Client Success Story

Streamlining Air & Sea Freight Document Processing for a Global Logistics Provider

98.5 %

Data Accuracy Rate

4,500 +

Documents Processed Monthly

60 %

Reduced Turnaround Time

Service

  • Data Processing
  • Intelligent Document Processing

Industry

  • Logistics & Freight Forwarding
THE CLIENT

A Logistics Service Provider Operating across Global Trade Routes

The client is an Israel-based logistics service provider specializing in international air and sea freight forwarding. Their operations span global trade corridors, managing the movement of cargo across multiple shipping lines, airlines, and destination countries. The business handles a wide range of shipment documentation daily — Bills of Lading, Air Waybills, commercial invoices, and packing lists — as part of their core freight management operations through a proprietary logistics portal.

PROJECT REQUIREMENTS

Digitizing Thousands of Freight Documents into a Centralized Portal

The client required end-to-end freight document processing support to convert unstructured shipping documents into clean, structured data entry within their proprietary logistics portal. As their operations scaled, the manual effort required to process, digitize, and structure these freight documents into their internal portal became a significant operational bottleneck. They needed a reliable data processing services partner who could handle the volume, complexity, and speed their business demanded.

The scope covered three core document types:

  • Air Waybills (AWB) processing
  • Ocean Bills of Lading (B/L) data processing
  • Freight Invoice Processing

For each document, the team needed to extract key shipment details, including shipper and consignee information, port of loading and destination, container and cargo descriptions, shipment dates, and invoice line items. These data points had to be manually reviewed, validated, and entered into predefined templates on the portal, in accordance with strict formatting and accuracy guidelines. Every entry had to be submission-ready, as certain fields on the portal could not be modified after submission.

PROJECT CHALLENGES

Illegible Scanned Documents, Unfamiliar Terminology, and Tight Deadlines

Most document processing projects share a common assumption: that the documents themselves follow a predictable structure. This project did not have that luxury. The client's global network meant that every shipping line, customs authority, and freight partner introduced its own format, terminology, and data quality standard — turning what appeared to be a straightforward data entry operation into a problem of interpretation at every step.

  • Non-Standardized Document Formats

    The client worked with shipping lines and freight partners across dozens of countries. Each source used different layouts, terminology, and data placement conventions for their Bills of Lading and Air Waybills. This inconsistency made it difficult to build a single data extraction workflow, as every document required individual interpretation.
  • Poor Quality Scans and Incomplete Documents

    A significant portion of the documents arrived as low-resolution scans, blurry images, or pages that were partially missing. Critical fields such as container numbers, cargo weights, and consignee addresses were often illegible or absent, requiring cross-referencing with supplementary documents or email correspondence.
  • Complex Logistics Terminology

    The project required interpreting specialized freight terminology, including Incoterms (International Commercial Terms), container type codes, vessel names, and carrier-specific abbreviations. Without prior domain expertise, there was a high risk of misinterpretation, which could cascade into incorrect data entries across dependent fields.
  • Irreversible Portal Submissions

    The client's logistics portal locked specific fields permanently after submission, with no option to edit or override. This meant that we could not correct even a single misplaced container number, an incorrectly formatted date, or a transposed digit in a cargo weight without raising a support request with the client.
  • Multi-Source Data Fragmentation

    Shipment information was rarely contained in a single document. Key data points were often spread across an invoice, a Bill of Lading, and an accompanying email, requiring the team to cross-verify multiple sources before making a single portal entry.
  • Tight Turnaround Requirements

    The client operated under strict document processing deadlines. Air Waybill entries, for example, had to be completed within 2 hours of receiving the email. This left little room for rework and demanded a process that was both fast and accurate from the first pass.
OUR SOLUTION

Building Freight Expertise from Scratch and Converting It into a Repeatable Process

Our team started the engagement with no prior experience in air or ocean freight documentation — and that gap became one of the project's defining milestones.

1

Acquiring Domain Expertise

Within the first few weeks, team members systematically studied international logistics workflows, freight billing management conventions, and carrier-specific document structures. They cross-referenced live project documents against industry standards for Incoterms, container classifications, and waybill formatting until the knowledge was operational — meaning they could interpret an unfamiliar Bill of Lading from a new shipping line without escalation.

2

Process & SOP Formalization

We immediately formalized the acquired expertise. The team developed detailed Standard Operating Procedures for each of the three document types: Air Waybills, Ocean Bills of Lading, and freight invoices. These SOPs standardized how fields were identified, how ambiguous entries were resolved, and how edge cases — such as multi-leg shipments or split invoices — were handled. The result was a process that did not depend on individual knowledge but could be transferred to new team members as the operation scaled.

3

Document Collection

The client shared scanned PDFs, images, and supporting documents as email attachments through Microsoft Outlook. Each batch was triaged by document type and assigned to the relevant data processing queue.

4

Data Extraction

We used OCR tools for the initial text recognition and for converting scanned documents into editable text. Our team then reviewed and corrected fields with the lowest OCR reliability, such as handwritten entries, low-resolution scans, and non-Latin character sets.

5

Data Entry

The extracted data was entered into the client’s proprietary logistics portal using predefined templates for AWB, ocean freight, and invoice workflows. Variant-specific fields such as container details, cargo descriptions, and freight charges were populated as per strict formatting guidelines.

6

Pre-Submission Quality Check

Since certain portal fields locked permanently after submission, a separate QA person audited each entry for field completeness, formatting compliance, and logical consistency — for example, verifying that port codes matched the stated shipping route, or that cargo weights aligned across the invoice and Bill of Lading — to ensure field-level correctness before final submission.

PROJECT OUTCOMES

Within six months, we had transitioned from a standing start in freight document processing to managing documents (AWB, BOL, invoice data validation) at a pace and accuracy level that matched the client's internal benchmarks. The combination of structured domain learning, codified SOPs, OCR-assisted extraction, and a mandatory pre-submission QA layer created a system that was fast enough to meet the 2-hour AWB deadline and rigorous enough to deliver 98.5% accuracy across all document types

98.5% Data Accuracy Rate Achieved consistently across AWB, Bill of Lading, and invoice entries, meeting the client’s quality benchmarks from the early stages of the project.

60% Reduction in Turnaround Time Average processing time cut by 60% from initial engagement benchmarks through SOP standardization and OCR-assisted extraction.

3x Team Scale-Up Grew from 2 members processing AWBs to a 6-person team handling 3x the volume across three document types (air, ocean, and freight invoice processing) in under 12 months.

4,500+ Documents Processed Monthly The team reached a steady-state volume of over 4,500 freight documents processed per month across all three document categories.

Zero Post-Submission Corrections The pre-submission QA process ensured that locked fields were accurate on the first attempt, eliminating rework and client-side support escalations.

CONTACT US

Freight Documents Piling Up? Let Our Data Processing Team Handle the Volume

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Our freight document processing services are engineered around AI-first extraction, intelligent document processing, exception routing to domain experts, and multi-tier human QA — designed to reduce your per-document time while increasing first-pass accuracy. Additionally, SunTec India operates as an extension of your team, not only as a dedicated back-office support structure embedded within your workflows and operational stack, but also as a technology partner.

Whether you need freight bill processing, invoice data validation, end-to-end shipment document digitization, or automated AI agents for your logistics operations, we deliver. Contact us to know more about AI-enabled data processing services for your logistics documentation.