What happens when product data needs to scale with retail growth?

A global retailer sought to improve how the product data flows across teams and channels. As Databricks pipelines expanded, ensuring consistent attributes, timely updates, and channel-ready information became increasingly important. The organization aimed to unify its product data foundation to improve decision-making, customer experience, and omnichannel accuracy.

Anblicks partnered with the retailer to modernize its product data stack by migrating from Databricks to Snowflake. We built a Snowflake-based Lakehouse architecture, automated pipelines with DBT and Airflow, enabled intuitive insights with Power BI, and introduced a Streamlit-driven quality monitoring layer to create a scalable and analytics-ready product data ecosystem.