➡️ Video Tutorial
📌 This article covers the analytics view specifically. For the overview of 3-Way Match itself, see How to Use Three-Way Match in Ply. For setting up the tolerances that determine what counts as a discrepancy, see How to Set Up Auto-Approval for 3-Way Match.
➡️ Where to find it
Go to your 3-Way Match view and click on the Suppliers tab.
➡️ The overview row
The top row gives you a holistic view across all suppliers:
Total matched items
Auto-match rate %
Warning rate match %
Exception rate
Average price discrepancy
➡️ Top supplier rankings
The next two sections rank your suppliers:
Top suppliers by exception rate
Top suppliers by price discrepancy rate
Being number one on these lists isn't a good thing - it means that supplier is generating the most discrepancies.
➡️ The full supplier breakdown
Below the rankings you'll find every supplier listed out, with the following columns:
Matched items
Auto-matched items
Auto-match rate %
Number of exceptions
Exception rate %
Average price discrepancy
Highest price discrepancy
Risk score - hover for more detail on how this is calculated
➡️ Deep diving into a single supplier
Click on any supplier to open their individual view. Here you'll see:
The same metrics, but scoped to that supplier only
An AI risk overview - if the supplier has a 100% auto-match rate, there won't be a risk analysis to show, since there's nothing flagged
All matches for that supplier, showing their invoices against your purchase orders
From there you can click into any individual match to review the specific discrepancy.
💡 Suppliers with lower auto-match rates will show more in this view - exception rates, average discrepancy percentages, and a fuller scorecard to review.
➡️ Best practices
✅ Check this tab before your next pricing conversation with a supplier.
A supplier's exception rate and average price discrepancy give you concrete numbers to reference, rather than going into the conversation with just a general sense that "prices have been off lately."
✅ Don't just look at the ranking, look at the trend.
Filter by 7-day, 30-day, and 90-day windows on the same supplier to see whether their discrepancy rate is improving, stable, or getting worse over time. A single bad week can look alarming in isolation but be a non-issue over 90 days, and vice versa.
✅ Use "highest price discrepancy" alongside "average" for high-value suppliers. A supplier with a low average discrepancy can still have had one very costly outlier, worth checking if that's a one-off or part of a pattern.
✅ Treat a 100% auto-match rate as good, not incomplete.
If a supplier's individual view doesn't show a risk analysis, that's because there's nothing to flag, not because the report is missing data.
➡️ Common issues & fixes
"A supplier's individual page doesn't show any risk analysis, Is something broken?"
No, this is expected. The AI risk overview only appears when there's something to analyze — a supplier with a 100% auto-match rate has no exceptions to surface, so there's nothing for the risk overview to report.
"I want to understand exactly how a supplier's Risk Score is calculated."
Hover over the Risk Score column header (or the score itself) in the full supplier breakdown table — it shows a tooltip with more detail on how that specific score was calculated for that supplier.
"The numbers on this tab don't seem to match what I remember seeing on a specific match."
These metrics reflect your selected time window (7/30/90 days). If a match falls outside that window, it won't be counted in the current view — try widening the window, or look up that specific match directly to double-check the discrepancy.
➡️ FAQs
Does this data affect anything automatically, like blocking a supplier?
No, this tab is for visibility and reporting. It doesn't automatically restrict or flag a supplier for future orders; it's meant to inform the conversations and decisions you make.
Can I export this supplier data?
This view is built for in-app reference. If you need this data outside of Ply for a report or supplier conversation, reach out to support and we can help point you to what's available.
Does a single bad invoice significantly hurt a supplier's overall score?
It depends on your selected time window and that supplier's overall volume, one outlier has more impact on a supplier with few matched items than one with hundreds. Use the 90-day view for a more stable picture if you're concerned a single incident is skewing things.