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)
PDF
Language: English |
|
Download this file (PDF/54kB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader | |
Postscript
Language: English |
|
Download this file (Postscript/39kB) |
Preview |
Request a format suitable for use with assistive technology e.g. a screenreader |
Abstract
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: | Reports and Papers (Technical report) |
---|---|
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Mark Wheadon |
Date Deposited: | 13 Aug 2009 19:44 UTC |
Last Modified: | 05 Nov 2024 09:59 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/21196 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):