About the project
Protego is an Amazon-focused SaaS product designed to proactively detect seller enforcement risk before it escalates into account suspensions or revenue loss. The platform connects directly with Amazon Seller Central via SP-API and continuously analyzes operational, catalog, and order-level signals to generate a unified enforcement risk score.
Techesthete was engaged to architect and build the complete backend data infrastructure powering Protego ensuring the system could securely ingest, normalize, and analyze high-volume Amazon data while remaining scalable, reliable, and compliant with Amazon's API constraints.
Challenge
Amazon enforcement risk signals are fragmented across multiple Seller Central reports and APIs, making it nearly impossible for sellers or tools to identify risk early.
Key challenges included no single source of truth for enforcement-related activity, SP-API rate limits and throttling, complex report workflows, need for near real-time alerts without false positives, secure handling of OAuth tokens at scale, and designing a system that could grow from early adoption to production-scale SaaS usage.
Any delay or inconsistency in data could mean missed alerts, late reactions, and irreversible account actions.
What we did
- Secure SP-API OAuth integration with encrypted token storage and refresh handling
- Scheduled and event-driven ingestion pipelines for Orders, Listings, Catalog, and Reports APIs
- Full Reports API workflow with retry, throttling, and idempotency safeguards
- Event normalization layer to convert raw API responses into structured enforcement signals
- Rules-based risk engine to compute deterministic risk scores with historical tracking
- AI-assisted explanation layer to translate raw signals into clear, actionable insights
- Scalable AWS architecture using Lambda, SQS, S3, PostgreSQL, EventBridge, and IAM best practices
We designed and delivered a production-grade Amazon ETL and analytics backbone on AWS, purpose-built for scale and reliability.
