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Josh Gazes, Senior Vice President – Operations

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Jason Hendrey, Senior Director, Global Customer Services

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Sharang Patil, Director of Group Finance Excellence

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Christopher Lozipone, Senior Vice President and Global Business Services Head

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Nico Barnard, Head of Operations

M&T Bank

Chris Tolomeo, Senior VP & Head of Banking Services

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Khem Balkaran, CIO

Church's Chicken

Louis J. Profumo, CFO & EVP

From Billing Accuracy to Faster Cash Realization: AI-led Freight Billing Transformation

Read | Jul 28, 2026

AUTHOR(s)

A WNS Perspective

Key Points

  • A leading North American Less-Than-Truckload (LTL) carrier sought to strengthen Order-to-Cash (O2C) performance by addressing the operational complexity that undermined billing accuracy, delayed invoice readiness and slowed cash realization.
  • WNS re-imagined freight billing through Artificial Intelligence (AI)-powered intelligent document processing, combining advanced data extraction, automated validation and shipper-specific business intelligence to improve first-time-right billing while preserving operational controls.
  • The transformation established a more intelligent freight billing operation that accelerated invoice readiness, reduced downstream billing exceptions and created a scalable foundation for improved operational visibility and stronger O2C performance.

The Industry Landscape
Re-inventing Freight Billing for Faster O2C Performance

For freight and logistics organizations, billing accuracy directly influences cash flow, customer satisfaction and working capital performance. The complexity of processing diverse shipping documents, customer-specific formats and varying business rules often leads to billing errors that cascade across the O2C lifecycle, resulting in invoice disputes, manual re-work, delayed collections and higher Days Sales Outstanding (DSO).

To address these challenges, leading logistics providers are increasingly adopting AI-powered automation to improve billing accuracy at the source, accelerating invoice readiness and strengthening overall O2C performance.

The Client Challenge
Fixing the Source to Improve O2C Velocity

Seeking to improve its O2C performance, the client embarked on a digital transformation initiative focused on addressing one of the primary causes of delayed cash realization: freight billing inaccuracies.

The firm’s freight billing operation faced two key challenges:

Complex Document Processing

The volume and variability of shipping documentation, primarily Bills of Lading (BoL), made accurate, first-time-right billing increasingly difficult.

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High-volume Processing within Tight Timelines

~60 percent of daily billing volumes arrived within a compressed five-hour processing window, creating operational bottlenecks and increasing error rates.

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Addressing billing accuracy at the source became essential to reducing downstream effort and accelerating cash realization.

The Solution
Deploying an Intelligent Freight Billing Platform

WNS partnered with the client to implement a solution focused on improving first-time-right billing accuracy while preserving existing operational controls. Anchored in WNS Malkom, an AI-powered platform purpose-built for complex freight document processing, the intervention was designed around four integrated capabilities:

Intelligent Document Extraction

1. Intelligent Document Extraction

LLM-powered models, trained on millions of LTL freight bills, extracted data from structured, unstructured and handwritten freight documents with high accuracy.

Automated Data Validation

2. Automated Data Validation

Billing data was enriched and validated using shipper and consignee master data, NMFC codes, ZIP mappings and accessorial reference tables, to ensure billing information was complete, accurate and consistent before invoice creation.

Shipper-specific Business Rules

3. Shipper-specific Business Rules

Configurable rules accommodated individual shipper requirements, enabling accurate interpretation of customer-specific formats and billing policies while minimizing manual intervention.

Operational Efficiency

4. Operational Efficiency

Automated dashboards and reporting capabilities aimed to provide clear visibility into shipment and billing data, for proactive monitoring, agent training and decision-making.

The Outcome
Accelerating Billing Performance and Cash Realization

Improving billing accuracy at the source enabled faster, cleaner invoice generation, reducing billing exceptions, dispute follow-ups and dependency on collections teams. The solution delivered measurable improvements across operational performance while creating downstream benefits throughout the O2C lifecycle, and established a scalable foundation for continued DSO improvement.

Key outcomes included:

Processing speed improvement icon
0 percent

improvement in freight billing data entry processing speed

Freight documents icon
0+

freight documents became analytically accessible, enabling new insights into document and billing patterns across shipments

Annual savings icon
~USD 0 Million

in annual net savings delivered

Training time reduction icon
~0%

reduction in agent training time

FAQs

1. How does AI improve freight billing accuracy?

WNS uses AI-powered Intelligent Document Processing to automatically extract, validate, and enrich freight billing information from Bills of Lading and shipping documents. This improves first-time-right billing accuracy, reduces manual intervention, and accelerates invoice generation.

2. Why is freight billing accuracy important for Order-to-Cash performance?

Accurate freight billing minimizes invoice disputes, reduces rework, accelerates collections, improves Days Sales Outstanding (DSO), and strengthens cash flow. WNS helps logistics organizations improve Order-to-Cash performance by addressing billing accuracy at the source.

3. What challenges do logistics companies face in freight billing?

Logistics organizations manage thousands of document formats, handwritten Bills of Lading, customer-specific billing rules, and compressed processing windows. These complexities often lead to billing inaccuracies, delayed invoices, and slower cash realization.

4. How does WNS Malkom improve freight billing operations?

WNS Malkom combines AI-powered document extraction, automated validation, configurable business rules, and operational dashboards to improve billing accuracy, reduce manual effort, enhance operational visibility, and accelerate invoice readiness.

5. Can AI automate Bill of Lading (BoL) processing?

Yes. AI can process structured, semi-structured, and handwritten Bills of Lading, extract shipment details, validate critical information, and reduce manual data entry while improving processing speed and accuracy.

6. How does freight billing automation reduce disputes?

Freight billing automation validates shipment and billing data before invoice generation, minimizing billing errors, reducing customer disputes, and lowering follow-up efforts for billing and collections teams.

7. How does WNS help reduce Days Sales Outstanding (DSO)?

WNS improves first-time-right billing accuracy and accelerates invoice readiness, enabling organizations to invoice customers faster, reduce disputes, improve collections efficiency, and accelerate cash realization.

8. What measurable business outcomes did WNS deliver?

WNS delivered a 40% improvement in freight billing data entry processing speed, made 30,000+ freight documents analytically accessible, achieved approximately USD 1 million in annual net savings, and reduced agent training time by around 12%.

9. Why should logistics companies modernize freight billing?

Modernizing freight billing improves billing accuracy, reduces manual effort, accelerates invoice generation, strengthens customer satisfaction, improves cash flow, and creates scalable digital operations.

10. Why choose WNS for freight billing transformation?

WNS combines deep logistics domain expertise, AI-powered Intelligent Document Processing, automation, analytics, and Intelligent Operations to modernize freight billing, improve financial performance, and enable end-to-end logistics transformation.