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.
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Messerschmidt, F., Lattner, A.D., Timm, I.J. (2009). Customer Assistance Services for Simulated Shopping Scenarios. In: Håkansson, A., Nguyen, N.T., Hartung, R.L., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2009. Lecture Notes in Computer Science(), vol 5559. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01665-3_18
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DOI: https://doi.org/10.1007/978-3-642-01665-3_18
Publisher Name: Springer, Berlin, Heidelberg
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