One of our clients, a global enterprise in the agricultural machinery sector rolled out a GenAI copilot to support its dealer network. The goal was to improve access to technical maintenance information and boost AI adoption across regions.

After launch, one internal lead wanted to know more.

“How much is this one dealer actually using it?”

Using Nebuly’s GenAI user analytics platform, the team filtered usage by dealer group name.

One stood out. In just 40 days, that dealer had more than 400 unique users, a strong signal of GenAI adoption.

But usage wasn’t consistent across every location.

Some branches were more active than others.

So the team looked deeper. A custom field let them filter usage by individual branch. This helped them spot where adoption was high and where it had stalled.

They could now follow up directly with quiet branches to understand what was blocking usage.

Higher error rates in some regions

A separate question came after they noticed that the assistant’s error rate was higher in Latin America and Europe than in North America.

Using Nebuly, the team filtered performance data by language. It was clear that non-English queries had much higher error rates.

That insight shifted their priorities, and they could focus on improving multilingual performance.

What they learned

- One dealer group had very strong adoption

- Some branches weren’t using the assistant at all

- Higher error rates were tied to language, not location

These insights came from just a few quick filters. 5 minutes. No guesswork. No waiting on dashboards that only show technical uptime.

The team left with a clear view of where adoption was strong, where it had stalled, and how language impacted performance. That visibility helped shape what came next, both in product and rollout.

Want to understand usage patterns, drop-off points, or language-related issues in your GenAI product?

Book a demo to see how Nebuly surfaces real GenAI usage insights across copilots and assistants.