Finding correlation between customer typology and sales results in assisted retail using computer vision

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F20%3A43918504" target="_blank" >RIV/62156489:43110/20:43918504 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.magnanimitas.cz/ADALTA/1001/papers/I_machalicky.pdf" target="_blank" >http://www.magnanimitas.cz/ADALTA/1001/papers/I_machalicky.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Finding correlation between customer typology and sales results in assisted retail using computer vision

Popis výsledku v původním jazyce

We use computer vision capabilities to detect several basic attributes reliably recognizable from an image. We also analyze sales data to compare the connection between these data. The results are evaluated on a small sample by a human, and then everything is applied to a large set of data. The purpose of this comparison is to find a correlation with better (worse) sales results with collected data. This can be used to improve the planning of sales capacities, sales plans and other important indicators for retail store management. The article is narrowly focused on assisted retail in telecommunication business. For age and gender detection, the Cortana Analytics Suite from the Microsoft Azure platform is used. For other image recognition problems, custom algorithms have been created. All this has lead to the creation of a tool usable for anyone who wants to understand better who his customers in retail are.

Název v anglickém jazyce

Finding correlation between customer typology and sales results in assisted retail using computer vision

Popis výsledku anglicky

We use computer vision capabilities to detect several basic attributes reliably recognizable from an image. We also analyze sales data to compare the connection between these data. The results are evaluated on a small sample by a human, and then everything is applied to a large set of data. The purpose of this comparison is to find a correlation with better (worse) sales results with collected data. This can be used to improve the planning of sales capacities, sales plans and other important indicators for retail store management. The article is narrowly focused on assisted retail in telecommunication business. For age and gender detection, the Cortana Analytics Suite from the Microsoft Azure platform is used. For other image recognition problems, custom algorithms have been created. All this has lead to the creation of a tool usable for anyone who wants to understand better who his customers in retail are.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Ad Alta

ISSN

1804-7890

e-ISSN

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Svazek periodika

10

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

5

Strana od-do

354-358

Kód UT WoS článku

000562038200061

EID výsledku v databázi Scopus

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