Payment Lifecycle Manager

Automate scheduled payment state transitions by running a daily batch process against a PostgreSQL database that checks due dates and updates payment statuses from scheduled to pending and pending to late.

Configure batch processing of payment lifecycle updates by setting the required CHECK_CRON variable to define the daily schedule, DB_CONNECTION for the PostgreSQL backend, and STATUS_TRANSITIONS for the state mapping.

Yes, you can specify a timezone for date calculations during payment status changes by setting the optional TIMEZONE variable alongside the required DB_CONNECTION, STATUS_TRANSITIONS, and CHECK_CRON variables.

The best way to automatically move pending payments to a late status is using a daily scheduled batch process that evaluates due dates and applies state transitions to all qualifying records in a single run.

Yes, this payment lifecycle management batch processing requires PostgreSQL as the backend database to store connection details and execute the scheduled state transition queries.

You do not need to manually update scheduled payment statuses; a daily scheduler automates the lifecycle by applying batch state transitions from scheduled to pending and pending to late, reducing manual errors.