Veyn.ai

Intelligent Document Processing for Logistics Operations

Overview

This case study covers how Autodox automated high-volume data entry for logistics teams handling a mix of handwritten and printed documents. The solution replaced manual keying across bills of lading, proof of delivery, and customs forms with agentic data entry workflows that extract, validate, and post data directly into downstream systems. The result was faster turnaround, lower operating cost, and consistent accuracy at scale, without changing existing logistics software or processes.

The Challenge

A logistics organization was processing over 50,000 documents per day, including
handwritten delivery notes, shipment forms, and printed operational records.

The manual data entry process was slow, costly, and error-prone. Teams struggled with shipment forms, and printed operational records.

Inconsistent handwriting and document formats 

High turnaround times affecting downstream operations 

Frequent data errors leading to rework and delays 

Rising operational costs due to manual effort and staffing needs

Traditional data entry automation tools failed to handle document variability and required constant manual intervention.

The Solution:

The organization implemented Autodox, Veyn’s intelligent document processing and data entry automation solution.
Autodox was used to:

Understand the context and structure of handwritten and printed documents

Automatically extract and interpret relevant information

Complete data entry across operational systems without manual rekeying

Route low-confidence cases for human review to maintain accuracy 

Unlike basic extraction tools, Autodox focused on context-aware processing, enabling reliable automation even with unstructured and handwritten documents.

The Results

With Autodox in place, the logistics team achieved measurable improvements: 

95%+ data accuracy, even across handwritten documents
80% faster processing, significantly reducing turnaround time
50% lower operational costs by minimizing manual data entry and rework 

The automation allowed teams to scale document processing without increasing headcount while maintaining consistency and reliability across daily operations.

Business Impact

Autodox helped the organization move from manual data entry to intelligent automation,enabling faster decision-making, reduced operational risk, and improved efficiency across logistics workflows.

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