The tangle is the case.
SellerTrace begins with the mess: catalogue requests, case IDs, ASINs, order references, screenshots, support replies, dashboard states, policy links, emails, forum posts, seller links, and browser residue.
Most cases begin as a tangle: a dashboard says one thing, a support reply says another, and a buyer-facing page contradicts both. That tangle is not noise. It is often the case. SellerTrace preserves the contradiction first, then structures it into something that can be escalated, stored, compared, and taught.
The SellerTrace method
Collect the unedited material
Gather screenshots, case IDs, ASINs, order references, support replies, policy links, dashboard states, forum posts, emails, and visible page behaviour before any interpretation begins.
Label each claim precisely
Separate observed facts, seller reports, platform statements, inferences, contradictions, unknowns, and missing evidence. Do not treat all claims as equal.
Preserve the contradiction
A dashboard, a support reply, and a buyer-facing page may each show a different state. That mismatch is often the only audit trail available.
Identify the system boundary
Ask which layer appears to own the visible outcome: catalogue, pricing engine, compliance, returns, carrier logic, support routing, advertising, search visibility, Account Health, or page render.
Generate escalation-ready outputs
Turn structured evidence into support-safe replies, moderator-facing posts, internal audit summaries, public articles, book paragraphs, reusable pattern tags, contradiction maps, and evidence quality scores.
Never over-confirm
Never use confirmed for platform behaviour that has not been verified by Amazon’s backend systems. Use careful language: appears to, is consistent with, seller reports, platform statement says, visible evidence suggests, mechanism not confirmed.
Support agents may present inferences as facts. SellerTrace must label this correctly even when the platform does not — and must apply the same standard to its own outputs.