Acumatica and JAGGAER integration

What moves between them

The main flow runs from JAGGAER into Acumatica. ml-connector reads approved invoices and the purchase order data behind them from JAGGAER and posts them into Acumatica as AP bills, mapped to the matching Acumatica vendor, GL accounts, and PO references. The vendor master and chart of accounts flow the other direction, from Acumatica into JAGGAER, so procurement codes invoices against accounts and suppliers that already exist in the ERP. Once a bill is paid in Acumatica, payment status flows back to JAGGAER so the supplier sees the invoice marked paid. Cadence is scheduled polling on both sides, tied to your AP close rhythm.

How ml-connector handles it

ml-connector stores both credential sets encrypted. On the JAGGAER side it requests a client-credentials token from the J1p-integrations Keycloak realm and refreshes it before its roughly one-hour expiry. On the Acumatica side it requests an OAuth 2.0 token from the instance identity server, and it accepts the full tenant URL plus the exact endpoint version per customer, since an Acumatica endpoint version that does not match the running ERP release returns a 404. It wraps every Acumatica field value in the required value object so writes are not rejected with a 400. Because both J1P and Acumatica cloud are effectively pull-only, it polls JAGGAER for new approved invoices and polls Acumatica with a LastModifiedDateTime filter rather than waiting for a push, and where Acumatica Push Notifications are enabled it can take that header-authenticated POST as a trigger. Vendors and GL accounts are mapped first, so every bill line references an account and vendor that already exist in Acumatica. Neither side offers a native idempotency key, so ml-connector dedupes on the supplier invoice number and a BullMQ jobId before posting, which keeps a re-read invoice from being booked twice. Acumatica rate limits return HTTP 429 once the per-minute request count crosses its licensed threshold, so the connector backs off and retries. Every record carries a full audit trail and can be replayed if a downstream call fails.

A real-world example

A mid-sized manufacturer with about 600 staff runs Acumatica for finance and accounts payable and rolled out JAGGAER to control purchasing and supplier invoicing across several plants. Before the integration, the AP team exported approved invoices from JAGGAER and keyed them into Acumatica one at a time, which meant bills sat for days, account codes were sometimes mistyped, and suppliers phoned in asking whether an invoice had been paid. With Acumatica and JAGGAER connected, each approved invoice posts into Acumatica as an AP bill within the polling window, coded to the right vendor and accounts, and the paid status flows back to JAGGAER so suppliers can self-serve. The manual re-keying step is gone and the supplier payment inquiries drop off.

What you can do

• •Post approved JAGGAER invoices into Acumatica as AP bills against the matching vendors and GL accounts.
• •Sync the Acumatica vendor master and chart of accounts into JAGGAER so invoices are coded to real accounts.
• •Write payment status from Acumatica back to JAGGAER so suppliers see when an invoice is paid.
• •Bridge JAGGAER client-credentials auth and Acumatica OAuth 2.0 against each version-locked tenant URL.
• •Poll on a schedule with supplier-invoice-number and jobId dedup, retries, and a full audit trail on every record.

Questions

Which direction does data move between Acumatica and JAGGAER?

The main flow is JAGGAER into Acumatica. Approved invoices and purchase order data move from JAGGAER and post into Acumatica as AP bills, while the vendor master and chart of accounts move the other way so JAGGAER can code invoices to real accounts. Payment status then flows from Acumatica back to JAGGAER, because GL accounts and payment status are read-only on the JAGGAER side.

Does the integration rely on webhooks or polling?

It is built around polling. JAGGAER's J1P API treats event-driven push as a professional-services setup rather than a self-serve feature, and Acumatica cloud is most reliably read by polling each entity with a LastModifiedDateTime filter. Where Acumatica Push Notifications are configured, ml-connector can take that header-authenticated POST as a trigger, but the scheduled poll remains the catch-up path so no invoice is missed.

How does ml-connector handle Acumatica's version-locked endpoints and field wrapping?

It accepts the full Acumatica instance URL and the exact endpoint version per customer, since a version that does not match the running ERP release returns a 404. It also wraps every field value in the value object Acumatica's Contract-Based REST API requires, so writes are accepted rather than rejected with a 400. Both settings are stored in configuration rather than hardcoded.