Ashish Nachane

Learn how David Yurman’s DM&A team leveraged Snowflake and dbt to build their first in-house, enterprise-scale recommendation system. To deliver personalized suggestions across diverse segments, the team developed high-fidelity analytical marts using a hybrid of content-based and collaborative filtering. By using dbt for orchestration and Snowflake as the ML serving layer, they eliminated external platforms, reduced complexity and improved performance. This modern architecture now serves as a scalable foundation for continuous innovation in customer personalization and eliminated the need for external ML platforms.