Margin Recovery - Review Queue

🤖 What You're Looking At

We're building an AI agent that audits every worksheet for margin recovery opportunities — pricing errors, weight discrepancies, freight issues, and more. It's early, and your feedback is what teaches it to get better.

⚖️ When to Use Each Verdict

Verdict	When to Use
✓ Confirmed	The finding is a real issue you'd want to follow up on. Even if the exact dollar amount is off — the direction is correct.
✗ Dismissed	The AI got this wrong. It's a false positive — maybe it misread the data, or this is expected business practice.
? Needs Info	You can't tell from what's shown. You'd need to check cieTrade or ask someone else to verify.

✅ What Good Feedback Looks Like

The comment field is where the real value is. Help us understand why you chose that verdict.

✅ Great — Confirmed

"Yes, the buy price on Cu#2 was definitely wrong here. We've had this issue with this vendor before — their scale tickets frequently don't match."

✅ Great — Dismissed

"This freight charge is correct. We always absorb freight for this customer per our contract terms — the AI doesn't know about that agreement."

✅ Great — Dismissed with context

"Weight variance under 2% is normal for this material. We don't flag these — the AI threshold is too sensitive."

❌ What Doesn't Help as Much

❌ Too vague

"Looks wrong" or "No" (Why is it wrong? What did the AI miss?)

❌ No comment at all

A verdict alone tells us what, but a comment tells us why — that's what trains the AI.

💡 Quick Tips

• Don't worry about being perfect — partial feedback is better than none.
• Use the cieTrade link to cross-reference if you're unsure.
• Mention vendor/customer context the AI can't see (contracts, common patterns, historical behavior).
• Adjust the recovered $ if you know the actual amount — this helps us calibrate estimates.

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❓ How to Give Great Feedback

🤖 What You're Looking At

⚖️ When to Use Each Verdict

✅ What Good Feedback Looks Like

❌ What Doesn't Help as Much

💡 Quick Tips