RetailPath AI

AI built for retail.

Classification, dispute drafting, and proof search, inside the workflow your team already runs.

$310K+ recovered

Before RetailPath, Target deductions sat untouched. Revenue is finally under control.

Young Ahn Head of operations, Unlockt

Auto-classification

Every deduction classified on arrival.

RetailPath reads 820 files and retailer program rules, then tags shortage, compliance, allowance, and freight claims before AR touches the queue.

  • Code libraries for Walmart, Target, Ulta, and more
  • Confidence tied to shipped and received proof
  • Root cause routed to ops, sales, or finance

Dispute drafting

Evidence packets ready before you file.

RetailPath stitches ASN, BOL, POD, and receipt proof to the exact remittance line, so invalid claims get challenged with context.

  • Retailer-specific templates and code playbooks
  • Proof mapped to the deduction line item
  • Export to portals and email workflows

Document X-Ray

Structured proof from messy documents.

Ingest scanned BOLs, PODs, ASNs, and retailer PDFs. Quantities, signatures, and receipt status land in one order lifecycle.

  • Structured EDI and unstructured scans
  • Documents matched to POs and open deductions
  • Gaps flagged before they become write-offs

Designed for teams

Acceleration with oversight, not black-box automation.

Audit trails on every action

See what the model suggested, what your team approved, and what posted, with timestamps and user attribution.

Role-based permissions

Finance, ops, and sales each see what they need. Remittance data stays scoped to authorized users.

Human-in-the-loop

AI accelerates classification and drafting. Your team approves recoveries and disputes before anything leaves the platform.

Enterprise ready

Same security bar as the rest of RetailPath.

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No training on your data

Remittance files, deduction history, and retailer documents are never used to train or fine-tune models.

SOC 2 Type II

RetailPath AI runs on the same certified infrastructure as the rest of the platform.

Encrypted end to end

AI requests and responses encrypted in transit with TLS 1.3 and at rest with AES-256.

Contractual subprocessors

Providers are bound by agreements that prohibit use of customer data for model training.

See it live

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Watch RetailPath AI on your stack.

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