Misplaced product detection using sensor data without planograms

Andreas Solti, Manuel Raffel, Jan Mendling, Giovanni Romagnoli

Publication: Scientific journalJournal articlepeer-review


Accurate and timely provisioning of products to the customers is essential in retail environments to avoid missed sales opportunities. One cause for missed sales is that products are misplaced in the store. This can be addressed by fast and accurately detecting those misplacements. A problem of current detection methods for misplaced products is their reliance on up-to-date planogram information, which is often missing in practice. This paper investigates the effectiveness and efficiency of outlier detection methods for finding misplaced products without planograms. To that end, we conduct simulation studies with realistic parameters for different store parameters and sensor infrastructure settings. We also evaluate the detection methods in a real setting with an RFID inventory robot. The findings indicate that our proposed MiProD aggregation of individual detection methods consistently outperforms individual techniques in detecting misplaced products.
Original languageEnglish
Pages (from-to)76 - 87
JournalDecision Support Systems (DSS)
Publication statusPublished - 2018

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502050 Business informatics

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