Retail Real-Time Data Mesh Engine

RETAIL DATA PLATFORM CASE STUDY

Sub-Second Real-Time Analytics at Scale

The Technical Challenge

A enterprise retail chain operating 1,200 physical locations and e-commerce portals suffered from 24-hour delayed batch inventory reporting, resulting in out-of-stock losses estimated at $8M annually.

The FLEGAL Computer Solution

FLEGAL Computer data engineers designed a decentralized Data Mesh architecture utilizing Apache Kafka event streams, Apache Flink real-time transformation, and Snowflake data warehouse storage.

• 50,000 Events/Sec Throughput: Live point-of-sale streams synchronized under 200ms.
• Predictive Stock Replenishment: Real-time alerts trigger supplier orders automatically.