Customer Insights and Personalization Platform

Project summary

Netcorp helped the client develop a unified analytics platform to consolidate sales, marketing, and loyalty data. Built on Databricks, the system powers real-time dashboards and machine learning models that predict purchasing behavior and recommend personalized campaigns.

The team implemented MLflow for lifecycle management of predictive models, enabling marketing analysts to test, track, and deploy updates without developer involvement.

Sector:
Retail / E-commerce
Main technologies:
Databricks, PySpark, Azure Synapse, SQL, MLflow, Power BI
Duration:
1 year and 3 months
Delivery model:
Team Extension

About the company

The client is a Danish retail chain with hundreds of stores and an expanding e-commerce presence. The company focuses on customer retention through loyalty programs and personalized offers.

Enefit - development & hosting

Location:

Denmark

Duration:

1 year and 3 months

Delivery model

Team Extension

Customer feedback summary

Netcorp worked closely with the client’s analytics and marketing teams to align technical capabilities with business goals. Their expertise in data modeling and ML deployment ensured smooth delivery and measurable improvements in campaign efficiency.

The outcome

The platform increased customer engagement by 28% and shortened campaign creation time from days to hours. It provided the client with a scalable foundation for data-driven retail operations.

Additional Case Studies

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Contact us so we can help you!

Paavo Puklin
Executive Board member, Founder at Netcorp

Hello,

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