Customer Assistance Services for Simulated Shopping Scenarios

Authors:
Florian Messerschmidt;Andreas D. Lattner;Ingo J. Timm
Affiliations:
Information Systems and Simulation Institute of Computer Science, Goethe-Universität Frankfurt, Frankfurt/Main, Germany 60054;Information Systems and Simulation Institute of Computer Science, Goethe-Universität Frankfurt, Frankfurt/Main, Germany 60054;Information Systems and Simulation Institute of Computer Science, Goethe-Universität Frankfurt, Frankfurt/Main, Germany 60054
Venue:
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Year:
2009

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Abstract

Providing helpful assistance in shopping scenarios can lead to satisfied customers with the potential for higher customer retention. Different hypotheses addressing the assistance functions and customer types are evaluated by statistical significance tests of agent-based simulation runs. Among others, the results show that the assistance functions lead to reduced shopping durations and a reduced number of forgotten items for our settings.