Example of Rule-Based Automation in Order Status Management

Rule #1: Example of Rule-Based Automation #

This rule exemplifies the power and flexibility of the Automated Order Status Controller plugin.

Here’s a breakdown of its components and how they contribute to enhancing order management #

1. Enable/Disable #

This option allows users to activate or deactivate the rule as needed, providing flexibility in rule management.

2. Status from/to #

In this section, users define the transition of order status. In our example, orders with the status “Pending payment” are automatically updated to “Cancelled.”

3. Admin Title (optional) #

An optional field where users can provide a descriptive title for internal reference, aiding in rule identification and organization.

4. Time Trigger #

Users can set a time trigger to specify when the rule should be applied. In our case, orders pending payment for one hour trigger the status update.

5. Skip Days #

This feature enables users to exclude specific days from the rule’s application. Users can select or deselect days of the week based on their operational requirements.

6. Skip Dates #

Users can specify dates (e.g., holidays) on which the rule should not apply, offering further customization and adaptability to seasonal fluctuations.

7. Order Minimum/Maximum Amounts #

This section allows users to define minimum and maximum order amounts or quantities for the rule to be triggered, providing granular control over order management.

8. Order Payment & Shipping #

Users can select specific payment gateways and shipping methods for the rule to apply, ensuring compatibility with their store’s payment and shipping preferences.

9. Order Countries #

Users can specify billing and shipping countries for the rule to be enforced, facilitating targeted order management based on geographical considerations.

10. Order Products #

This section enables users to apply the rule selectively to specific products, categories, tags, or stock statuses, catering to diverse product offerings.

11. Order Coupons #

Users can choose to apply the rule based on specific coupons, providing promotional flexibility while automating order processing.

12. Order Users #

This feature allows users to target orders based on customer attributes such as billing emails, user roles, or specific user accounts.

13. Order Dates #

Users can set date parameters to apply the rule to orders created within specific time frames, enhancing temporal control over order processing.

14. Order Meta #

This section enables rule application based on custom meta fields associated with orders, offering advanced customization options.