Order processing automation with AI Agents
Context
Managing a high number of low-volume customers presents a significant challenge, especially when those customers rely on non-EDI formats. These fragmented, inconsistent order formats create endless exceptions, making automation difficult. Traditional automation falls short because it struggles to integrate each customer’s unique business logic, forcing employees to handle a lot of exceptions manually. Agentic automation changes the game. By dynamically understanding context, identifying discrepancies, and reasoning through decisions, AI Agents minimize human intervention and turn exception-heavy processes into seamless, automated workflows.
Challenge
Managing customer orders is a major challenge for suppliers, as customers demand seamless order processing, whether via structured EDI or fragmented non-EDI. Unlike structured EDI orders, non-EDI orders which are usually received over email are fragmented, inconsistent, and require extensive manual effort. Each customer sends purchase orders in different formats, making order processing a massive operational burden. Without automation, suppliers struggle with:
- Time-consuming manual processing - Teams must extract, clean, and validate order data from PDFs, spreadsheets, and emails, delaying fulfilment
- Exception overload - Each customer has its own business logic for unit measurement, pricing structures, and order confirmations, leading to frequent manual interventions that take a lot of time and often generate errors.
- Customer satisfaction pressure - Customers expect their unique requirements to be met flawlessly, making error-free processing a critical KPI for suppliers.
- Scalability challenges - As order volume increases, processing non-EDI orders manually becomes unsustainable and costly.
Solutions
To eliminate manual bottlenecks, Nordoon deployed a suite of AI Agents to automate order processing, seamlessly integrating non-EDI workflows.
AI-powered processing for non-EDI orders
The AI Agents inspected POs in any format (PDFs, Excel, emails, etc.), extracted, cleaned, and structured order data with the help of advanced Large Language Models (LLMs). By understanding and applying each customer’s unique business logic, they processed orders with human-like accuracy but at machine scale. They normalized units, quantities, and SKU codes, ensuring accuracy before seamlessly pushing structured data into the ERP system.
Adaptive business logic integration
With adaptive business logic integration, our solution ensured that every order conformed to the customer’s unique requirements, no matter how complex. This agentic capacity reduced exceptions, minimized manual intervention, and kept order fulfillment smooth and efficient.
Results
20,000 processed orders per month
Seamless automation: 20,000 orders were handled monthly with AI Agents, eliminating manual inefficiencies.
Operational time reduced by 80%
From hours to minutes, our AI Agents slashed order processing time, letting teams focus on strategy, not spreadsheets.
Scalable processing capacity
With 95% automation of non-EDI order processing and minimal human intervention required, the client could handle growing order volumes without increasing headcount.
Stronger customer relationships
Faster order fulfilment and accurate processing improved customer satisfaction and retention.
