Auction prices change seasonally and trend over time, and time series forecasting captures these patterns to predict future prices based on when you're planning to buy or sell. This helps you time your purchase to avoid seasonal peaks or predict what the market will bear when you're ready to bid.
Time series forecasting applies statistical and machine learning models to sequential data over time, and in the automotive context it is used to predict how wholesale and retail auction prices for specific vehicle makes and models will move across coming weeks or months.
Buyers and sellers who understand this concept can use AI tools to time their purchases or sales more strategically, avoiding overpaying during seasonal demand spikes and identifying windows when inventory surpluses drive prices down.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.