O2C tracks revenue from the moment a customer places an order through to cash actually landing in the company's bank account: order entry and validation, a credit check against the customer's terms, fulfillment or delivery, invoice generation, and finally collections if payment doesn't arrive on time.

Collections is often the most manual and relationship-sensitive part of this cycle: following up on overdue invoices requires judgment about tone and timing, not just a mechanical reminder, which is why it's frequently where the most human effort concentrates.

Frequently Asked Questions

What are the typical stages of order-to-cash?

Order entry, credit and risk check, fulfillment or service delivery, invoicing, and collections, with cash application (matching an incoming payment to the right open invoice) sometimes treated as its own distinct stage at the end.

Why does the credit check step matter so much?

Fulfilling an order for a customer who then doesn't pay is a direct revenue loss. Checking a customer's credit standing and payment history before fulfillment helps catch risk before goods or services go out the door, not after.

What makes collections hard to fully automate?

It's part process, part relationship management, an important customer with a late payment often needs a different approach than a routine reminder, and getting the tone wrong can damage a relationship worth far more than the overdue invoice.

How does an AI agent help with cash application?

Incoming payments don't always reference the invoice cleanly, a wire might arrive with a garbled remittance note. An agent can match ambiguous payments against open invoices using amount, timing, and customer history, work that otherwise means manual detective work by an AR analyst.