Intelligent Automation (IA) | UiPath Platform | AI-Driven AP Automation | Transportation & Logistics
A global transportation and logistics organization experienced rapid growth following COVID, resulting in a sharp increase in Accounts Payable invoice volume. Operating across regions, the AP team was responsible for auditing, processing, and paying tens of thousands of supplier invoices annually.
The organization relied heavily on manual processes, which became increasingly difficult to scale. As invoice volumes grew, staff workloads intensified, data quality declined, and delayed payments began to impact supplier relationships and credit standing.
Following the post-COVID surge, the Accounts Payable team struggled to keep pace with growing invoice volumes. Manual auditing and data entry slowed processing times, increased the risk of errors, and placed excessive strain on staff.
As workloads increased, invoice backlogs grew. Payments were delayed, data accuracy suffered, and supplier relationships became strained — even leading to operational disruptions and work stoppages.
The organization needed a scalable, accurate, and reliable way to process invoices without adding headcount or disrupting existing ERP systems.
For the global transportation & logistics company this is the solution which we have provided
To address these challenges, an AI-driven AP invoice processing solution was implemented using robotic process automation, machine learning, and a centralized workbench application.
The solution automated the full invoice lifecycle — from supplier email intake to ERP posting — while allowing AP users to maintain oversight and control. Machine learning handled data extraction, while automation ensured consistency, speed, and accuracy throughout the process.
This approach reduced dependency on manual effort while improving data quality and supplier confidence.
The process begins with supplier invoice submission and flows seamlessly through automated execution:
Suppliers send invoices directly via email, where automation captures and classifies incoming invoices automatically.
The system detects invoice emails and triggers the predefined AP automation workflow without manual intervention.
Machine learning models extract critical invoice data including invoice numbers, dates, amounts, and supplier details.
A custom-built workbench enables AP users to review, validate, and manage invoices, ensuring visibility and control.
Validated invoice data is posted directly into the Transoft ERP system, maintaining accurate financial records and enabling timely payments.
By implementing AI-driven AP invoice automation, the organization transformed a manual, error-prone process into a scalable, efficient operation capable of supporting continued growth.
eAllianceAI is committed to helping organizations achieve business value by creating solutions that fit each customer’s unique requirements and business model by using Agentic Automation, Generative AI, Intelligent Document Processing (IDP) and Robotic Process Automation (RPA).
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