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Current Methods of Data Gathering by Automated Systems in Assisted Retail

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F17%3A43912772" target="_blank" >RIV/62156489:43110/17:43912772 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.kpcbe.cz/images/CONFERENCE_PROCEEDINGS.pdf" target="_blank" >http://www.kpcbe.cz/images/CONFERENCE_PROCEEDINGS.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Current Methods of Data Gathering by Automated Systems in Assisted Retail

  • Original language description

    Knowledge of customers count in any retail store is a must in modern age. It is the main key performance indicator. Most of other indicators are based on this KPI. This paper summarizes current methods of collecting count of customers. It can be done by camera-based counting, specialized counting and security gates, special mobile applications, radio signal measurement, cash-desk systems, customer relationship management systems, installed reporting systems or by employees. This paper also divides stores into clusters by the principle of customer service and suggests best ways for development, easiest or cheapest solutions on how to apply this in new stores.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of 10th International Scientific Conference - Karviná Ph.D. Conference on Business and Economics

  • ISBN

    978-80-7510-265-2

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    116-123

  • Publisher name

    Slezská univerzita v Opavě

  • Place of publication

    Opava

  • Event location

    Karviná

  • Event date

    Nov 1, 2017

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    000583813800011