Customer behavior analytics using an autonomous robotics-based system

Alexander Petrovsky, Ivan Kalinov, Pavel Karpyshev, Mikhail Kurenkov, Vladimir Ramzhaev, Valery Ilin, Dzmitry Tsetserukou

Результат исследований: Глава в книге, отчете, сборнике статейМатериалы для конференциирецензирование

10 Цитирования (Scopus)

Аннотация

This paper suggests a novel method for customer behavior analytics and demand distribution based on Radio Frequency Identification (RFID) stocktaking. Existing solutions lack applicability to real-life situations in retailing, which may result in unobservable loss of sales. The proposed solution provides new parameters of demand distribution to the retailer using a mobile robot for autonomous stocktaking of RFID-equipped shopping rooms. Built models depict location-related demand dependencies, the most and the least purchasable areas in a store, and precise localization of lost and moved items. Our research differs from the related works by the sheer size of the underlying data set collected in a real-world environment for more than ten months.

Язык оригиналаАнглийский
Название основной публикации16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы327-332
Число страниц6
ISBN (электронное издание)9781728177090
DOI
СостояниеОпубликовано - 13 дек. 2020
Событие16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020 - Virtual, Shenzhen, Китай
Продолжительность: 13 дек. 202015 дек. 2020

Серия публикаций

Название16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020

Конференция

Конференция16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020
Страна/TерриторияКитай
ГородVirtual, Shenzhen
Период13/12/2015/12/20

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