Sage 300 and ServiceNow integration

What moves between them

Data flows from Sage 300 into ServiceNow. Vendors from Sage 300's APVendors endpoint load into ServiceNow's proc_vendor table, enabling spend analysis and supplier lifecycle workflows in ServiceNow. Invoice batches from APInvoiceBatches map to ServiceNow's sn_apo_invoice staging table for accounts payable automation and reconciliation. GL accounts from GLAccounts sync into itfm_gl_accounts for cost allocation and expense coding. The sync cadence is controlled by your poll schedule, typically daily or on-demand after month-end closes or invoice processing runs in Sage 300. All records carry a source identifier so ServiceNow can recognize updates and avoid duplicates.

How ml-connector handles it

ml-connector accepts your Sage 300 IIS server URL and Basic Auth credentials (uppercase username and password), stores them encrypted, and polls the APVendors, APInvoiceBatches, and GLAccounts endpoints on your schedule using OData date filters to fetch only new and changed records. Each API call includes the Authorization header with base64-encoded credentials. For ServiceNow, ml-connector uses OAuth 2.0 Client Credentials to obtain a bearer token, refreshing it when a call returns 401 Unauthorized. Sage 300 records are mapped to ServiceNow's proc_vendor, sn_apo_invoice, and itfm_gl_accounts tables; vendor names and GL account codes match on both sides to ensure spend allocates to the correct cost centers and accounts in ServiceNow. Because both systems are pull-only with no webhooks, ml-connector batches records and retries failed calls with exponential backoff. Large volumes of Sage 300 API calls (1500+) can trigger IIS AppPool timeouts, so ml-connector monitors call counts and spreads high-volume syncs across multiple poll cycles.

A real-world example

A mid-sized manufacturing company with plants in two locations runs Sage 300 for accounts payable and general ledger. They use ServiceNow for IT service management and have recently licensed the Source-to-Pay module to manage spending and supplier relationships. Before the integration, the procurement team exported vendor lists from Sage 300 and manually created records in ServiceNow's vendor table, and the accounts payable team manually coded invoices in ServiceNow by referencing Sage 300 GL account codes. With Sage 300 and ServiceNow connected, vendors and GL accounts sync daily into ServiceNow, procurement staff have a current vendor list for sourcing and contract management, and AP staff pick from valid GL accounts and cost centers that already exist in ServiceNow. Month-end reconciliation between the two systems no longer requires manual audit.

What you can do

• •Sync vendors from Sage 300 APVendors into ServiceNow procurement tables for supplier lifecycle management and spend analysis.
• •Pull invoice batches from Sage 300 APInvoiceBatches and load them into ServiceNow accounts payable staging for automated three-way matching.
• •Map Sage 300 GL accounts to ServiceNow cost centers and expense codes so procurement and finance use the same chart of accounts.
• •Handle Sage 300 HTTP Basic Auth with uppercase credentials and ServiceNow OAuth 2.0 token refresh on both polling-only endpoints.
• •Poll on a controlled schedule with OData date filters, batch retries on high-volume calls, and full audit trail on every vendor and invoice record.

Questions

Can the integration push data from ServiceNow back into Sage 300?

No. Sage 300 is the authoritative source for vendor and account master data. Data flows one direction: from Sage 300 into ServiceNow. ServiceNow records changes in procurement and spending, but those do not feed back into Sage 300. This keeps your GL and AP records of truth in Sage 300 and your procurement analysis in ServiceNow.

How does ml-connector handle Sage 300's uppercase credential requirement?

ml-connector stores your Sage 300 username and password encrypted and automatically converts them to uppercase before base64-encoding and sending them in the Authorization header on every request. You enter credentials in your preferred case, and ml-connector normalizes them to match Sage 300's requirement.

What happens if the Sage 300 API call volume exceeds IIS limits?

Large sync runs (1500+ calls) can trigger IIS AppPool timeouts. ml-connector detects high-volume cycles and spreads them across multiple poll runs with built-in delays to stay within IIS constraints. If a call times out, ml-connector retries with exponential backoff and logs the event in the audit trail.