Description
Toply Return Risk Predictor is an essential tool for any WooCommerce store that offers cash-on-delivery (COD) payment. The plugin automatically analyzes your order history and identifies customers who have a pattern of returning or refusing parcels.
Statistics show that a single refused parcel can wipe out the profit from 3-4 successfully completed orders due to round-trip shipping costs. Toply Return Risk Predictor gives you full visibility into these losses directly in your admin panel.
Key Benefits
- Risk Scoring: See the return rate percentage for each customer directly in the orders list.
- Financial Analysis: A modern dashboard that calculates the total value of capital lost to returns and failures.
- Phone Detection: Detects problematic customers even if they use different email addresses.
- Zero Configuration: Install it and it immediately starts analyzing your existing data.
Installation
- Download the archive and extract the
toply-return-risk-predictorfolder into/wp-content/plugins/. - Activate the plugin from the ‘Plugins’ menu in WordPress.
- Go to the ‘Return Risk Predictor’ menu in the sidebar to view your statistics.
FAQ
-
How is the score calculated?
-
The system divides the number of failed orders (Refunded or Failed status) by the total number of orders placed by the same customer.
-
Is it safe for the database?
-
Yes, queries are optimized to run quickly without slowing down the checkout process or the admin panel.
Reviews
There are no reviews for this plugin.
Contributors & Developers
“Toply Return Risk Predictor” is open source software. The following people have contributed to this plugin.
Contributors
Translate “Toply Return Risk Predictor” into your language.
Interested in development?
Browse the code, check out the SVN repository, or subscribe to the development log by RSS.
Changelog
1.0.1
- Moved CSS to wp_add_inline_style() via admin_enqueue_scripts hook.
- Moved admin menu under WooCommerce submenu instead of top-level.
1.0.0
- Initial community release. Historical analysis and risk scoring.