Support & Account Health · Blog post · source Not dated on the page (checked Oct 29, 2026)
Client Email Triage into Tickets for an Amazon Agency with n8n
Sort client emails into PPC, listing, account health and reimbursement tickets automatically
“Email-to-ticket takes 15-30 seconds”
Per source From the tool's vendor, not independently tested.
Copy-paste prompt
Classify this email from an Amazon seller client into exactly one category: PPC, Listing, Account Health, Reimbursement, FBA Shipment, Inventory, Brand Registry, Billing, Other.
Return JSON: {"category": "...", "client": "...", "asins": [...], "urgency": "high|normal", "summary": "<=25 words"}.
Mark urgency high only for suspensions, listing deactivations or stranded inventory.
Email: [paste]The source didn't publish its exact prompt. We wrote this starter so you can try the same workflow. Replace anything in [brackets].
What they did
eStore Factory, an Amazon seller consulting agency with 100+ staff, had a team member spending 2.5 hours a day reading 30-60 inbound support emails, sorting them into categories and creating tickets. Automation firm HumansAI built a self-hosted n8n workflow of 130+ nodes in which GPT-4 classifies each email into 13+ categories (PPC, Listing, Account Health, Reimbursement, FBA, Inventory, Brand Registry and more), creates a Zoho Projects ticket with the right assignee, files attachments and notifies the team's channels, with thread deduplication so reply chains don't open new tickets.
How it went
Email-to-ticket takes 15-30 seconds, around the clock. HumansAI credits the triage workflow with 900+ hours a year, part of 1,000+ hours across five n8n workflows built for the agency (the others cover ticket notifications, invoicing, daily reports and meeting reminders).
We only report what the source says. Results are self-reported unless noted.
Worth knowing
The builder's own case study, so the hour counts are theirs. The idea carries over to any seller or agency inbox: classify by Amazon issue type first, then route, and dedupe by thread before creating anything.