Abstract: Example embodiments relate to net utility determinations based on product replacement and coverage decisions of a customer. In example embodiments, a number of net utility values corresponding to each possible product replacement decision and each possible coverage decision in each of a plurality of time periods is determined. An expected net utility attributable to the customer over the plurality of time periods is then determined based on the determined utility values.

Abstract: A system includes an intersection engine to determine intersection points between multiple first functions, each first function corresponding to a product from a plurality of products and each first function based on the corresponding product's utility and profit at a given price point. The system further includes a first ranking engine to rank the intersection points and a second ranking engine to rank the first functions based on the intersection points. The system further includes a solving engine to solve a second function based on a subset of the ranked functions to determine a subset of the products to include in a product portfolio and a price for each product in the portfolio to maximize profit for the plurality of products.

Abstract: A plurality of efficient assortments may be determined for a plurality of products. One of the efficient assortments may be identified based on a strictly decreasing convex function.

Abstract: Methods, systems, and computer-readable and executable instructions are provided for estimating semi-parametric product demand models. Estimating a semi-parametric product demand model can include identifying a set of products from input market sales data, analyzing the market sales data to determine a relationship between a plurality of factors of the set of products, and estimating the semi-parametric product demand model based on the determined relationship using iterative estimation of a plurality of incremental data trees.

Abstract: Methods, systems, and computer-readable and executable instructions are provided for determining a product price. Determining a product price can include determining an initial market attraction value, a market price sensitivity, and cost information for a product. Determining a product price can also include receiving a market constraint with respect to the product and pricing the product based on the initial market attraction value, the market price sensitivity, the cost information, and the market constraint.

Abstract: Parent node data is split into first and second child nodes based on a first partition variable to create a tree-based model. A first regression model for the first child node data relates the response variable and the predictor variable.

Abstract: Systems, methods, and machine-readable and executable instructions are provided for profit comparison. Profit comparison can include determining a first profitability function of a flexible duration extended warranty offering with respect to a first plurality of warranty parameters and determining a second profitability function of a fixed duration extended warranty offering with respect to a second plurality of warranty parameters. Profit comparison can also include comparing the first function and the second function for at least one level of at least one of profit lift and flexible duration warranty offering coverage duration. Presenting results of the comparison for a range of values of the first and second plurality of warranty parameters can also be included in profit comparison.

Abstract: Systems, methods, and computer-readable and executable instructions are provided for pricing open-list warranties. Pricing open-list warranties can include determining an expected product support cost of a provider of an open-list warranty to a customer over a time period, determining an expected product repair cost of the customer over the time period, and pricing the open-list warranty for the time period based on the expected product support cost and the expected product repair cost.

Abstract: A maximum expected value of a residual value warranty for a product to a customer is determined. An expected cost to a provider to support the residual value warranty for the customer is determined, based on the maximum expected value of the candidate residual value warranty to the customer. The expected profitability of the candidate residual value warranty is determined based on the expected cost.

Abstract: Systems, methods, and machine-readable and executable instructions are provided for making an extended warranty coverage. Making an extended warranty decision can include determining by a computer, a customer's expected cost of terminating the extended warranty coverage, determining, by the computer, the customer's expected cost of continuing the extended warranty coverage, and comparing, by the computer, the expected cost of terminating the extended warranty coverage and the expected cost of continuing the extended warranty coverage. Making an extended warranty decision can also include determining, by the computer, the extended warranty coverage decision based on the comparison.

Abstract: Systems, methods, and machine-readable and executable instructions are provided for profit comparison. Profit comparison can include determining a first profitability function of a flexible duration extended warranty offering with respect to a first plurality of warranty parameters and determining a second profitability function of a fixed duration extended warranty offering with respect to a second plurality of warranty parameters. Profit comparison can also include comparing the first function and the second function for at least one level of at least one of profit lift and flexible duration warranty offering coverage duration. Presenting results of the comparison for a range of values of the first and second plurality of warranty parameters can also be included in profit comparison.

Abstract: Example embodiments relate to net utility determinations based on product replacement and coverage decisions of a customer. In example embodiments, a number of net utility values corresponding to each possible product replacement decision and each possible coverage decision in each of a plurality of time periods is determined. An expected net utility attributable to the customer over the plurality of time periods is then determined based on the determined utility values.

Abstract: A system and method for determining the optimum price that a service provider should charge to customers of at least a partially refundable extended-product warranty to optimize profits generated from providing such warranties. In one aspect of the present invention the customer may elect to purchase warranty coverage when the product is new and cancel warranty coverage at any time thereafter, which election is based in part on the customer's expected discounted net utility from his coverage decisions. In another aspect of the present invention, the customer is allowed to make dynamic repair or replacement decisions in each period based on the product's failure status or on other criteria. In one embodiment, the customer can be afforded warranty coverage flexibility in terms of his ability to turn coverage off whenever desired and to obtain a partial refund of the warranty premium.

Abstract: A system and method for determining the optimum price that a service provider should charge to customers of a periodic extended-product warranty to optimize profits generated from providing such warranties. In one aspect of the present invention the customer is allowed to elect or to cancel warranty coverage on a monthly basis which election is based in part on the customer's expected net utility from his coverage decisions. In one embodiment, the customer can be afforded complete warranty coverage flexibility in terms of his ability to turn coverage on and off whenever desired. In another aspect of the present invention the customer can be allowed to make dynamic repair or replacement decisions in each period based on the product's failure status or on other criteria.

Abstract: The present disclosure is directed to product warranties having a residual value and a potential rebate based on the residual value. The residual value can thus be inversely related to the number of claims filed against the warranty.