How Webmotors Uses Databricks AI/BI Genie to Cut Analyst Tickets by 72%

Webmotors operates Brazil’s largest automotive marketplace, a data-intensive platform where every product and business decision depends on timely analytics across departments including product, marketing, sales, and finance. With a mission to connect car buyers and sellers through a high-quality digital experience, the data team plays a central role in ensuring that data informs every decision across the organization.

Employees had access to data but lacked the technical skills to query it directly. Even straightforward questions—combining two datasets, pulling a simple filter—required filing a ticket with the central data team. The team faced a constant backlog, and turnaround time sat at three days even when analysts prioritized the queue. “Our analysts were working around the clock helping their coworkers get the answers they needed,” said Arjuna Lacerda, Data Analytics Lead at Webmotors. “It simply wasn’t sustainable.” Business teams made decisions without current data, or waited long enough that the decision window had passed.

Webmotors was already running Databricks across its full data stack: engineering pipelines, Unity Catalog for governance, Databricks SQL for warehousing, and machine learning models for product recommendations. Adding AI/BI Genie as the natural-language query layer was the logical next step. With just 18 training sessions, 214 users across departments learned to query data in plain English—no SQL required. The team built a full internal ecosystem around it: business rooms, structured request flows, dashboards, feedback monitoring, and automated improvement loops.

The results were decisive. Ticket volume dropped 72% year-over-year. The data team reclaimed 200 analyst hours per month. AI/BI Genie handled more than 2,800 conversations, reaching 100 monthly active users in under six months—real, organic demand from product, marketing, sales, and finance teams asking questions they previously couldn’t. “With AI/BI Genie, employees now get answers using natural language, without needing SQL or any technical knowledge,” said Vivaldo Neto, Head of Data at Webmotors.

Webmotors plans to embed AI/BI Genie queries directly into dashboards and automate library improvements using feedback loops—continuing a shift toward a data-driven culture where every employee can act on live insights without technical gatekeepers in the path.