Turkish ground handler Çelebi has implemented CHAMP A2Z Scan, a smart application that automates the conversion from paper to digital Air Waybills and other documents. Using CHAMP’s first 100% AI-based product, Çelebi can dramatically reduce the time associated with manual data entry and comparison, from approximately 3 minutes to 45 seconds through CHAMP A2Z Scan. The data captured through CHAMP A2Z Scan automatically populates into Çelebi’s cargo management system, including its independent platform.
In leveraging CHAMP A2Z Scan, Çelebi enjoys numerous efficiency gains, including streamlined operations, time and cost savings, and decreased manual errors associated with paper-based processes.
Çelebi identified the need to automate the manual data capture of Air Waybills and documents and chose CHAMP A2Z Scan after a market assessment. Not only were they impressed by the capabilities of the tool, but the shared values of innovation and collaboration that unite both CHAMP and Çelebi.
CHAMP and Çelebi worked closely to educate and train staff on how to use AI technology for the best results, and to ensure the CHAMP A2Z solution works for their operations and end users. The extra involvement and investment led to a strong partnership that is sure to lead to exciting developments in the future.
Lucas Fernandez, VP Innovation & Insight from CHAMP said “I’ve thoroughly enjoyed working alongside Çelebi to implement CHAMP A2Z Scan in their operations. It’s fantastic to see their enthusiasm and commitment to digitalization, and their impressive results in leveraging the tool. I look forward to seeing their continued success using innovative software solutions.”
Ahmet Balakci, IT Manager from Çelebi said “We are excited by the impressive results we are seeing through CHAMP A2Z Scan, and the operational efficiencies we have unlocked by leveraging intelligent technology. It has been a pleasure working alongside CHAMP to explore the possibilities CHAMP A2Z Scan holds for our operations, and we look forward to continued digitalization and optimization.”



