Real-Time Retail Intelligence & Forecasting Platform
Turrets
Retail & Big Box
Data Platform Engineering
Enterprise Grade
Engineering resilience through Turrets's transformation.
For Turrets, we architected and delivered a high-performance retail intelligence platform ingesting high-velocity sales, customer behavior, and supply-chain events. Our Apache Kafka + Apache Flink streaming pipeline processes over 800,000 events per second from hundreds of retail points. Real-time executive dashboards backed by Snowflake Cortex deliver query results under 2 seconds on a 500TB dataset — enabling Turrets to increase forecasting accuracy by 28% and prevent inventory stockouts in real time.
The Strategic Objective
- Ingest high-velocity sales and supply chain events from 400+ retail points in real time, replacing overnight batch ETL.
- Build a unified customer behavior and store inventory data model on a modern lakehouse architecture.
- Predict regional product demand at SKU-level to prevent inventory stockouts and overstock events.
- Deliver sub-2-second real-time executive dashboards to support dynamic promotion and pricing decisions.
The Engineering Solution
- Designed a real-time event-streaming pipeline using Apache Kafka (8-partition, 3-replica clusters) and Apache Flink for stateful window aggregations — achieving 800,000+ events/sec peak ingestion with end-to-end latency under 40ms.
- Migrated fragmented data silos into a unified Snowflake + Apache Iceberg lakehouse, enabling both streaming queries and historical batch analytics on 500TB of retail data.
- Deployed Vertex AI demand forecasting models with automated retraining pipelines, achieving 28% improvement in inventory forecast accuracy across major retail SKUs.
- Built Looker dashboards backed by Snowflake Cortex with sub-2-second query response times on the full 500TB dataset, enabling live promotion and logistics decisions.
Business Outcomes
Increase in inventory forecasting accuracy across major retail categories and SKUs.
Events per second ingested at peak via Apache Kafka and Flink streaming pipeline.
Real-time dashboard query latency on a 500TB Snowflake Cortex data warehouse.
Visibility into daily store sales and product movement patterns, replaced weekly batch reports.
From Batch Reports to Real-Time Intelligence at 800K Events/sec
Shifting from weekly batch reports to a sub-40ms streaming architecture has empowered Turrets' supply chain managers to redirect inventory dynamically in real time. The Snowflake Cortex-powered lakehouse provides analysts with query results in under 2 seconds across 500TB of historical and live retail data — turning raw events into measurable revenue protection.
