Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Discount or incentive
Reexamination Certificate
2003-08-07
2009-10-13
Jeanty, Romain (Department: 3624)
Data processing: financial, business practice, management, or co
Automated electrical financial or business practice or...
Discount or incentive
Reexamination Certificate
active
07603286
ABSTRACT:
A demand control process (42) includes a price-image computation subprocess (44) and an optimization subprocess (46). The price-image computation subprocess (44) tunes a demand model to both price (76) and non-price (78) demand-parameters. Baseline and trial pricing scenarios (98, 114) are then compiled for a selected set (86) of products and operated upon by the demand model to forecast demand (110, 118) at the specified prices. Revenues (122) are calculated at the baseline pricing scenario (98) using the forecast demand (110), and the revenues (122) are used to calculate weights for compiling summary statistics over the set (86) of products. Price image is then calculated using the values forecast by the demand model so that the resulting price image is responsive to price and non-price demand parameters (76, 78).
REFERENCES:
patent: 5377095 (1994-12-01), Maeda et al.
patent: 5521814 (1996-05-01), Teran et al.
patent: 5630070 (1997-05-01), Dietrich et al.
patent: 5873069 (1999-02-01), Reuhl et al.
patent: 5946662 (1999-08-01), Ettl et al.
patent: 5953707 (1999-09-01), Huang et al.
patent: 6078893 (2000-06-01), Ouimet et al.
patent: 6094641 (2000-07-01), Ouimet et al.
patent: 6308162 (2001-10-01), Ouimet et al.
patent: 6366890 (2002-04-01), Usrey
patent: 6415263 (2002-07-01), Doss
patent: 2002/0065699 (2002-05-01), Talluri
patent: 2002/0107819 (2002-08-01), Ouimet
patent: 2002/0165834 (2002-11-01), Delurgio et al.
Russell “A Price Vector Model of Demand for Consumer Durables: Preliminary Developments”, Dec. 1985, Marketing Science, vol. 4, No. 1. pp. 74-90.
Russell S. Winer (A Reference Price Model of Brand Choice for Frequently Purchased Products) The Journal of Consumer Research, vol. 13, No. 2. (Sep. 1986), pp. 250-256.
Alan (Creating Micro/Marketing Pricing Strategies Using Supermarket Scanner data), Nov. 1997, Marketing Science, pp. 315-337.
Stephen et al (Determinants of Store-Level Price Elasticity), Feb. 1995, Journal of Marketing Research, pp. 17-29.
Doherty “Forecasting the effect of price changes on net revenue across different market segments”, Jan. 1997, Journal of Business Forecasting Methods & Systems v15n4 pp. 7-10, Dialog file 15, Accession No. 01386942.
Russell (A Price Vector Model of Demand for Consumer Durables: Preliminary Developments, Dec. 1985, Marketing Science, vol. 4, No. 1. pp. 74-90.
Anthony et al (Competing on price: the role of retail price advertisements in shaping store-price image), Dec. 1990, ournal of retailing, v66, n4, pp. 1-12.
Winter “A Price Vector Model of Demand for Consumer Durable: Preliminary Developments”, Dec. 1985, Marketing Science vol. 4. No. 1, pp. 74-90.
Dickson & Sawyer, The Price Knowledge and Search of Supermarket Shoppers, Journal of Marketing, vol. 54. Jul. 1990, pp. 42-53.
Cox & Cox, Competing on Price: The Role of Retail Price Advertisements in Shaping Store-Price Image, Journal of Retailing, vol. 66 No. 4 Winter 1990.
Allenby & Lenk, Reassessing Brand Loyalty, price Sensitivity, and Merchandising Effects on Consumer brand Choice, Journal of Business & Economic Statistics, Jul. 1995, vol. 13, No. 3.
Bolton, The Robustness of Retail-Level Price Elasticity Estimates, Journal of Retailing, vol. 65, No. 2 Summer 89.
Pedraja Iglesias, The Components of Total Perceived Price: An Empirical Analysis in Restaurant Services, Published 2002.
Poh & Jasic, Forecasting and Analysis of Marketing Data Using Neural Networks: A Case of Advertising and Promoting Impact, Published Feb. 20, 1995.
Bateman & Munro, A Test of the Theory of Reference-Dependent Preferences, Quarterly Jounral of Economics, May 1997, vol. 112, Issue 2, p. 479.
Jeanty Romain
Meschkow & Gresham PLC
SAP (AG)
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