Talk to the Coolest Tech Company in the Nordics
We genuinely believe that technology is the answer to some of the greatest challenges facing society.
Scaling Machine Learning for Data-Driven Marketing
.jpg)
Challenge
Existing machine learning efforts were fragmented and struggled to handle complex MarTech challenges such as imbalanced datasets and rapidly changing customer behavior. There was a need to move from isolated experiments to scalable, production-ready solutions with strong operational foundations.
Context
Fortnox operates a large-scale SaaS platform and wanted to strengthen its data-driven marketing capabilities through scalable machine learning and customer insight.
What we did
We scoped and prioritized ML use cases for marketing campaigns and personalized recommendations. Designed and implemented production-grade ML solutions on Google Cloud Platform using Vertex AI. Built robust training pipelines and a reusable ML framework to accelerate development and evaluation. Established MLOps practices across teams to enable reliable deployment, monitoring, and lifecycle management. Developed a propensity model for customer segmentation based on event-driven data, forming the foundation for a Feature Store on GCP.
Result
Faster development and deployment of ML models for marketing use cases. More accurate customer segmentation, identifying high-value segments that outperformed traditional approaches. Improved organizational capability to scale ML through shared frameworks and MLOps practices. Strengthened trust in data-driven decision-making through clearer, actionable insights.
.jpg)
