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Volvo
Revamping Volvo's Data Analytics with Cloud Technology
Scoring model accuracy
94%+
Retraining
daily, automated
Clouds served
AWS + Azure
Volvo is a Swedish multinational automotive company known for its commitment to safety, innovative engineering, and Scandinavian design. They specialize in manufacturing and selling a wide range of vehicles, including sedans, SUVs, crossovers, and electric cars.
What changed
Before
Model
Python scoring model
not yet in production
After
Pipeline
Python ETL
clean · normalize · daily
Model
Scoring model
94%+ accuracy
Auto-retrain
Package
Docker
Serving
Kubernetes
AWS + Azure
A Python lead-scoring model put into production: a daily data pipeline feeds automated retraining, and the model serves from Kubernetes on AWS and Azure.
What we built
The client needed to deploy a machine learning-based scoring model built in Python for lead prediction. The model required at least six months of historical data per training run. They also needed a push notification system and several supporting applications. Everything had to be cloud-agnostic and deployable on both AWS and Azure.
Key Features
Deployed a Python-based scoring model for predicting leads.
Automated the entire model lifecycle — training, testing, and deployment — using CI/CD pipelines.
Ensured scalable and efficient infrastructure for handling large volumes of data.
Scheduled model updates to run daily with the latest data.
Developed a push notification system and integrated it with Retool.
Results
Optimized the Python scoring model to achieve over 94% accuracy.
Dockerized the application to run on dedicated nodes in a Kubernetes cluster on both AWS and Azure.
Built a data pipeline using Python to preprocess data, clean missing values, and normalize the dataset for model training — automated to run daily and feed the latest data into the retraining process.
Stack
Engagement: 2 years · Platform & Cloud Engineering, Real-time & Industrial Data Platforms, Product Engineering
Next step
Let's look at your platform together.
45 minutes · an engineer, not a sales rep · no obligation