Case Study: Cycle & Carriage achieves scalable AI-driven customer journeys with Databricks

Driving the future of sustainable mobility

Cycle & Carriage, the automotive group focused on EV innovation and better customer experiences, struggled with legacy systems and fragmented data silos that made it hard to democratize access to data, collaborate, and scale AI initiatives. Working with Databricks and its Mosaic AI product, the company needed a more agile, scalable way to turn disconnected information into usable insights.

Databricks helped Cycle & Carriage build a modern data and AI foundation using Mosaic AI, including a RAG chatbot, AI agents, Vector Search, Model Serving, and governance tools. The result was faster, more personalized customer journeys, improved employee productivity, and real-time decision intelligence across business units, with Databricks enabling scalable AI innovation and quicker experimentation.

Cycle & Carriage

Rachel Lim

Chief Digital Officer