Infor CloudSuite and Google Sheets integration

What moves between them

The main flow is from Infor CloudSuite into Google Sheets. After initial configuration, ml-connector polls CloudSuite for AP invoices, purchase orders, and suppliers on a schedule you define (daily, hourly, or after each procurement event). Records are written into your Sheets tabs using the column headers you set up. Suppliers and GL accounts can also be synced to build a reference lookup in Sheets. The sync is read-mostly; CloudSuite data flows into Sheets, and Sheets does not write back to CloudSuite.

How ml-connector handles it

ml-connector stores your CloudSuite OAuth credentials and extracts the customer-specific base URL and tenant ID from your .ionapi file. On each poll cycle, it requests changed invoices, POs, and suppliers from the ION API Gateway, transforms each record to match your Sheets column schema, and appends or updates rows in the target sheet using the Sheets API. If a CloudSuite token approaches expiry (tokens last 1-24 hours depending on your tenant config), ml-connector refreshes it proactively before the next API call. If a Sheets write fails (e.g. quota exceeded), the job is retried with exponential backoff, and the attempt is logged in the audit trail so you can replay it. CloudSuite's per-minute rate limit is respected; if a 429 response is returned, ml-connector backs off and retries. Named ranges in Sheets can simplify column mapping if your schema changes.

A real-world example

A mid-sized distribution company uses Infor CloudSuite M3 for procurement and inventory, and uses Google Sheets to maintain a live AP dashboard for the finance team. Before the integration, the AP coordinator exported invoices from CloudSuite every morning and manually copied them into Sheets, which lagged by a day and was error-prone. With CloudSuite and Sheets connected, invoices land in Sheets automatically every two hours, the dashboard refreshes in real time, and the team can drill into aging by vendor without leaving Sheets. Month-end AP reconciliation now takes hours instead of a day.

What you can do

• •Poll Infor CloudSuite for AP invoices, purchase orders, and supplier records on a configurable schedule.
• •Write CloudSuite data into Google Sheets using custom column headers and named ranges that you define.
• •Authenticate CloudSuite via OAuth 2.0 with proactive token refresh before expiry.
• •Map CloudSuite entities to Sheets columns automatically, with support for multiple CloudSuite product lines (M3, SyteLine, LN).
• •Maintain an audit trail of every sync, with job replay on failure and respect for CloudSuite rate limits.

Questions

Do I need to set up webhooks in ION Desk for this integration to work?

No. ml-connector polls Infor CloudSuite via the REST API on a schedule you define (daily, hourly, or custom). ION Desk document flows are optional and require administrator configuration in CloudSuite; polling works out of the box without them.

How does ml-connector handle CloudSuite's per-customer base URL and OAuth configuration?

You provide your .ionapi credentials file, which contains your tenant ID, base URL, and OAuth endpoints. ml-connector extracts these values and uses them to authenticate and route all API calls to your CloudSuite instance. Since every customer has a different base URL and tenant ID, this per-customer configuration is stored encrypted in ml-connector.

What happens if a Sheets write fails or a sync stalls?

ml-connector logs the failure in the audit trail with the full error details. If a write fails due to quota or a transient error, the job is automatically retried with exponential backoff. You can view the audit log in ml-connector and manually replay a failed sync if needed without losing data.