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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.

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Warehouse 08

Reduce errors, save time, and optimize your operations

A2Z Scan transforms your document processing using real-time insight and continuous learning.
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Web-based access

Use CHAMP A2Z Scan from any browser, with no installation required.

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Accurate error tracking

Identify and analyze corrections to improve accuracy.

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Third-party integration

Works with external cargo systems to fit your IT environment.

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Revenue growth

Reduces manual effort and improves billing accuracy.

 

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Rapid API implementation

Fast setup via robust APIs minimizes disruption.

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User-friendly
interface

Easy to adopt with a short learning curve.

 

 

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Seamless Cargospot integration

Connects directly to streamline workflows.

 

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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.

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Minimize human error

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

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Increase efficiency

Cut processing time down from 10–15 minutes down to 23 minutes.

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Save time at scale

Achieve time savings of up to 85% across teams.

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Prevent revenue leakage

Catch errors early to avoid costly shipment issues.

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Lower training overhead

Reduce time spent training staff on complex AWB workflows.

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Advanced AI + OCR

Benefit from cutting-edge automation for high-accuracy results.

Automate AWB processing for peak efficiency

3%

average human error rate

80%

time saved by making tasks 2–3 minutes long

+85 %

processing time saved

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