The Myth of Streamlining Order Processing: Why Document Extraction Alone Isn't Enough

Understanding the Complexity of Order Processing

When considering order processing, many assume it to be a straightforward, standardized procedure. However, order processing can have subtle or substantial differences among companies. Many promote generic products that ultimately cannot serve the individual needs of each business, leading to inefficiencies and complications. However, the reality is far more complex. Order processing is never a one-size-fits-all task. Our extensive experience with clients (read our case study with Depeler about order processing) has shown that even standard processes, such as handling orders or invoices, often come with numerous customer-specific requirements and exceptions. In many cases, the exceptions are more common than the rules.

The Challenges of Traditional Solutions

Order processing faces numerous challenges, including the lack of standard formats, missing information, and misaligned data with ERP systems. Additionally, there are often custom requirements and rules for each order. For instance, specific additional information about ordered items may need to be added depending on the case. Alternatively, the correct variant of an item must be identified, or customer data must be matched and adjusted. Traditional off-the-shelf products cannot handle such scenarios effectively. At best, they can extract certain raw data from documents, but this still requires extensive manual processing, limiting the savings in work, time, costs, and stress.

The Need for Adaptive Solutions

To truly streamline order processing workflows, businesses need adaptive automation solutions that can handle the unique requirements and exceptions of each order. These solutions should not only extract data but also intelligently process and integrate it into existing workflows, ensuring accuracy and efficiency. They must be capable of learning from new data and feedback to adapt to changing requirements over time.

automaited comes into play by intelligently automating order processing with adaptive AI. Our advanced solution goes beyond basic document extraction, using adaptive AI to understand and process the unique requirements and exceptions of each order. This intelligent automation ensures that data is accurately extracted, processed, and seamlessly integrated into existing workflows, reducing the need for manual intervention and enhancing overall efficiency and accuracy.

There is no standard order processing 

Order processing is far from a standardized procedure. It requires adaptive, intelligent automation solutions that can handle the complexities, subtleties and exceptions inherent in each order. By leveraging advanced automation technologies, businesses can significantly reduce manual intervention and achieve greater efficiency and accuracy in their order processing workflows. Key features to consider include fast, one-shot training and the flexibility and ease in training the system. Additionally, linking the automation to ERP systems for validation and data transfer is crucial. Traditional rule-based EDI or OCR solutions fall short in addressing these needs, highlighting the importance of adopting advanced, adaptive automation.

Key Takeaway: Document extraction alone is insufficient for effective order processing. Adaptive, intelligent automation solutions are necessary to handle the complexities and exceptions of real-world order processing scenarios.

Understanding the Complexity of Order Processing

When considering order processing, many assume it to be a straightforward, standardized procedure. However, order processing can have subtle or substantial differences among companies. Many promote generic products that ultimately cannot serve the individual needs of each business, leading to inefficiencies and complications. However, the reality is far more complex. Order processing is never a one-size-fits-all task. Our extensive experience with clients (read our case study with Depeler about order processing) has shown that even standard processes, such as handling orders or invoices, often come with numerous customer-specific requirements and exceptions. In many cases, the exceptions are more common than the rules.

The Challenges of Traditional Solutions

Order processing faces numerous challenges, including the lack of standard formats, missing information, and misaligned data with ERP systems. Additionally, there are often custom requirements and rules for each order. For instance, specific additional information about ordered items may need to be added depending on the case. Alternatively, the correct variant of an item must be identified, or customer data must be matched and adjusted. Traditional off-the-shelf products cannot handle such scenarios effectively. At best, they can extract certain raw data from documents, but this still requires extensive manual processing, limiting the savings in work, time, costs, and stress.

The Need for Adaptive Solutions

To truly streamline order processing workflows, businesses need adaptive automation solutions that can handle the unique requirements and exceptions of each order. These solutions should not only extract data but also intelligently process and integrate it into existing workflows, ensuring accuracy and efficiency. They must be capable of learning from new data and feedback to adapt to changing requirements over time.

automaited comes into play by intelligently automating order processing with adaptive AI. Our advanced solution goes beyond basic document extraction, using adaptive AI to understand and process the unique requirements and exceptions of each order. This intelligent automation ensures that data is accurately extracted, processed, and seamlessly integrated into existing workflows, reducing the need for manual intervention and enhancing overall efficiency and accuracy.

There is no standard order processing 

Order processing is far from a standardized procedure. It requires adaptive, intelligent automation solutions that can handle the complexities, subtleties and exceptions inherent in each order. By leveraging advanced automation technologies, businesses can significantly reduce manual intervention and achieve greater efficiency and accuracy in their order processing workflows. Key features to consider include fast, one-shot training and the flexibility and ease in training the system. Additionally, linking the automation to ERP systems for validation and data transfer is crucial. Traditional rule-based EDI or OCR solutions fall short in addressing these needs, highlighting the importance of adopting advanced, adaptive automation.

Key Takeaway: Document extraction alone is insufficient for effective order processing. Adaptive, intelligent automation solutions are necessary to handle the complexities and exceptions of real-world order processing scenarios.