BIJELA KAPA S VIZIROM LADY VELILLA

Referenca 922500

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Opis
Oko Velilla

Bijela kapa sa vizirom za žene. Vrhunac.

Materijal: keper

65% poliester, 35% pamuk.

Gramatura: 190 gr/m ²

Velilla je jedan od najpriznatijih španjolskih brendova koji nudi radnu odjeću poput zaštitne obuće i dobar katalog proizvoda za potrebe industrije, zdravstva i ugostiteljstva.

U IMPOTUSA biramo najbolje robne marke radne odjeće na tržištu.

Naziv kolačića	Davatelj	Svrha	Istek
cookiesplus	https://impotusa.com	Stores your cookie preferences.	1 year
PHP_SESSID	https://impotusa.com	This cookie is native to PHP and enables websites to store serialised state data. It is used to establish a user session and to pass state data via a temporary cookie, which is commonly referred to as a session cookie.	Session
PrestaShop-0b7432b9289785285c20f9b39e1430cb	https://impotusa.com	This cookie helps keep user sessions open while they are visiting a website, and help them make orders and many more operations such as: cookie add date, selected language, used currency, last product category visited, last seen products, client identification, name, first name, encrypted password, email linked to the account, shopping cart identification.	480 hours

Naziv kolačića	Davatelj	Svrha	Istek
TawkConnectionTime	https://impotusa.com	Allows the website to recognise the visitor, in order to optimize the chat-box functionality.	Session
_ga	Google	Registers a unique ID that is used to generate statistical data on how the visitor uses the website.	2 years
_gat	Google	Used by Google Analytics to throttle request rate	1 day
_gat_gtag_UA_*	Google	Used to throttle request rate.	1 minute
_ga_#	Google	Used by Google Analytics to collect data on the number of times a user has visited the website as well as dates for the first and most recent visit.	2 years
_gd#	Google	This is a Google Analytics Session cookie used to generate statistical data on how you use the website which is removed when you quit your browser.	Session
_gid	Google	Registers a unique ID that is used to generate statistical data on how the visitor uses the website.	1 day