ALM Media, LLC
British Gas
Mosaic Insurance
Oxford Nanopore Technologies
WS Audiology (WSA)
Kiwi.com
Flight Centre
Healius Pathology
Varo Bank
Yorkshire Building Society Group (YBS)
Sharang Patil, Director of Group Finance Excellence
United Airlines
GFG Alliance
Energy Australia
Delaware North
Moneycorp
Prodigy Finance
M&T Bank
Minerals Technologies Inc. (MTI)
Church's Chicken
Faced with the complexities of processing large volumes of Bills of Lading (BoL), a leading North American Less-than-Truckload (LTL) carrier sought a digital document processing solution to enhance efficiency and accuracy. The company needed to address issues around erratic document arrival patterns, workflow distribution and technology gaps to avoid potential delivery delays and increased costs.
The carrier partnered with WNS to leverage its Artificial Intelligence (AI) and Machine Learning (ML) driven platform, WNS Malkom. This end-to-end shipping solution automated BoL ingestion, data extraction and validation, optimizing operations and improving service quality. It delivered:
% Reduction in AHT
Faster document processing led to more timely deliveries.
>% Accuracy
AI-driven automation minimized errors and re-work.
Real-time Monitoring
Enhanced visibility into operations and performance enabled proactive decision-making.
Read the entire case study to discover how AI-powered automation transformed freight documentation for this LTL carrier.
Shipping & Logistics
15 June 2022
Banking and Financial Services
13 June 2025
08 June 2025