Real-Time Data Pipeline for Retail Analytics

The Problem

A national retail chain had data scattered across 12 different systems—POS, inventory, CRM, marketing platforms, and more. Their analysts spent 80% of their time manually aggregating data in spreadsheets. Leadership lacked real-time visibility into sales performance, inventory levels, and marketing effectiveness across their 200+ locations.

Our Solution

Nexloom designed and built a real-time data pipeline using Apache Kafka for streaming, dbt for transformations, and Snowflake as the data warehouse. We created custom connectors for all 12 source systems, implemented data quality checks, and built executive dashboards in Looker with drill-down capabilities by region, store, and product category.

Results