Case Study: Skylegs achieves faster, more accurate ID data entry with Regula Document Reader SDK

Regula Improves Data Entry Speed and Accuracy for Skylegs Aviation Management Platform

Skylegs, an aviation management platform, was facing a significant challenge with the manual entry of passenger and crew ID data, a process that was both time-consuming and prone to human error. To elevate customer satisfaction and improve workflow accuracy, Skylegs sought an identity verification solution, ultimately selecting the Regula Document Reader SDK from vendor Regula.

The solution leveraged Regula's extensive document template database to automatically read and extract data from a vast array of global IDs. This implementation dramatically reduced the data entry time from three minutes per document to just a few seconds, eliminating delays and mistakes for Skylegs' 6,500 users and their operator clients.

Skylegs

Maxim Schelfhout

Managing Director