People Tracking Technology Use Cases in Brick-And-Mortar Retail

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

Abstract

This paper investigates the application of people tracking technologies within brick-and-mortar stores, offering a literature review on the various use cases these technologies address. The study identifies five primary use cases: “Customer flow analysis”, “Customer/Employee behavior analysis”, “Shopping space management”, “General people counting and tracking”, and “Location-based advertisement”. Camera-based people tracking emerged as the most used technology due to its detailed data capture capability, although privacy concerns and regulatory compliance pose significant challenges. However, complementary people tracking technologies such as Wi-Fi, Bluetooth, RADAR, and LIDAR also find use in specific contexts. The findings underscore the transformative potential of people tracking technologies in brick-and-mortar retail by driving operational efficiency, enhancing customer experience, and improving profitability. However, the paper also emphasizes the need for continued research into real-world applications, privacy safeguards, and cost-effectiveness to fully leverage the benefits of people tracking technologies in retail.
OriginalspracheEnglisch
TitelProcedia Computer Science
UntertitelCENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies
DOIs
PublikationsstatusVeröffentlicht - 11 März 2025
VeranstaltungCENTERIS - International Conference on ENTERprise Information Systems 2024 - Pestana Casino Park Ocean & SPA Hotel, Funchal, Portugal
Dauer: 13 Nov. 202415 Nov. 2024
Konferenznummer: 16

Konferenz

KonferenzCENTERIS - International Conference on ENTERprise Information Systems 2024
KurztitelCENTERIS
Land/GebietPortugal
OrtFunchal
Zeitraum13.11.202415.11.2024

Schlagwörter

  • People tracking
  • Brick-and-mortar retail
  • Customer behavior
  • Retail technology

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