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
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How is the score calculated?
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The system divides the number of failed orders (Refunded or Failed status) by the total number of orders placed by the same customer.
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Is it safe for the database?
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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
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Interested in development?
Browse the code, check out the SVN repository, or subscribe to the development log by RSS.
Changelog
1.0.2
- Added full internationalization (i18n) support with WordPress translation system.
- All interface strings are now translatable via translate.wordpress.org.
- Added Domain Path header and languages/ folder.
1.0.1
- Minor improvements.
1.0.0
- Initial community release. Historical analysis and risk scoring.