Transforming Legacy B2B into an Event-Driven E-commerce Ecosystem

The client, a major regional wholesaler (CrazyService), operated on a legacy infrastructure where critical business data (10,000+ SKU, real-time stock levels, tiered pricing) was trapped in a static ERP system (1C).

The Challenge: Breaking the “Warehouse” Silo

The client, a major regional wholesaler (CrazyService), operated on a legacy infrastructure where critical business data (10,000+ SKU, real-time stock levels, tiered pricing) was trapped in a static ERP system (1C).

  • The Problem: Manual updates caused “Data Latency” — the website showed outdated prices and stock, leading to lost sales and operational chaos.

  • The Architecture: A classic “Polling” model where the frontend constantly begged the backend for updates, creating a bottleneck.

The Strategy: From “Polling” to “Streaming”

As the Lead Architect and Product Owner, I redesigned the platform using the principles of Event-Driven Architecture (EDA) — the same logic that powers systems like Apache Kafka and Google Tag Manager.

The Implementation (The Pipeline)

Instead of manual entry, we built an automated Data Pipeline:

  1. Event Ingestion: Deployed autonomous agents powered by Python and Playwright. These agents monitor the ERP “Warehouse” for state changes (Price Change, Stock In/Out).

  2. The Broker Logic: Every state change was treated as an Event. These events were routed through a central “Broker” logic to update the B2B portal, analytics (GA4), and marketing channels simultaneously.

  3. Integrity Layer: Integrated SQL-based validation to ensure that the “Business Truth” in the ERP perfectly matched the “Consumer Flow” on the website.

Technical Stack

  • Automation: Python, Playwright (for legacy interface data extraction).

  • Data Flow: Event-Driven Design, API-driven synchronization.

  • Analytics & BI: GA4, Looker Studio, GTM (for monitoring data pipeline health).

  • Management: End-to-end Product Ownership, Stakeholder Governance.

Business Outcomes

  • 40% Operational Cost Reduction: Eliminated the need for manual content updates.

  • Real-Time Accuracy: 100% synchronization of 10,000+ SKU across all digital touchpoints.

  • Scalability: The system now handles high-load B2B transactions without performance degradation.

“I didn’t just build a website; I built a high-speed data highway that turns legacy constraints into a competitive advantage.”Anton Oshmian

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