Infor CloudSuite and Stripe integration
Infor CloudSuite runs finance and operations across manufacturing, distribution, and supply chain. Stripe handles payments and billing online. Connecting the two lets you create customers and invoices in CloudSuite, push them to Stripe for collection and subscription management, and pull payment records back into CloudSuite to close AR and reconcile the general ledger. ml-connector bridges their different authentication models and manages the polling schedule so no data entry is duplicated.
What moves between them
The primary flow runs from Infor CloudSuite into Stripe. Customers defined in CloudSuite are created or updated as Stripe customers, and invoices from CloudSuite are pushed to Stripe as billable line items. Payment events generated by Stripe (successful charge, subscription payment, refund) are polled from Stripe's API and written back into CloudSuite as incoming payments against AR invoices, allocated to the correct GL accounts. Data flows in both directions: upstream (customers and invoices CloudSuite to Stripe), downstream (payments Stripe back to CloudSuite).
How ml-connector handles it
ml-connector stores CloudSuite and Stripe credentials encrypted: the .ionapi file data (base URL, tenant ID, OAuth endpoint, client ID/secret) for CloudSuite, and the Stripe API key. For CloudSuite, it refreshes the OAuth token before expiry and respects per-customer rate limits (typically 100-500 requests per minute) by backing off on 429 responses. For Stripe, it uses the static API key and validates incoming webhook signatures using HMAC-SHA256 against the registered secret. On the CloudSuite side, customers are pulled by polling the CRS610MI list endpoint filtered by modification date, and invoices are pulled from APS100MI. Payment records from Stripe are matched to CloudSuite invoices by invoice number and posted as APS110MI payment transactions, allocating to the correct GL account string (CRS630MI). Because CloudSuite's Add operations are not idempotent by default, ml-connector tracks payment posts externally to prevent duplicate GL entries. Webhook events from Stripe supplement polling to catch payment changes in near real-time.
A real-world example
A mid-sized B2B software company uses Infor CloudSuite Financials to manage AR, GL, and customer master data, and Stripe to collect subscription payments online from their SaaS customers. Before integration, the accounting team entered each Stripe payment manually into CloudSuite at month-end, reconciled customer balances by hand, and took a day to chase timing differences between Stripe and the GL. With Infor CloudSuite and Stripe connected, new customers created in CloudSuite are pushed to Stripe automatically, invoices sync to Stripe for subscription billing, and payment confirmations flow back into CloudSuite on the same day. AR aging reports now match Stripe's records without rekeying, and month-end close cuts the time spent reconciling payments by two-thirds.
What you can do
- Stream customers from Infor CloudSuite into Stripe so invoicing and subscription setup are automatic.
- Push invoices from CloudSuite to Stripe and track which ones have been paid.
- Sync Stripe payment and refund records back into CloudSuite as AR transactions, allocated to the correct GL accounts.
- Handle CloudSuite's per-customer OAuth endpoints, token refresh, and rate limits transparently.
- Validate incoming Stripe webhook signatures and replay payments on schedule to keep AR and GL in sync.
Questions
- How does data flow between Infor CloudSuite and Stripe?
- The main flow is CloudSuite into Stripe. Customers and invoices created in CloudSuite are pushed to Stripe for billing and collection. Stripe payment records (successful charges, subscriptions, refunds) are polled and written back into CloudSuite as incoming payments against AR invoices. Data flows both directions: customers and invoices upstream, payments downstream.
- How does ml-connector handle CloudSuite's per-customer OAuth setup and token refresh?
- Each CloudSuite tenant has unique OAuth endpoints and credentials stored in its .ionapi file. ml-connector extracts these credentials, constructs the token endpoint, and refreshes the bearer token before expiry (which varies 1-24 hours per customer). This shields the user from per-customer configuration variation.
- Does ml-connector use Stripe webhooks or polling for payment events?
- Both. ml-connector validates incoming Stripe webhook signatures and processes payment events in real-time where registered. It also polls Stripe's API on a schedule to catch any missed events and reconcile payment state against CloudSuite, ensuring no payment gets lost even if webhook delivery is delayed or skipped.
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