Case Study

Recent SaaS Integration

Streamlining B2B workflows through advanced event-driven automation, real-time sync, and enterprise-grade security protocols.

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Project Specifications

  • Category: B2B / SaaS Automation
  • Client: SupplyChain Logix
  • Services: API Design, Database Sync, Cloud Architecture
  • Tech Stack: Node.js, Postgres, Redis, AWS API Gateway
  • Status: Active Development
SaaS Integration Diagram Preview

The Challenge

SupplyChain Logix deals with thousands of shipping invoices, customs logs, and purchase orders daily. Historically, their internal ERP (Enterprise Resource Planning) database was entirely cut off from vendor logistics software. Employees had to manually transfer data between three separate third-party SaaS portals and their legacy internal databases, causing massive operational bottlenecks, transaction delays, and inventory inaccuracies due to human oversight.

Our Strategic Approach

We designed an asynchronous integration middleware that connects vendor APIs to the client's internal PostgreSQL database. To prevent vendor system query drops during peak hours, we implemented an Event-Driven Architecture utilizing Redis as a high-speed queuing layer. This buffers incoming transactions and safely dispatches them to internal databases in manageable batches, eliminating data loss during network traffic spikes.

Key Technical Achievements

  • Event-Driven Message Queuing

    Utilized Redis Pub/Sub and queue workers to structure incoming events. The platform is capable of ingestion rates up to 1,000 transactions per second without server degradation or database locks.

  • Enterprise Security & Rate Throttling

    Configured AWS API Gateway with customized client authentication tokens, CORS policies, and rate limiters to protect the network from malicious attacks or accidental vendor loops.

  • Comprehensive Activity Dashboard

    Built a lightweight React dashboard for the client's IT team to monitor active API integrations, track error logs, and trigger manual syncs when vendor systems undergo scheduled maintenance.

Project Results

Measuring Success

80%

Manual Processing Reduction

500k+

Daily Transactions Processed

<50ms

Queue Event Latency