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A customer assistance system: optimizing basket cost

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A strong advantage of buying products in on-line shops is a wide choice of alternatives. From customers' point of view it is good to know where to go in order to buy all required products - the entire shopping list - at the best possible price. Making such decisions requires three elements: information where the required products are available, access to price lists in considered shops, and finally, specialized analytical tool that could find the minimal subset of shops where all the products from the customers' shopping list could be bought at the lowest price. In the paper we propose the mini-mini algorithm and describe a web-based customer assistance system dedicated to pharmacy shopping that helps customers find shops in a geographically defined range where the entire shopping list could be realized at the best price total. The same algorithms might be applied to other applications optimizing Internet shopping where the cost of basket delivery is negligible when compared to product prices.
Rocznik
Strony
59--69
Opis fizyczny
Bibliogr. 11 poz.
Twórcy
autor
  • Poznan University of Technology, ul. Piotrowo 2, 60-965 Poznan, Poland
Bibliografia
  • [1]Gemius, S.A. E-Commerce in Poland, 2008, http://gemius.pl/pl/raporty/2008-06/03.
  • [2]Pew Internet & American Life Project. On-line Shopping, 2008, http://www.pewinternet.org/pdfs/PIP On-line Shopping.pdf.
  • [3]Klein S., The Emergence of Auctions on the World Wide Web, in: Shaw M. et al. (eds.) Handbook on Electronic Commerce, Springer-Verlag, Berlin-Heidelberg, 2000, 627-645.
  • [4]Vulkan N. The Economics of E-Commerce. A Strategic Guide to Understanding and Designing the On-line Marketplace, Princeton University Press, Princeton, New Jersey 2003, 149-178.
  • [5]Liang T.P., Huang J.S. An Empirical Study on Consumer Acceptance of Products in Electronic Markets: A Transactional Cost Model, Decision Support Systems, 21, 1998.
  • [6]Lee, H.G. Do Electronic Marketplaces Lower the Prices of Goods?, in: Communications of the ACM 41 (1), 1998, 73-80.
  • [7]Satzger B., Endres M., Kielssing W. A Preference-Based Recommender System in: Baukhnecht K. et al. (eds.), E-Commerce and Web Technologies, LNCS 4082, Springer-Verlag, Berlin Heidelberg, 2006.
  • [8]Klopotek M., Wierzchon S, et al., Map-Based Recommendation of Hyperlinked Document Collection in Bauknecht K. et al. (eds.), EC-Web 2006, LNCS 4082, Springer-Verlag, Berlin Heidelberg 2006, 1-10.
  • [9]Wojciechowski A., Supporting Social Networks by Event-Driven Mobile Notification Services in Meersman Z. et al. (eds.), OTM 2007 Ws, Part I, LNCS 4805, Springer-Verlag, Berlin Heidelberg 2007, 398-406.
  • [10]Virtual pharmacy shopping optimiser, www.free.linuxpl.com/pharmacist, April 2008.
  • [11]Czechowski J., Distributed System for Customer Basket Optimization, master thesis, supervisor: Wojciechowski A., Poznan University of Technology, Poland, 2007 [in Polish].
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPP1-0093-0016
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