Utánvét Ellenőr

Develop by Shopify

$15-$60

/ Month

14 Days Free Trial

Prevent unclaimed parcels by checking customer reliability before shipping.

Data sharing

Gdpr-compliant

Automatic operation

Reliability check

Email address filtering

About Utánvét Ellenőr

Launched May 12, 2025

Built by Shopify

Address

114 W. 17th Street, New York, NY, 10011, US

Website Support Portal Privacy policy Tutorial FAQ Document

Related Categories

Claim Offer

ZB: Exit Intent Pop up Window

(23 Reviews)

Claim Offer

Sponsored

Simple and reliable popups to promote sales and capture...

Description

Utánvét Ellenőr helps you minimize loss caused by fraudulent or unclaimed cash on delivery packages.

Utánvét Ellenőr is the solution to the problem of unclaimed parcels: it allows you to check the reliability of your customers before you ship their cash on delivery orders. The system works with the data shared by all the online shops using Utánvét Ellenőr, providing accurate and reliable forecasts. It helps you reduce the number of unclaimed parcels, minimising your shop's losses and logistics costs.

GDPR-compliant, privacy-secure solution
Reliability score based on past customer behaviour
Data sharing between webshops using Utánvét Ellenőr
Automatic operation in the background, requiring minimal intervention
Filtering of non-existent or disposable email addresses

Pros

Helps reduce the number of unclaimed parcels.
Minimizes shop's losses and logistics costs.
Provides accurate and reliable forecasts based on shared data.
GDPR-compliant and privacy-secure solution.
Automatically operates in the background with minimal intervention required.
Offers reliability score based on past customer behavior.
Filters non-existent or disposable email addresses.

Cons

Requires data sharing among online shops using the app, which might raise confidentiality concerns.
Effectiveness is contingent on the volume and accuracy of data shared by other webshops.
May not be effective for new customers with no past behavior data.
Relies heavily on algorithms which might mistakenly flag reliable customers.