An Intelligent Sales Assistant for Configurable Products

  • Martin Molina
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2198)


Some of the recent proposals of web-based applications are oriented to provide advanced search services through virtual shops. Within this context, this paper proposes an advanced type of software application that simulates how a sales assistant dialogues with a consumer to dynamically configure a product according to particular needs. The paper presents the general knowledge model that uses artificial intelligence and knowledge-based techniques to simulate the configuration process. Finally, the paper illustrates the description with an example of an application in the field of photography equipment.


Configuration Process Configurable Product Local Inference Assembly Constraint AAAI Spring Symposium 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Terpsidis I., Moukas A., Pergioudakis B., Doukidis G., Maes P.: “The Potential of Electronic Commerce in Re-engineering Consumer-Retail Relationships through Intelligent Agents”. Roger J.Y. et al (Eds.). Advances in Information Technologies: The Business Challenge, IOS Press, 1997.Google Scholar
  2. 2.
    Urban G.L., Sultan F., Qualls W.: “Placing Trust at the Center of Your Internet Strategy” Sloan-Management-Review. vol. 42, No.1, pp. 39–48. ISSN 0019-848X, 2000.Google Scholar
  3. 3.
    Boy, G., Gruber T.R.: “Intelligent Assistant Systems: Support for Integrated Human-Machine Systems” Proceedings of 1990 AAAI Spring Symposium on Knowledge-Based Human-Computer Communication, March 1990, Stanford University.Google Scholar
  4. 4.
    Molina M. “Modeling Commercial Knowledge to Develop Advanced Agent-based Marketplaces for E-commerce” Proc. of the Fifth International Workshop CIA-2001 on Cooperative Information Agents Modena (Italy). Lecture Notes in Artificial Intelligence series, Springer. 2001.Google Scholar
  5. 5.
    Schreiber G., Akkermans H., Anjewierden A., De Hoog R., Shadbolt N., Van de Velde W., Wielinga B.: “Knowledge engineering and management. The CommonKADS methodology” MIT Press, 2000.Google Scholar
  6. 6.
    W.E. Grosso, H. Eriksson, R. W. Fergerson, J. H. Gennari, S. W. Tu, & M. A. Musen: “Knowledge Modeling at the Millennium (The Design and Evolution of Protege-2000)”. Technical Paper No. SMI-1999-0801. Stanford Medical Informatics. Stanford UniversityGoogle Scholar
  7. 7.
    Cuena J., Molina M.: “The role of knowledge modelling techniques in software development: a general approach based on a knowledge management tool” International Journal of Human-Computer Studies. No. 52. pp 385–421. Academic Press, 2000.Google Scholar
  8. 8.
    Molina M., Sierra J.L., Cuena J.: “Reusable Knowledge-based Components for Building Software Applications: A Knowledge Modelling Approach” International Journal of Software Engineering and Knowledge Engineering. vol 9, No. 3, pp 297–317., 1999.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Martin Molina
    • 1
  1. 1.Department of Artificial IntelligenceTechnical University of MadridBoadilla del Monte (Madrid)Spain

Personalised recommendations