Amazon Seller Platform Audit Tool

Start with the
mess. Do not
smooth it
too early.

SellerTrace starts with the mess: raw facts, platform statements, contradictions, and missing evidence — then turns scattered Amazon seller cases into structured, escalation-ready audits.

View Cases

"Paste the raw case. Preserve the contradictions. Label the certainty. Let the system’s behaviour emerge."

Class 1 PakChoyTheatre_AmazonUniversity_BrandNameHijack_CatalogueContributionTrap_20260502
Class 2 PakChoyTheatre_AmazonUniversity_BuyerReturnLoop_ReturnStateCollapse_20260502
Class 3 PakChoyTheatre_AmazonUniversity_RetroactiveRestriction_HistoricAssociationPersistence_20260502
Class 4 PakChoyTheatre_AmazonUniversity_AZReturnReasonSwitch_EvidenceCollapse_20260502
Class 5 PakChoyTheatre_AmazonUniversity_FBABuyableBeforeCheckIn_InventoryStateMismatch_20260502
Class 6 PakChoyTheatre_AmazonUniversity_IdentityNodeMismatch_QuantumAccountOwnership_20260502
Class 7 PakChoyTheatre_AmazonUniversity_DestroyedStockDuringReview_DisplacedConsequence_20260502
Class 8 PakChoyTheatre_AmazonUniversity_DoubleRMAForOneUnit_ReturnStateCollapse_20260502
Class 9 PakChoyTheatre_AmazonUniversity_AZIncorrectAssumption_ContradictionIgnored_20260502
Class 10 PakChoyTheatre_AmazonUniversity_PricingBotLoop_OverrideWithoutFeedbackLoop_20260502
Class 11 PakChoyTheatre_AmazonUniversity_AZReceivedButRefunded_EvidenceInversion_20260502
Class 12 PakChoyTheatre_AmazonUniversity_SellingApplicationLoop_SupplierEvidenceMaze_20260502

"The vegetables learned the policy, but the machine graded the hidden workflow."

What SellerTrace does

From complaint
to audit trail.

SellerTrace does not make complaints louder. It makes platform failure legible, testable, and reusable.

01 / Raw case intake

Collect the unedited mess

Gather catalogue requests, case IDs, order IDs, ASIN screenshots, emails, forum posts, seller links, and browser residue — before any interpretation begins.

02 / Evidence separation

Label each claim precisely

Separate observed facts, seller reports, platform statements, inferences, contradictions, unknowns, and missing evidence.

03 / Audience-ready output

Build escalation-ready language

Turn structured evidence into support-safe replies, moderator-facing posts, internal audit summaries, public articles, book paragraphs, and reusable pattern tags.

Audit modules

Six doors into the
same system problem.

Each module starts from a visible seller symptom, then traces it back to platform state, responsibility boundaries, and missing feedback loops.

Catalogue / Listing Integrity

Brand attribution errors, stale catalogue state, variation mismatches, flat-file failures, and detail page corruption.

Contribution TrapExternalised QA

Returns / Refund / Carrier

Return labels, Refund at First Scan, SAFE-T claims, reimbursement statements, carrier responsibility, and boundary errors between refund, fulfilment, and reimbursement logic.

Return-State CollapseLabel ≠ Parcel

Featured Offer / Price Engine

Buy Box anomalies, internal competitor errors, external price comparator mismatches, override failures, and recurring Featured Offer loss.

Engine FailureOverride Loop

Compliance / Account Health

Retroactive compliance notifications, deleted ASINs, unresolved liability, policy contradictions, and historical account-association traps.

Historical Association TrapLax Liability

Support Routing / Case Handling

Bot loops, wrong-department routing, contradictory advice, unresolved case closures, and forum escalation as an alternative resolution path.

Support LoopMisrouting

Advertising / Visibility / Search

Ad spend anomalies, sudden rank shifts, browse-node changes, listing invisibility, traffic collapse, and opaque reporting surfaces.

Signal CorruptionPaid Visibility

Pattern library

Reusable names for
repeatable failures.

SellerTrace turns individual seller cases into a pattern language — so failures can be compared, counted, escalated, and taught.

Return-State Collapse

Separate return events — authorisation, label creation, carrier scan, refund trigger, and reimbursement — are treated as one state, collapsing evidence, timing, and liability into a single platform outcome.

Catalogue Contribution Trap

Platform catalogue logic accepts or processes changes outside the seller’s visible control, then leaves the seller exposed to attribution, compliance, or listing-state liability they cannot fully inspect or reverse.

Override Without Feedback Loop

A manual correction restores the visible outcome without changing the rule, signal, or engine that caused the failure. The symptom disappears; the recurrence path remains intact.

Externalised QA

Sellers become the unpaid detection layer for platform defects they did not create, while the audit cost, escalation effort, and resolution risk are shifted onto them..

“Amazon is not just a marketplace. It is a live textbook of what happens when platform automation outpaces accountability.”

The SellerTrace Book Project

Turn your messiest case into your clearest argument.

Paste the raw material. Preserve the contradictions. Label the certainty. Let the audit reveal the system’s behaviour.

Explore the Method