文章基本信息

标题：Information Management for Intelligent Retail Environment: The Shelf Detector System
本地全文：下载
作者：Emanuele Frontoni ; Adriano Mancini ; Primo Zingaretti 等
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2014
卷号：5
期号：2
页码：255-271
DOI：10.3390/info5020255
语种：English
出版社：MDPI Publishing
摘要：Shelf-out-of-stock is one of the leading motivations of technology innovation in the shelf of the future. The Shelf Detector project described in this paper aims to solve the problem of data knowledge in the shelf-out-of-stock problem. This paper is mainly focused on the information layer of the system and main novelties illustrated in this work are in the information field demonstrating the huge number of insights that can be derived from the use of such a tool able to gather data in real time from the store. The tool presented is the first being installed for a long time in a high number of stores and products, demonstrating the ability to gather data and extract interesting insights. This paper aims to demonstrate the feasibility and the scalability of our system in providing a high number of data and interesting insights for store and marketing teams. The cloud based architecture developed and tested in this project is a key feature of our system together with the ability to collect data from a distributed sensor network.
关键词：out-of-shelf; automatic detection; distributed sensors networks; shelf-detector system