All your website vistors are leaving an incredibly vast amount of data (beyond just leads and visits) that are correlated with their purchase interest towards one or more cars in your inventory. Autoscores collects all this data securely and anonymously for future processing.
Autoscores is able to process all the gathered data and previous sales to model and predict future sales. Thus, our models are able to differentiate between cars that are drawing a lot of interest from your clients and cars that are going to sit on your lot for a while.
Autoscores provides you with daily scores for each car in your inventory, letting you know which ones are likely to sell soon and which ones are not attracting purchase interest.
To find out more, check out our FAQ.
We're the first company to data mine your customer's behavior. Why only look at the market when you can learn insights directly from your customers - they buy the vehicles.
We're amazingly accurate. We created our own big data algorithms that are designed to analyze millions of data points and produce highly accurate sales predictions specifically for your inventory.
Autoscores doesn't add any overhead to your dealership. You don't have to enter any info, we do it for you. If you don't want to log in, we'll simply send you an email with vehicles that require your attention.
For the past 12 months, our clients have been raising the price of vehicles that Autoscores reports are generating big buying interest from customers. And they're able to raise the price before receiving any calls or e-mails for the vehicles and sell at the superior price. Before, our clients were limited to pricing their vehicles using market factors - then waiting. Now they don't have to wait because they know what the customers think before the customers contact the dealership.
Thanks to Autoscores, our clients are able to identify which vehicles are not going to sell at their current price. They're able to adjust prices proactively and sell these vehicles before letting another month lapse. Without Autoscores, our clients were stuck lowering prices vehicles after set periods of time.
Our clients can adjust their trade-in offers - higher or lower - based on the selling potential of the trade-in. If similar vehicles in their inventory have high scores in Autoscores, our clients know they can offer a little more for the trade-in if need be. Conversely, trade-ins that have low scores in Autoscores tell our clients to avoid giving too much for a stale vehicle.
Before Autoscores, David was a Program Manager for the Excel Team at Microsoft. His work was focused on bringing Business Intelligence tools to the masses and delivering a compelling experience for Excel as web application. He has bachelor degrees of mathematics and computer science from Rollins College and a master's degree in operations research from Cornell University.
Before Autoscores, Noah was a software engineer at EA Sports, where he worked on the NBA Live franchise as a gameplay engineer. He has bachelor degrees of computer science and mathematics from Rollins College and a master's degree of science from Colorado State University. His graduate work included machine learning, neural networks, and computer science education. Noah has been an avid traveler since graduating college and lived in Spain and South America for close to 3 years. He also has a habit of hiking the highest mountain in any area he lives.
Transparent pricing and no contracts. We bill monthly and you can cancel anytime.
Billing begins 7 days after Autoscores produces the first sales predictions for your account. You will receive an email notification from Autoscores when predictions are first available. Autoscores will not charge you for the initial time needed to train its predictive model for your dealership.