System and method for evaluating residual values of products
First Claim
1. A method to learn residual value factor behavior of leased products, using a learning database containing lease conditions and product characteristics and resale value factors associated therewith, comprising the steps of:
- selecting at least one lease condition or product characteristic of said learning database;
specifying values of said at least one lease condition or product characteristic, determining residual value factors associated with said specified values of said at least one lease condition or product characteristic from said learning database and building a first table storing said specified values of said at least one lease condition or product characteristic and said residual value factors associated therewith;
estimating first residual value factors for records of said learning database from said first table; and
, selecting at least one other lease condition or product characteristic of said learning database, determining residual value factor corrections associated with modalities of said at least one other lease condition or product characteristic from said learning database and said first residual value factors, and building at least one other table storing the modalities of said at least one other lease condition or product characteristic and said residual value factor corrections associated therewith;
wherein said first and at least one other table characterize the residual value factor behavior of the products contained in said learning database.
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Abstract
A method and system to evaluate residual value of leased products, comprising a learning phase and an application phase. Each phase has two steps. The first consists in analyzing lease or product main parameter while the second uses other lease conditions or product characteristics. Analysis is based on a grid wherein several specific points are determined during the learning phase. An extrapolation of these points according to the parameters during the application phase gives a first approximation of residual value, which is adjusted using lease conditions or product characteristics. During the learning phase, the system determines the relevant lease conditions or product characteristics and the associated corrections used during the application phase.
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Citations
19 Claims
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1. A method to learn residual value factor behavior of leased products, using a learning database containing lease conditions and product characteristics and resale value factors associated therewith, comprising the steps of:
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selecting at least one lease condition or product characteristic of said learning database;
specifying values of said at least one lease condition or product characteristic, determining residual value factors associated with said specified values of said at least one lease condition or product characteristic from said learning database and building a first table storing said specified values of said at least one lease condition or product characteristic and said residual value factors associated therewith;
estimating first residual value factors for records of said learning database from said first table; and
,selecting at least one other lease condition or product characteristic of said learning database, determining residual value factor corrections associated with modalities of said at least one other lease condition or product characteristic from said learning database and said first residual value factors, and building at least one other table storing the modalities of said at least one other lease condition or product characteristic and said residual value factor corrections associated therewith;
wherein said first and at least one other table characterize the residual value factor behavior of the products contained in said learning database. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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Specification