Modern market price intelligence for the automotive industry.

The Auto Price Professional system and daily updated databases offer transparency in the new and used car markets.

Major technology building bricks:
– Purely market driven data: The underlying data used by AC/AS are driven by the extensive automotive market.
– OEM qualified data: All market data objects are verified with the OEM (automotive manufacturer) model reference databases.
– Modern mathematics: Due to the multifold complexity of market price influences (e.g. vehicle specification including optional equipment, region, color, age, mileage, life cycle… etc.), very modern mathematical technologies should be used in the automotive market.
– Proving prices: The pricing of vehicles, is one of the most important parameters for planning and optimization of customer market operations, it is delivered based on a mathematically proven and verified basis. This new level of transparency is determining the best standard in the automotive market and is accepted at least complementary to the traditional smaller excel calculations or human based approaches.

There are four different products available for price determination:

Product 1 -> Average Market Price:

Calculation of the daily market price, possible for each detail car model (incl. trim-line), verifying the influence of up to 160 important variables at the same time, such as extras/options, color, region, etc. etc.
ue to the multifold complexity of market price influences acting at the same time, very modern mathematical technologies are used.
Your benefit: More security by knowing exactly the provable vehicle market value for your car (determined directly by the market, not by so called ‘expert-opinions’).

Product 2 -> Optimal Market Price:

Multi-interest decision optimum, by step-simulation (see the colored thumb-slider on the top).
Optimal decisions result by optimal balancing the multi-sales-interests (Sales-interests: Step 3: “Speedy Gonzales”, Step 6: “Max Gross Margin”, Step 9: “Max Profit/car” and Step 10: “% Return on Invest p.a./park”).

Product 3 -> Dealer Trade-In Price:

Multi-interest decision optimum, by step-simulation (see the colored thumb-slider on the top).
Optimal decisions result by optimal balancing the multi-purchase-interests (Purchase-interests: Step 3: “Speedy Gonzales”, Step 7: “Profit/car”, Step 8: “Competitive DPP” (DPP = Dealer Purchase Price) and Step 10: “Risk of Last Exit Auction”).

Product 4 -> Auction Max Bidding:

Multi-interest decision optimum, by step-simulation (see the colored thumb-slider on the top).
Optimal decisions result by optimal balancing the multi-purchase-interests (Purchase-interests: Step 3: “Speedy Gonzales”, Step 7: “Profit/car”, Step 8: “Alternative typ. Dealer Purchase” and Step 10: “Auction Mission Accomplished”).