Every car loses value in a somewhat predictable curve—steep at first, then flattening out—though the rate varies by make, model, and mileage patterns. Mapping depreciation curves over time lets you estimate what a specific car will be worth in three or five years, turning abstract "good resale value" claims into numbers you can actually use to compare long-term ownership costs.
Time series forecasting applies statistical and machine learning models to historical pricing data to project how a specific vehicle model will lose value over months and years, producing a depreciation curve unique to that make, model, trim, and market region.
Understanding these curves helps buyers choose vehicles that retain value longer, helps sellers time their listings for maximum return, and gives negotiators data-backed leverage when discussing fair market price at a dealership.
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