Tips & Best Practices
Reducing PO errors systematically - a 4-week playbook
Teams that cut PO error rate from 3 % to under 0.5 % in one month follow this exact sequence. Each week builds on the last and the work is small but non-negotiable.
The teams with the cleanest PO accuracy aren’t doing anything magical - they’re being deliberate about feedback loops. Here’s what they do.
Week 1: Measure the baseline
Before you can reduce errors, write down what counts as an error. Most teams use:
- Field-level accuracy - any corrected field is an error
- Document-level accuracy - any PO requiring a correction is an error
Pick one definition and stick to it. Export OrderPilot’s accuracy report for the last 30 days. Expect 97–99 % field accuracy and 85–95 % document accuracy on your first measurement.
Week 2: Fix the top 3 suppliers
Sort your error log by supplier. In almost every case, 60–70 % of errors come from the top 3–5 suppliers - usually because their PDF templates have a quirk (merged header cells, multi-currency totals, non-standard date formats).
For each, do one of three things:
- Upload an updated layout template to OrderPilot’s supplier profile
- Ask the supplier to switch to a cleaner PDF export
- Create a rule in Settings › Supplier rules (e.g., “this supplier always sends kg, not lbs”)
You’ll usually cut the error rate by half just from this step.
Week 3: Tighten SKU mapping
The second biggest error source is SKU mismatches. Common patterns:
- Supplier uses product name; your ERP uses SKU
- Supplier uses old SKU; you’ve renumbered
- Supplier uses UoM “case of 12”; you store as “12 x each”
Upload a supplier ↔ SKU ↔ UoM table once. OrderPilot will match aggressively and you’ll only see uncertain cases in the queue.
Week 4: Institute a weekly review
By now you should be under 1 % document error rate. Keep it there with a 15-minute weekly ritual:
- Pull the accuracy report
- Look at the top 3 error causes that week
- Fix one (template, rule, mapping) - just one
- Note the fix in a shared doc
Compounding weekly gains beat one-time cleanups.
Common traps
- Don’t disable auto-approval prematurely. If you route everything to manual review, you lose the active learning signal. Trust the confidence scores.
- Don’t correct silently in the ERP. If you fix a PO in AFAS/SAP without correcting it in OrderPilot, the model never learns. Always correct in OrderPilot first.
After 4 weeks, most teams settle at 0.3–0.5 % error rate indefinitely. That’s where the ROI really shows up.