Authors: Emanuele Frontoni Adriano Mancini Primo Zingaretti Marco Contigiani Luigi Di Bello Valerio Placidi
Publish Date: 2016/06/23
Volume: 24, Issue: 3, Pages: 1369-1377
Abstract
The shelf outofstock SOOS problem is relevant for retailers and producers since the absence of products on the shelf can lead to a significant reduction of shoppers and a consequent drop on sales For this purpose it is necessary to study and introduce approaches able to measure and prevent the lack of products on the shelves and thereby promptly ensuring their refill In this context the paper describes the design of an embedded wireless sensor network able to detect in real time a shelf outofstock event In particular we present a shelf detector sensor based on a novel low cost and low power wireless sensor network design that can automatically discover outofstock in a shelf for all the stores of a retail chain The use of an automatic method for detecting products not available on the shelf is the first being installed for a long time in a high number of stores This paper aims to present the hardware infrastructure of the embedded sensor network devoted to real time shelf outofstock management and to demonstrate the feasibility and the scalability of the system discussing interesting results about scalability long life battery based installations and data analysisThis research was partially supported by Regione Marche POR FESR 2014–2020 that founded the project Self Evolving Retail Environments SERE a research project in cooperation between Grottini Lab and Università Politecnica delle Marche We thank our colleagues from Grottini Lab who provided real world installations and expertise that greatly assisted the research
Keywords: