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PEST: A Knowledge Based System for Product Promotions

Curtis, Tony (1994) PEST: A Knowledge Based System for Product Promotions. Technical report. University of Kent, Computing Laboratory, University of Kent, Canterbury, UK (KAR id:21196)

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In this paper we address the issues involved in developing a knowledge based system (KBS) [Jac90], [Fro86] for constructing promotions of various kinds of produce within supermarkets [R.J89]. We are currently working with a large retail company which supplies both expertise and sample data. Specifically, the system under development is to be used to determine the promotional layout and `worth'' of promotions within the fresh produce section, i.e. vegetables, salads and fruit. `Worth'' translates into a measure of how good the promotion is perceived to be, taking into account direct financial gain as well as more general factors, such as making more customers visit the store. The system is intended to be used by produce buyers as an aid to constructing effective promotions, but will also have users in Higher Education and as a training tool for managers and buyers in retailing.

Item Type: Monograph (Technical report)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 13 Aug 2009 19:44 UTC
Last Modified: 28 May 2019 14:00 UTC
Resource URI: (The current URI for this page, for reference purposes)
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