OpenClaw automation, built for enterprise data governance

Make Amazon 1P ops boring again.

RetailClaw is a governed OpenClaw service for enterprise brands selling on Amazon. We automate high-friction Vendor Central workflows and the reconciliation work that usually lives in spreadsheets, Slack, and late-night exports.

Request a pilot How governance works

No fake compliance badges. Instead: scoped access, audit logs, configurable retention, and approval gates for anything that writes back.

The workflows brands actually ask for.

Automation shaped by real retail operations constraints: heavy portals, shifting definitions, and high-stakes money.

PO and ASN discipline

Prevent cancellations and chargebacks by catching the predictable failure modes early.

  • Confirm queues and exception triage
  • ASN completeness, mismatch detection, doc checks
  • Evidence-first workflows for disputes

Deductions and recovery

Cluster deduction drivers, compute impact, and assemble a dispute-ready case file.

  • Shortage and compliance pattern detection
  • Attachments and timestamps stitched together
  • Queues prioritized by recovery likelihood

Returns diagnostics

Turn return reasons into an action list: PDP fixes, packaging, QA, and merchandising changes.

  • Return reason theme analysis
  • PDP mismatch checks for high-risk SKUs
  • Weekly narrative: what changed and why

Reconciliation that survives reality

Make lag and restatements visible so finance and ops stop arguing about definitions.

  • PO receipts vs analytics “net received” style metrics
  • Time-window mismatch detection
  • Exportable exception tables for QA

Data governance is the product.

RetailClaw is designed for enterprise brands that cannot adopt automation without controls: least privilege, auditability, retention rules, and approval gates.

Least privilege by default

Separate identities per workflow. Integrations are scoped to what each workflow needs, not “everything we can get.”

Audit logs and evidence trails

Every run can emit a trace: inputs accessed, steps executed, outputs produced, and (optional) human approvals.

Retention and minimization

Store only what is needed to reproduce outputs. Configurable retention and redaction policies to match your governance program.

Deployment boundaries

Run as a managed service or inside your environment. Keep credentials and sensitive data inside your boundary when required.

FAQ

Short answers up front. Deeper docs available during a pilot.

Is this a product or a service?

Today, RetailClaw is a governed service built on OpenClaw: we implement a few high-impact workflows end-to-end with your team. If it works repeatedly, we harden and standardize the deployment.

Do agents take actions automatically?

Only when you want them to. Most teams start read-only (extract, reconcile, draft). Any write-back step can be gated behind human approval.

What systems do you connect to?

Typically Amazon Vendor Central plus your internal sources of truth (ERP/WMS exports, ticketing, dashboards). Access stays scoped.

How do you handle credentials and sensitive data?

Credentials are scoped, rotated, and stored using your preferred secret-management pattern. Data handling focuses on auditability, minimal retention, and explicit access boundaries.

Pilot on one account.

Pick 2-3 workflows, define success criteria, and ship outputs your team will actually use. Designed to survive security review and governance questions.

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