average human error rate

CHAMP A2Z Scan
Start leveraging AI and machine learning to automate your paper AWB processing
Is manual data entry wasting your time and resources?
Manual Air Waybill (AWB) data entry is slow, error-prone, and costly. CHAMP A2Z Scan helps airlines and ground handling agents streamline this process using AI-powered Optical Character Recognition (OCR).
Automatically extract, compare, and validate AWB data to eliminate errors, accelerate workflows, and avoid shipment delays.


Reduce errors, save time, and optimize your operations
A2Z Scan transforms your document processing using real-time insight and continuous learning.
Web-based access
Use CHAMP A2Z Scan from any browser, with no installation required.

Accurate error tracking
Identify and analyze corrections to improve accuracy.

Third-party integration
Works with external cargo systems to fit your IT environment.

Revenue growth
Reduces manual effort and improves billing accuracy.

Rapid API implementation
Fast setup via robust APIs minimizes disruption.

User-friendly
interface
Easy to adopt with a short learning curve.

Seamless Cargospot integration
Connects directly to streamline workflows.

Continuous
learning
Learns from corrections to reduce manual intervention.
Faster document handling, more resource, and better financial protection
Leverage AI-powered automation to reduce manual work, improve accuracy, and accelerate your operations.

Minimize human error
Reduce the typical 3% error rate of manual AWB processing.

Increase efficiency
Cut processing time down from 10–15 minutes down to 2–3 minutes.

Save time at scale
Achieve time savings of up to 85% across teams.

Prevent revenue leakage
Catch errors early to avoid costly shipment issues.

Lower training overhead
Reduce time spent training staff on complex AWB workflows.

Advanced AI + OCR
Benefit from cutting-edge automation for high-accuracy results.
Automate AWB processing for peak efficiency
time saved by making tasks 2–3 minutes long
processing time saved
