Automotive Machine Learning Platform

Improve customers’ open-end exploration and directed search experience.

Core Technologies

Deep Hybrid Recommender

Overcoming the cold-start problem in collaborative filtering, the sparsity problem in content-based filtering and representing non-linearities in metadata.

Vehicle Distance Kernel

Efficient computation in the metric space represented by billions of vehicle configurations.

Automotive Metaspace

Abstraction layer with enriched, structured metadata above disparate raw sources of automotive product data.

Demographic Profiling

Combining multiple public and proprietary consumer data points for the most accurate customer profile at every step along the sales funnel.

Hierarchical Recommender

Facilitating the mapping of related
features within a modular systemarchitecture.

Intent Modelling

Predicting customer intent based on interaction sequences and profiles.
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