Revving up Sales: Quantifying Automobile Relatedness and Predicting Next Purchase through Network Embeddings
![](/projects/derco1/featured_hu7d2c76683a24aa26e31df6d4df710892_122779_720x2500_fit_q75_h2_lanczos.webp)
This research project aims to enhance the decision-making process in the automotive industry. We analyzed the complete circulation permit data from 2016 to 2021 to establish a relational network structure of vehicles and their embedding representation. Then, we developed recommendation systems that were fine-tuned using customer data. Consequently, the project intends to provide valuable insights for decision-making that can cater to the needs of current and future customers.
Send us an email to get more information about this project.