Vendor Chargeback Agent

The agent autonomously creates debit memos by cross-referencing return data with supplier contracts. It eliminates manual financial reconciliation by:

• Extracting Return Material Authorization (RMA) numbers and defect codes from the returns stream
• Matching each defective unit against the specific vendor agreement and chargeback schedule
• Calculating the exact financial recovery amount, including cost of goods, handling fees, and freight
• Generating a compliant debit note in the required format (EDI 812, PDF, or API payload)

This transforms a weeks-long manual accounting process into a real-time financial operation.

The agent ingests and structures unstructured supplier agreements to create a machine-executable chargeback rulebook. It uses natural language processing (NLP) to extract:

• Defect allowance rates and acceptable quality levels (AQL)
• Per-unit chargeback amounts and tiered penalty structures
• Dispute windows and evidentiary requirements for valid claims
• Currency and tax treatment for cross-border vendor relationships

The parsed rules are stored in a knowledge graph, linking each SKU and supplier to its precise financial recovery logic, ensuring no negotiated recovery is ever missed.

To withstand supplier disputes, the agent automatically compiles a forensic evidence package for each chargeback. It aggregates:

• Computer vision grading images showing the specific defect on the returned unit
• Inbound quality inspection reports with timestamp and inspector ID
• Serial number verification linking the defective unit to the original purchase order
• Carrier delivery confirmation proving the item was received in damaged condition

This evidentiary rigor increases chargeback recovery rates by preempting supplier challenges with irrefutable documentation.

The agent submits chargebacks through the supplier's required channel, adapting to heterogeneous vendor systems without manual intervention:

• EDI 812 transmission for large retail partners with established VAN connections
• Supplier portal automation using robotic process automation (RPA) for web-based claim entry
• API-based submission for modern vendor platforms with programmatic interfaces
• Email with structured attachments for smaller suppliers without digital infrastructure

The engine tracks acknowledgment receipts and escalates non-responsive suppliers automatically.

When a supplier rejects or short-pays a chargeback, the agent initiates a structured rebuttal workflow. It:

• Parses the supplier's rejection reason code and categorizes the dispute type
• Retrieves the relevant contractual clause that supports the original claim
• Generates a rebuttal letter with embedded evidence and contractual citations
• Escalates to a human analyst only when the dispute exceeds a configurable value threshold or involves novel exception patterns

This keeps the days sales outstanding (DSO) for chargebacks low and minimizes finance team involvement.

The agent provides a real-time financial recovery dashboard that tracks chargeback effectiveness across the supplier base. Key metrics include:

• Gross recovery rate: percentage of eligible defective value successfully charged back
• Supplier dispute propensity: which vendors challenge claims most frequently and why
• Cycle time analysis: average days from defect identification to cash recovery
• Defect trend correlation: linking specific product flaws to supplier production batches for root-cause negotiation

This intelligence enables procurement teams to renegotiate supplier terms based on empirical quality data.