PAT Aging

Updated June 09, 2026 17:09

PAT Aging is an OASIS Online-exclusive report created with machine learning technology that analyzes historical shipping and invoicing patterns to predict when payments may be received. This article explains how to use the PAT Aging report.

Requirements:

A web workgroup must be selected in Web Global Settings. Once set, it may take up to 24 hours for the report to analyze and generate data.
At least 6 months of shipping information entered on orders. This is recommended for PAT to make reasonable predictions.

Note:

This report updates nightly.
Totals may be inaccurate on the first and last days of the month as OASIS processes recalculations based on the timeframe.
This report does not consider HFR orders in its predictions.

Locating the Report

1. Click the icon.

2. Select Invoices from the drop-down list.

3. The Invoice Listing page will appear.

4. Click Reports, then PAT Aging.

5. The PAT Aging Report will appear.

Navigating the Report

Use the menus at the top of the page to print PAT Aging data or to adjust the report's parameters.

Reports- print the report, the invoice prediction data, or the order prediction data to .xlsx
Timeframe- select a timeframe for the report (sliding 12 months, previous 6 months, previous 12 months, or a single year from the last 5 years)
Workgroup- filter the report by workgroup
Kind- select the type of earnings to show in the report (resell or commission)

The report header provides an overview of the table's data, including order, invoice, payment, and forecasted (prediction) totals. The data is categorized as:

Issues: An overview of earnings and forecasted earnings in previous months. Open earnings from past months indicate an outstanding balance due for collection.
Current: An overview of the current month's present and expected earnings.
Next month: An overview of what's already recorded and expected in upcoming months. This insight into future income may help guide business spending decisions.

The table below breaks out the data by month. Blank months in the table indicate there were no earnings, no predictions for that month, or not enough historical data to make a prediction.

The "Accuracy" information below the tables represents the percentage of predictions that correctly targeted the payment date for forecasted earnings within 15 and 30 days of the payment date.