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.

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, throttling, and delayed reporting
• Complex report workflows (create → fetch → parse)
• Need for near real-time alerts without false positives
• Secure handling of OAuth tokens and seller data at scale
• 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.

We designed and delivered a production-grade Amazon ETL and analytics backbone on AWS, purpose-built for scale and reliability.

Our work included:

• 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
• End-to-end monitoring, sandbox testing, and production deployment readiness

The result was a clean, extensible ETL system capable of powering real-time alerts, dashboards, and future automation layers.

• A scalable SaaS-ready data platform capable of handling multiple seller accounts securely
• Near real-time visibility into enforcement risk signals that were previously buried or delayed
• A unified risk score with historical context and explainability
• Reduced operational overhead through automated ingestion and processing
• A foundation ready for advanced analytics, automation, and future AI-driven features

Protego now operates on a robust data infrastructure that can grow with customer demand without compromising accuracy, performance, or compliance.