Abstract: Systems and methods for search space optimization are provided. The method may include: computing a plurality of first data structures, each representative of wholesale pricing terms for each vehicle in a plurality of vehicles based on information from a plurality of sources; computing a plurality of second data structures, each representative of an approximate deal structure for each vehicle in the plurality of vehicles; computing a plurality of customer tiers, with each customer tier associated with a lender and a likelihood of approval by the lender; generating a reduced set of data structures from the plurality of second data structures based at least on the second data structures and the plurality of customer tiers; generating a plurality of third data structures further reduced from the reduced set of data structures; and computing financing terms for one or more vehicles from the reduced vehicle list based on customer selection.

Abstract: A computer-implemented method comprising, by one or more hardware computer processors configured with specific computer executable instructions, receiving a set of customer parameters representing characteristics of a customer, accessing a catalog containing data on vehicles of a collection of vehicles to obtain vehicle parameters representing characteristics of specific vehicles of the collection of vehicles, generating deal data elements each representing a respective potential deal, each deal data element comprising an association between loan parameters and a vehicle of the collection of vehicles, operating a finance prediction AI on the deal data elements to predict responses of one or more lenders to the respective potential deals represented by the deal data elements for the customer, associating the deal data elements with evaluation scores representing evaluations of the respective potential deals according to an evaluation metric taking into account the predicted bank responses; and selecting a subs