JD Edwards Orchestrator Integration

I am integrating our AI platform with a client’s JD Edwards EnterpriseOne environment and need an experienced Orchestrator specialist to close the loop. The goal is to design and deploy production-ready orchestrations that extract inventory data—stock levels, product details, and supplier information—then expose that data through a REST endpoint and, in the opposite direction, let our external API write back when required. The flow must refresh on a daily schedule.

You will have developer-level access to the JDE AIS Server and Orchestrator Studio as well as sandbox credentials for our existing API, which already delivers JSON payloads. Your task is to:

• Build and test orchestrations that query the correct JDE tables and return clean JSON for stock levels, product details, and supplier information.
• Set up a daily orchestration schedule and confirm error handling/logging is active.
• Create an inbound orchestration (or series, if cleaner) capable of receiving our API calls and updating JDE accordingly.
• Provide concise documentation: endpoint paths, sample payloads, security notes, and any table joins used.

Acceptance criteria
– All three data sets can be retrieved via a single authenticated REST call and match live records in JDE.
– The daily run completes within the agreed window and logs execution status.
– Round-trip tests show inbound updates reflecting in JDE with no data loss.

If you are comfortable with JD Edwards Orchestrator, AIS, and REST integration, let’s get this wired up quickly.