Case Study: Carhartt achieves faster customer insights and streamlined data workflows with Databricks

Aligning workwear innovation with customer-focused insights

Carhartt, the long-standing workwear brand, was looking to improve product quality, enhance customer experiences, and streamline operations as consumer expectations shifted. To tackle these data and analytics challenges, Carhartt adopted the Databricks Data Intelligence Platform, including Delta Lake, Lakeflow Jobs, and GenAI tools to better analyze customer feedback and manage data workflows.

With Databricks, Carhartt centralized analytics data, automated orchestration, and built AI-powered dashboards for sentiment analysis, emotion detection, and feedback classification. The results included an 80% reduction in setup and maintenance efforts for orchestration, faster identification of product issues and safety concerns, and more efficient collaboration across quality, compliance, and customer service teams.

Carhartt

Christopher Mooney

Manager of Data Science