Lack of actionable data related to auto performance and customer use made it difficult to optimize dealer service communications and operations and enhance customer satisfaction.
Dealer KPIs (sales, customer feedback, service quality) are fed into predictive ML models.
Interactive dashboards provide dealership managers with recommendations for specific interventions.
Algorithms: XGBoost for prediction; NLP models (RoBERTa) for sentiment analysis.
Supply chain delays were being caused by inaccurate demand forecasting. Overstocking was raising inventory expenses, while stockouts resulted in lost sales opportunities and reduced customer satisfaction.
Algorithms: GBMs (e.g., XGBoost, LightGBM) for forecasting; MILP for optimization.
Improved forecast accuracy by 30%, reducing excess inventory.
A data-driven platform powering personalized customer journeys and autonomous vehicle insights—enhancing engagement, improving safety, and delivering real-time intelligence across the automotive lifecycle.