Amazon Seller Suspension Appeal Assistant-AI Appeal Writer

Example

For a suspension due to high Order Defect Rate (ODR), the assistant generates a POA with: (1) a clear acknowledgement of the exact reason code from Amazon's notice, (2) a concise root-cause statement (e.g., increased return rate from a newly-sourced supplier with lighter packaging), (3) corrective actions already completed (e.g., removed affected ASINs, replaced packaging), (4) preventive controls (incoming QC sampling by lot, 3rd-party inspection, updated supplier scorecards), and (5) measurable monitoring (weekly ODR report, corrective-action turnaround times).

Scenario

A medium-sized apparel seller sees a rising ODR after launching a new line. The assistant produces a POA, templates for supplier corrective action requests, and a 90-day KPI dashboard layout the seller can use to show Amazon measurable improvement.

Example

Converts a seller’s raw documents — invoices, supplier emails, lab reports, photos, batch numbers, shipping manifests — into a numbered evidence bundle with short captions (e.g., Exhibit 1: Invoice #12345 from Supplier X dated 2025-03-02; Exhibit 2: Lab authenticity test report, BAT-789) and a submission checklist that matches Amazon’s requested proof types.

Scenario

A seller accused of selling counterfeit electronics uses the assistant to map invoices and serial-numbered photos to the Amazon claim; the assistant highlights gaps (missing chain-of-custody for a specific batch) and suggests targeted steps (contact supplier for serial list, obtain notarized supplier declaration).

Example

Performs a fault-tree style analysis: symptom (A-to-z claims increased) → immediate causes (late dispatch, poor packaging, wrong item shipped) → deep causes (inaccurate pick-pack SOP, inexperienced temporary staff, misconfigured listings). For each deep cause, it prescribes specific corrective actions (revised SOP, staff retraining with sign-off, inventory reconciliation routine) and a verification plan (sample checks, audit frequency).

Scenario

A seller who recently scaled quickly hires temporary pickers and experiences fulfillment errors. The assistant identifies insufficient training and lack of SKU mapping as core issues, drafts an SOP for pick-pack verification (scan-to-ship), and writes a staff training curriculum and evidence checklist to be attached to the POA.

Example

Interprets Amazon’s sometimes-vague policy language (e.g., what Amazon means by 'adequate proof of authenticity' in a counterfeit claim) and maps it to concrete document types and processes (e.g., need for supplier authorization letter on company letterhead, notarized if requested; lot-specific invoices; photos showing brand markings and serial numbers).

Scenario

A private-label seller receives a policy violation for 'inaccurate product information'. The assistant breaks down Amazon’s listing policies and recommends corrective listing text changes, ASIN-level content control measures, and a process for pre-approval of listings to prevent recurrence.

Example

Writes Standard Operating Procedures tailored to the seller’s operation, such as Receiving QC SOP, Supplier Onboarding SOP (required docs, minimum invoice values, audit cadence), and Customer Service SOP (response templates, escalation timeline). Each SOP contains responsibilities, acceptance criteria, and documented evidence that can be attached to appeals.

Scenario

A family-run cosmetics brand is suspended for safety concerns. The assistant authors a Receiving QC SOP (sample retention for 12 months, batch testing requirements), recall procedure, and a supplier audit checklist to demonstrate a credible prevention program.

Example

When initial appeals fail, the assistant drafts improved follow-up appeals emphasizing new evidence, expanded root-cause work, third-party lab results, or legal correspondence; it also recommends escalation paths such as Amazon Seller Support channels, Brand Registry dispute processes, or, when appropriate, legal counsel engagement.

Scenario

An online seller’s first POA is rejected for being ‘too generic’. The assistant crafts a revised appeal that includes granular corrective actions, numbered evidence exhibits, and a day-by-day timeline of corrective steps taken since the first submission.