Palmes automates dataflow and sharpens focus on growth

"When you grow quickly and operate globally, you need to optimize wherever you can. With AI processes on our data, we can serve more customers without hiring an entire data science department. That's the kind of leverage a growth company needs."

— Nikolaj Hansson, Palmes

The Challenge

Palmes' team spent significant time manually pulling data from various sources: Google Analytics, MedusaJS webshop, and internal spreadsheets. Reports were made ad hoc, and there was no unified overview of what drove sales and conversion.

With a small team and high growth, there wasn't time to build the solution internally.

The Solution

We built an automated data pipeline that collects data from Google Analytics, MedusaJS, and internal sources into one dashboard. The pipeline sends trigger-based alerts to Slack when KPIs change significantly. We integrated AI-assisted analysis via Gemini API that provides actionable recommendations based on data.

The solution runs automatically and requires no daily maintenance from Palmes' team.

Results

Time savings: Operations uses significantly fewer hours on manual data collection.

Better decisions: The data science angle provides insights that were previously overlooked.

Increased conversion: Faster reaction to trends has improved sales performance.