SYSPRO and Jira integration

What moves between them

The main flow runs from SYSPRO into Jira. ml-connector polls SYSPRO OData tables for new and updated purchase orders and supplier invoices and posts them into Jira as issues linked to projects and assigned to teams. Inventory receipts and goods movements are also tracked as worklogs or linked issues. The direction is one-way because Jira has no native financial or procurement entities; changes to purchase order status and invoice approval in Jira flow back to SYSPRO only if a callback is configured. Reference data such as suppliers and cost centers is aligned in the initial sync.

How ml-connector handles it

ml-connector stores both credential sets encrypted and obtains a SYSPRO session token on each polling interval by logging in via e.net Business Objects with the operator credentials provided. OData queries are filtered by PostDate or InvoiceDate to capture only new and changed records since the last poll. On the Jira side, ml-connector creates or updates issues with the purchase order or invoice details, maps SYSPRO suppliers to Jira project labels or custom fields, and attaches supporting documents. Because SYSPRO is pull-only and Jira webhooks expire after 30 days, ml-connector manages webhook refresh cycles automatically and tracks SYSPRO session token expiry to avoid authentication failures. Every record carries a full audit trail so that if a downstream Jira workflow step fails, the record can be replayed.

A real-world example

A mid-sized manufacturing distributor runs SYSPRO for procurement and inventory and Jira for operations and project tracking across multiple warehouses. Before the integration, the procurement team entered received purchase orders and supplier invoices into Jira by hand, and operations teams had no visibility into what inventory was on the way or what invoices were pending approval. Errors and delays cascaded because Jira issues were created days after SYSPRO receipts. With SYSPRO and Jira connected, each purchase order and invoice appears as a tracked issue in Jira within minutes of entry in SYSPRO, assigned to the right team, and linked to inventory movements. The procurement team can now see Jira issue status immediately, and operations teams no longer spend time hunting SYSPRO reports.

What you can do

• •Poll SYSPRO purchase orders and supplier invoices and post them as tracked issues in Jira on a schedule you control.
• •Map SYSPRO suppliers, cost centers, and warehouse locations to Jira projects and issue fields.
• •Authenticate SYSPRO with e.net session tokens and Jira with OAuth2, and manage token refresh automatically.
• •Track purchase order receipts and goods movements as Jira issue updates and linked worklogs.
• •Maintain a full audit trail of every procurement record synced so failed syncs can be replayed.

Questions

Which direction does data move between SYSPRO and Jira?

The main flow is SYSPRO into Jira. Purchase orders, supplier invoices, and inventory receipts move from SYSPRO into Jira as tracked issues. Changes to issue status in Jira can flow back to SYSPRO only if a callback is configured, because Jira has no native financial or procurement entities. ml-connector handles the one-way sync with audit trails.

How does the integration handle SYSPRO's lack of webhooks and custom server URLs?

SYSPRO has no outbound webhooks and requires a customer-supplied server URL and credentials, so ml-connector polls SYSPRO OData tables on a regular schedule using time-based filters on PostDate or InvoiceDate to capture new records. The polling interval is typically 5 to 15 minutes for procurement data.

What happens to Jira webhooks after they are registered?

Jira webhooks expire every 30 days from creation or last refresh and must be refreshed before expiry or they stop receiving events. ml-connector automatically manages the refresh cycle using PUT /rest/api/3/webhook/refresh before the 30-day window closes, so your integration stays active without manual intervention.