Computer-implemented product valuation tool

• US 7,660,736 B2
• Filed: 09/20/2006
• Issued: 02/09/2010
• Est. Priority Date: 11/19/1997
• Status: Expired due to Fees

• Current Assignee: JDA Software Group Incorporated (Panasonic Holdings Corporation)
• Original Assignee: i2 Technologies US Incorporated (Panasonic Holdings Corporation)
• Inventors: Kalyan, Vibhu K.
• Primary Examiner(s): Nguyen, Nga B.
• Application Number:
  US11/524,153
• Publication Number:
  US 20070078790A1
• Time in Patent Office: 1,238 Days
• Field of Search: 705/5, 705/6, 705/10, 705/26, 705/27, 705/35, 705/36, 705/37, 705/8, 705/28
• US Class Current: 705/7.35
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 10/025 Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0206 Price or cost determination based on market factors
• CPC Class Codes: G06Q 30/0601 Electronic shopping [e-shopping]
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: G06Q 50/188 Electronic negotiation

Abstract

A method of valuing products based on demand probabilities. Products are designed by identifying product components, and combining the components in various combinations to provide standard and non-standard products. Components are valued using an algorithm that considers demand probability as well as known prices of standard products. The component values are added to determine product values and may be used to make pricing and order fulfillment decisions.

Claims

1. A computer-implemented method of pricing an order for a product based on varying lead times during a specified time period, comprising:

calculating, by a computer system, a set of values for a product over a range of available supplies of the product;

determining, by the computer system, a size Q of the order;

selecting, by the computer system, a set of order points during a time horizon, each order point having a lead time LT to the next order point;

for a first order point, calculating, by the computer system, an incremental production quantity as Q/LT, and calculating, by the computer system, revenue displaced by the incremental production quantity using the product values;

repeating the preceding act for each other order point;

calculating, by the computer system, an average displaced revenue; and

calculating, by the computer system, the price for the order, using the results of the preceding act.

2. The method of claim 1, wherein the product has multiple components.

3. The method of claim 2, further comprising repeating all acts for each component and summing, by the computer system, the results.

4. The method of claim 1, wherein the product has multiple components and calculating the price for the order further comprises:

(a) assuming a beginning value for each component;

(b) for a first component, calculating prorated values, such that for each product using that component, a prorated value is calculated on that component by calculating the difference between the product price and a value of the product'"'"'s other components;

(c) calculating a component value as a function of the prorated values and the probability values;

(d) repeating acts (b) and (c) for all other components;

(e) determining whether the component values converge;

(f) if any component value does not converge, using the calculated component value as the beginning component value and repeating said acts (b) through (e) for that component; and

(g) summing the values of all the components.

5. The method of claim 1, wherein the displaced revenue is calculated by integrating a curve representing the set of product values.

6. The method of claim 1, wherein the displaced revenue is calculated as the difference between a total potential revenue, determined from the product values for all available supplies S, and the total potential revenue for S-Q.

7. A computer-implemented method of pricing make-to-order products, comprising:

assigning, by a computer system, a demand probability value to each of a plurality of products, each product having an associated delivery time and price;

calculating, by the computer system, an expected revenue from the products for at least two available capacities, the expected revenue being a function of the demand probability values and the prices; and

calculating, by the computer system, an asking price for each of the products as the difference between its expected revenue from successive available capacities.

8. The method of claim 7, wherein the expected revenue is calculated as a sum of products of the probability values and the prices.

9. The method of claim 7, wherein the expected revenue is calculated from a binary tree representing the probability values and the prices.

10. The method of claim 7, wherein the expected revenue is calculated for each product in response to a product control policy.

11. The method of claim 7, further comprising comparing, by the computer system, the asking price for different products at a given capacity.