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Autovista Stock Optimisation
Maximize your profit by transferring your vehicles

Autovista Stock Optimisation tells the dealership chain which stock cars it should transfer between dealerships to maximize expected profit.

It is not necessary to sell a used car in the dealership to which it was bought. There are many profits to gain from car transfers:

  • Expected profit improves with optimal placing.
  • The stock status of a single dealership does not determine the price offered to a customer.
  • The stock mixture in each dealership corresponds as closely as possible with demand. The customers get what they want.
  • The selling time gets shorter and there’s less need for stocking.
  • Daily decision making gets easier and has more basis on facts.

Efficient Optimising includes

  • Current stock situation and the intended stock status
  • Properties, age and mileage of vehicles
  • Expected selling prices and times
  • Previous sales, market trends and seasonal change
  • Cost of transfer
The optimising model notes effects for each individual dealership so the transfers are made to those dealerships where that particular type of car gives the best profit.

The reports can be produced to include the entire chain or just one individual dealership. So all persons in the organization can get the data that is essential for them.

Transfer price for each vehicle is determined justly so that both the selling and receiving dealership profit from the transfer.

Start using Autovista Stock Optimisation.



Content of the Reports

The transfer recommendations clearly state:
  • How many vehicles and of which type should be transferred to each dealership
  • How much the expected profit for the entire chain would improve if the transfers are done
  • Information according to mark and model: selling speed, stock number, need for stocking, average profit, selling time and change in selling time

Brochure

pdf Autovista Stock Optimisation
 
Related articles:
Calculate the expected value for trade-in prices
Transfer of trade-ins as part of everyday business
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