AFM_Filler

Name: AFM_Filler Introduction Video
Uploaded: 2024-04-04T04:30:02Z
Duration: 1 min 33 s
Description: Let customers extract their Α.Φ.Μ data with one click!

AFM_Filler

Develop by 5_Minutes_Logo

$10

/ Month

7 Days Free Trial

Let customers extract their Α.Φ.Μ data with one click!

Order management

Instant data extraction

Auto-complete information

Invoice integration

Checkout efficiency

About AFM_Filler

Launched Feb 20, 2024

Built by 5_Minutes_Logo

Email :

[email protected]

Address

Patras, GR

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Introduction Video

Description

Error-Free Invoices (ΤΙΜΟΛΟΓΙΑ)

Customers who wish to make a purchase with an invoice (Τιμολόγιο) can simply enter their VAT (Α.Φ.Μ) number during checkout. The system will automatically fill in all the required invoicing details (επωνυμία, διεύθυνση, Δ.Ο.Υ. κ.λπ.) using the GOV database, ensuring accuracy and efficiency. After purchase, customer invoice details (Στοιχεία Τιμολογίου) will be listed in their order under 'Notes' for easier management and error-free invoice generation.

Instant invoice (Τιμολόγιο) details with just the Α.Φ.Μ, no extra steps needed.
No manual entry errors, ensuring accuracy.
Speeds up checkout for quicker transactions.
Designed specifically for the Greek market.
Easy integration with any Shopify theme.

Pros

Instant ΑΦΜ data extraction with a single click
Eliminates manual entry errors, ensuring accuracy
Saves time during checkout for faster transactions
Streamlines order management by listing customer details under 'Notes' in the order section
Integrates seamlessly with management systems for easy invoice generation
Minimizes administrative work and enhances operational efficiency
Designed specifically for the Greek market
Easy integration with any Shopify theme

Cons

Limited to the Greek market, reducing its usefulness for international businesses
Dependence on GOV database for data accuracy, which might be a concern if the database is inaccessible or outdated
Potential concerns about data privacy/security, especially if permissions are not well understood by users