Website visitor prediction
Using AI to predict website visitor journeys.
![example image](/assets/img/team.png)
tfc.ai in collaboration with a German software development company
![example image](/assets/img/flat.png)
Automotive
![example image](/assets/img/city.png)
Germany
We were approached by a German software development company to develop a customer journey prediction AI for a Southern German automotive company. The end customer was interested in how well a modern AI system could predict the next website a user would visit based on their browsing history. We used a dataset of millions of past website visits to train a modern language model.
![AI Prediction Improvements over baseline chart.](/assets/img/ai-customer-journey-prediction.jpg)
AI Prediction Improvements over baseline.
Project Details
Industry: Automotive
Time Frame: 2023
Technologies / Products used:
- Apple MPS acceleration for Neural Network Training
- fast.ai, PyTorch and Pandas frameworks
- Google Cloud Firebase for cloud model deployment
- REST API for UI - Backend Interface
- Jupyter Notebooks for fast and agile model development and training
{"prediction":
["car-configurator.select_motorization", "models", "product_list.cars"],
"time": 92}
Sample API response.