About AutoPredict

Accurately forecasts prices of used cars across Australia using leading-edge analytics

About AutoPredict
Accurately Forecast Residual Values

Accurately Forecast Residual Values

Visual Residual Value Curves – Visualise residual value curves against actual resale data including the ability to slice the data by region and time period

Compare Multiple Vehicles – Compare and contrast residual value curves of multiple vehicles to identify cars that hold their value the best

Forecast Residual Values – Calculate residual value forecasts for any age or kilometre combination using an in-built calculator

Gold Standard in Used Car Sales Data​

Gold Standard in Used Car Sales Data​

  • Access residual value curves for every new car in the market – over 2,000 models
  • Unique residual values for every variant based on our proprietary residual value forecasting model
  • Our model ingests over 1 million actual used car sales records to produce RV curves
  • AutoPredict provides superior audit tracking capability – record all changes and searches made by users
  • Ability to adjust residual values multiple ways – vehicle by vehicle, by segment or link vehicles together
Advanced Residual Value Methodology

Advanced Residual Value Methodology

  • Residual value model built based on historical Pickles wholesale auction sales data over the previous 12 months
  • Hedonic multi-variable regressions used to determine optimal combination of variables to predict residual values
  • Over 30 unique variables are utilised in regression modelling to capture trends
  • Final values based on a coefficient matrix – even capturing vehicles with little or no sales data
  • Separate residual value model created for each vehicle segment group
Residual Value Accuracy

Residual Value Accuracy

  • Our proprietary residual value model is back tested and refreshed on a regular basis
  • We benchmark our forecasts against competitors – we regularly outperform the market by a considerable margin
  • Our modelling captures volatility in the market, including ‘black swan’ events
  • Residual values are predicted based on normal and stable market conditions – users can adjust their own residual values to match their risk outlook​
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