AR Disputes & Revenue Leakage
Goal & Scope
- Goal: Apply AP exception handling and matching logic to the Revenue/AR side to resolve disputes faster and prevent leakage.
- Scope:
- Customer invoice dispute classification.
- Automated evidence assembly (Delivery, Contract, Usage).
- Revenue leakage analytics.
- Why: Faster cash collection (lower DSO), clear ROI, leverages existing AI primitives.
Data Model
- Dispute Case:
case_id
customer_invoice_id
customer_id
status (New, Evidence Gathering, Ready for Review, Resolved)
dispute_reason (Price, Quantity, Delivery, Tax)
- Evidence Package:
case_id (FK)
linked_documents (List: Contract, POD, Usage Logs)
auto_summary (AI-generated explanation of validity)
- Leakage Metric:
metric_type (e.g., Unbilled, Underbilled, Written-off)
amount
period
Logic
Dispute Classification
- Ingest dispute notification (email/portal).
- Classify intent: "Wrong Price", "Didn't receive goods", "Damaged", etc.
Evidence Auto-Assembly
- Trigger: New Dispute Case created.
- Action:
- Fetch associated Contract (validate price).
- Fetch Proof of Delivery (POD) from logistics integration (validate quantity/receipt).
- Fetch Usage Logs (if usage-based).
- Outcome: Assemble "Evidence Package" to substantiate the invoice.
Revenue Leakage Analytics
- Identify patterns where disputes lead to write-offs or credit notes.
- Calculate impact on DSO (Days Sales Outstanding).
UX/UI
- Dispute Resolution Center:
- Similar to AP Matching view but for AR.
- Left: Customer Dispute details.
- Right: Generated Evidence Package & Recommendation.
- Action Buttons:
- "Send Evidence to Customer"
- "Issue Credit Note"
- Leakage Dashboard:
- Analytics on recurring dispute reasons and revenue impact.
API/Integration
- Inputs:
- AR Ledger (Outgoing Invoices).
- CRM/Contract System (Terms).
- Logistics/Fulfillment System (PODs).
- Usage Data (for metered billing).
- Outputs:
- Email drafts to customers.
- Adjustments to AR Ledger (Credit Notes).