NDLI: Analysis and simulation of sales receipt data in supermarkets

Content Provider	IEEE Xplore Digital Library
Author	Schwenke, C. Vasyutynskyy, V. Kabitzsch, K.
Copyright Year	2011
Description	Author affiliation: Dresden University of Technology, Chair for Technical Information Systems, D-01062 Dresden (Schwenke, C.; Vasyutynskyy, V.; Kabitzsch, K.)
Abstract	For the prediction of product sales, simulations of interactions of different individual customer behaviors in supermarkets are an appropriate approach. In order to parameterize the simulation close to reality, analysis of shopping baskets based on real sales receipt data is one of the key steps. The combination of the data analysis and simulation is in the scope of this paper Analysis of real sales receipt data was done by determining so-called customer prototypes, which are representatives of different customer classes. In order to make the simulation insensitive against short transient changes, longitudinal analysis and clustering was carried out, additionally to the common cross section analysis. Longitudinal analysis was necessary to calculate similarities between shopping basket clusters of different points in time. The resulting stabile customer prototypes then were used to parameterize a supermarket simulation. As result, this paper shows the analysis of consumer data as well as the parameterizing and validation of a supermarket simulation. The combining of data mining with simulation results in a better accuracy of analysis and the ability to evaluate influencing factors that can not be extracted directly through data mining.
Starting Page	1
Ending Page	8
File Size	1101995
Page Count	8
File Format	PDF
ISBN	9781457700170
ISSN	19460759
e-ISBN	9781457700187
e-ISBN	9781457700163
DOI	10.1109/ETFA.2011.6059082
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-05
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Marketing and sales Data mining Data models Prototypes Analytical models Brain modeling Adaptation models
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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