing for Epicor + Oracle JD Edwards.
Start with a single integration pair and scale as your business grows—without surprise fees or transaction penalties.
How Middleware Integration Works
See Epicor + Oracle JD Edwards integration in action.
Explore a guided demo, start a sandbox integration, or speak directly with our solution architects about your specific use cases.
Integration Use Cases
Explore how the integration behaves in real business scenarios, with clearly defined steps, outcomes, and execution patterns.
Unified Order-to-Cash Process
Automate the entire order lifecycle from an eCommerce platform through Epicor Sales Order fulfillment, with financial posting and cash receipt management in JD Edwards. This ensures real-time order visibility and accurate revenue recognition.
Integration Steps:
- 0 New eCommerce Order triggers workflow in iPaaS.
- 1 Customer data synchronized/validated between Epicor and JD Edwards (if new).
- 2 Sales Order created in Epicor (SalesOrder) with line items (OrderDtl).
- 3 Inventory allocated in Epicor (Part) and updated to eCommerce.
- 4 Epicor Sales Order fulfillment status updates trigger AR Invoice creation in JD Edwards (F03B11) and General Ledger posting (F0911).
- 5 Payment gateway transactions automatically post as Cash Receipts in Epicor and then synchronize to JD Edwards AR (F03B11) and GL (F0911).
Business Outcome
Accelerated order processing, real-time revenue recognition, reduced manual reconciliation, improved cash flow.
Real-time, Event-driven
API Endpoints & Data Logic
Technical details for developers and architects.
⚡ Transformation Logic
- Lookup Tables: Map Epicor `TermsCode` to JD Edwards `PYIN` (Payment Terms) using a centralized lookup table.
- Unit of Measure Conversion: Convert Epicor `UOM` to JD Edwards `UOM1` based on predefined conversion factors.
- Date Formatting: Standardize date formats (e.g., Epicor `OrderDate` to JDE `GLDGJ` or `RSDGJ`).
- Concatenation/Splitting: Combine or split fields (e.g., Epicor customer address lines into JD Edwards address fields).
- Default Value Assignment: Assign default values to mandatory fields in the target system if not provided by the source.
- Conditional Logic: Route data based on specific conditions (e.g., if Epicor `OrderStatus` is 'Shipped', then create JDE AR Invoice).
🛡️ Error Handling
- API Rate Limit Exceeded: iPaaS implements exponential backoff and retries.
- Data Validation Failure: AI identifies and suggests corrections, or routes to dead-letter queue.
- Network Connectivity Loss: Automated retries once connection is restored.
- System Downtime: Flows are paused and queued, resuming upon system availability.
- Duplicate Record Creation: Idempotent design and AI-driven deduplication prevent this.
Simple, transparent pricing for Epicor + Oracle JD Edwards.
Start with a single integration pair and scale as your business grows—without surprise fees or transaction penalties.
See Epicor + Oracle JD Edwards integration in action.
Explore a guided demo, start a sandbox integration, or speak directly with our solution architects about your specific use cases.