Case Study: ConTe.it achieves €2M in incremental annual profit with Domino Data Lab

Delivering €2 Million in Incremental Annual Profit from Model-driven Insurance Product Recommendations

ConTe.it, the Rome-based online car and motorcycle insurance brand of Admiral Group, struggled to move data science work into production due to tool and data versioning, limited compute, poor collaboration, and lengthy manual deployment (one model took six months to convert from Python to Java). These process inefficiencies kept personalized machine learning from reaching customers and slowed innovation across Admiral’s European brands.

By adopting the Domino data science platform (with R/Python on AWS) ConTe.it deployed a personalized recommendation engine via APIs, streamlined collaboration, and cut operational friction. The platform enabled sub-second responses (0.7s 99% of the time), reduced model deployment from six months to one month and model refresh from one month to one day, and put seven models into production—delivering €500K in additional revenue to date and an expected €2M in incremental annual profit while improving customer satisfaction and reducing call-center costs.

ConTe.it

Francesco Maggina

Head, Data Science