Data Aggregation
Built an algorithm that searches the internet for car information from many websites and puts it all in one place for easy use.
Learn how our AI tools helped a traditional car dealership work faster and make smarter decisions when buying and selling cars.
A well-known car dealership with good prices that relied on old-fashioned manual data analysis.
Even though the dealership had loyal customers, they found it hard to quickly gather and study car data from different sources. This made market research and accurate car valuations difficult.
Our AI tool is built to update how car dealerships sort through market data and figure out their car values.
Built an algorithm that searches the internet for car information from many websites and puts it all in one place for easy use.
We introduced additional weights to balance the classes within the model. This helped reduce bias and allowed predictions to be more accurate.
We used XGBOOST, a tree-based machine learning model, to classify cars into affordability categories. We also used advanced data pre-processing techniques to refine the dataset
Using SQL for data mining and combining clustering methods (DB scan, Agglomerative clustering, K-means) with Ensemble learning, our team built a new algorithm. It simplified the analysis of car prices and gave the dealership useful insights, grouping vehicles by their market value accurately.
It came with challenges. But our team’s skills helped us build a new analytics system. This solution gave the dealership an advantage by making buying and selling cars optimal and more flexible. In the end, it changed how they do business digitally.
A 95% accuracy rate in price predictions, significantly improving confidence in buying and selling decisions.
The dealership experienced a remarkable uptick in sales efficiency, with the AI system providing a competitive advantage in a saturated market.
Better inventory management and customer satisfaction, which improved profitability.
This case study shows how AI works in the automotive industry. It explains how data and machine learning can improve how operations run and help respond to market changes. If your business faces similar issues, we can help you make better decisions and plan for the future.