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
- 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
- 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
- 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