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An adaptive agent architecture for exogenous data sales forecasting

Includes bibliographical references (leaves 108-111).

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Bibliographic Details
Main Author: Jedeikin, Jonathan
Other Authors: Potgieter, Anet
Format: Thesis
Language:English
Published: Department of Computer Science 2014
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access_status_str Open Access
author Jedeikin, Jonathan
author2 Potgieter, Anet
author_browse Jedeikin, Jonathan
Potgieter, Anet
author_facet Potgieter, Anet
Jedeikin, Jonathan
author_sort Jedeikin, Jonathan
collection Thesis
description Includes bibliographical references (leaves 108-111).
format Thesis
id oai:open.uct.ac.za:11427/6403
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:46:20.871Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
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publisher Department of Computer Science
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spelling oai:open.uct.ac.za:11427/6403 An adaptive agent architecture for exogenous data sales forecasting Jedeikin, Jonathan Potgieter, Anet April, Kurt Computer Science Includes bibliographical references (leaves 108-111). In a world of unpredictability and complexity, sales forecasting is becoming recognised as essential to operations planning in business and industry. With increased globalisation and higher competition, more products are being developed at more locations, but with shorter product lifecycles. As technology improves, more sophisticated sales forecasting systems are developed which require increasing complexity. We tum to adaptive agent architectures to consider an alternative approach for modelling complex sales forecasting systems. This research proposes modelling a sales forecasting system using an adaptive agent architecture. It additionally investigates the suitability of Bayesian networks as a sales forecasting technique. This is achieved through BaBe, an adaptive agent architecture which employs Bayesian networks as internal models. We develop a sales forecasting system for a meat wholesale company whose sales are largely affected by exogenous factors. The company's current sales forecasting approach is solely qualitative, and the nature of their sales is such that they would benefit from a reliable exogenous data sales forecasting system. We implement the system using BaBe, and incorporate a Bayesian network representing the causal relationships affecting sales. We introduce a learning adjustment component to adjust the estimated sales towards closer approximations. This is required as BaBe is currently unable to use continuous data, resulting in a loss of accuracy during discretisation. The learning adjustment additionally provides a feedback aspect, often found in adaptive agent architectures. The adjustment algorithm is based on the mean error calculation, commonly used as sales forecasting performance measures, but is extended to incorporate a number of exogenous variables. We test the system using the holdout procedure, with a 5-fold cross validation data-splitting approach, and contrast the accuracy of the estimated sales, provided by the system, with sales estimated using a regression approach. We additionally investigate the effectiveness of the learning adjustment component. 2014-08-13T19:31:02Z 2014-08-13T19:31:02Z 2006 Master Thesis Masters MSc http://hdl.handle.net/11427/6403 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town
spellingShingle Computer Science
Jedeikin, Jonathan
An adaptive agent architecture for exogenous data sales forecasting
thesis_degree_str Master's
title An adaptive agent architecture for exogenous data sales forecasting
title_full An adaptive agent architecture for exogenous data sales forecasting
title_fullStr An adaptive agent architecture for exogenous data sales forecasting
title_full_unstemmed An adaptive agent architecture for exogenous data sales forecasting
title_short An adaptive agent architecture for exogenous data sales forecasting
title_sort adaptive agent architecture for exogenous data sales forecasting
topic Computer Science
url http://hdl.handle.net/11427/6403
work_keys_str_mv AT jedeikinjonathan anadaptiveagentarchitectureforexogenousdatasalesforecasting
AT jedeikinjonathan adaptiveagentarchitectureforexogenousdatasalesforecasting