Human-centric pricing are limited in the scope of factors one can consider at once. Machine learning algorithms can be used to accurately predict how customers will react to certain prices and forecast demand for a given product. Price optimization considers all of this information, and comes up with the right prices for thousands of products.
With the help of machine learning and artificial intelligence, we are able to identify patterns that were unknown to the industry. Clustering helps automakers and dealers to improve their understanding of customer base, target areas, and segment customers based on purchase history, interests, and vehicle configurations.