AI-Powered Amazon Suspension Appeals, Built for Speed and Accuracy
AMZ Appeal AI is an intelligent SaaS platform that helps Amazon sellers recover suspended accounts using professionally structured, AI-generated appeal documents. The platform replaces slow, error-prone manual appeals with a guided AI wizard that analyzes suspension reasons, applies Amazon policy logic, and generates customized appeals aligned with Amazon’s compliance standards.
The Challenge
Amazon account suspensions are complex, time-sensitive, and policy-driven. Sellers often fail reinstatement due to poorly written appeals or misunderstanding Amazon’s requirements.
Amazon suspension appeals require precise alignment with internal policies. Generic templates or emotional responses frequently lead to permanent account loss.
Professional appeal writers charge high fees and take days or weeks, creating delays that directly impact seller revenue.
Most sellers do not know which suspension category applies to them or how to structure responses across root cause, corrective actions, and prevention.
THE SOLUTION
We designed and developed a fully automated AI appeal generation system that transforms Amazon suspension recovery into a structured, guided, and scalable process.
A rule-based AI system powered by 30+ expert-level appeal documents analyzes user inputs and generates professional appeals tailored to specific suspension types.
An intuitive 8-step workflow guides sellers through suspension type, account details, root cause, corrective actions, prevention strategy, document review, and final appeal submission.
Built with Node.js, Next.js, PostgreSQL, and Stripe, the platform supports high traffic, secure payments, and future expansion for new suspension categories and AI providers.
The Results
AMZ Appeal AI delivers a faster, more reliable alternative to manual appeal writing while maintaining professional quality and compliance accuracy.
Automated Appeal Platform
that helps Amazon sellers generate professional, policy-aligned appeals without hiring expensive consultants or wasting time on trial and error.
4 Weeks
from concept to launch, including AI logic implementation, multi-step workflows, Stripe payments, and production-ready deployment.