Manual data processing is still part of a lot of manufacturing environment. However, the work speed is slowed down, the error increases, and the expansion is limited.
Traditional OCR (Optical Cognitive Recognition), which converts print and writing text into digital data, is still an excellent example of a popular system that depends on human function. This approach is largely used in F & B (Food and Beverage) and CPG (Consumer Packaging) facilities.
- Extract the product code and lot/batch number from the packaging
- Find the expiration date and compliance label
- Read invoice, delivery declaration and purchase orders
- Syntax analysis of other printing forms such as COAS (Certificates of Analysis)
It is a powerful technology, but the process uses the boundary box to require a manual zone setting, so that specific information identifies the location of the document. A person must create and maintain these area files, and effectively educate the OCR machine to extract and exactly where to see. This adds complexity and friction to the workflow and increases the risk of errors when the area is wrongly aligned or the document does not follow a consistent form.
Whenever a new supplier is released, the entire process must be completed again. Endless cycle. It’s not impossible when expanding, but it’s hard to keep it.
How AI removes COA delays
As artificial intelligence (AI) quickly switched to a practical tool for F & B and CPG companies to check and manage suppliers’ data, it has become a accelerator that modernizes this legacy process.
It is possible in the Intelligent Document Processing (IDP), a vertical AI solution that can simplify COA processing. Brandon Davidson, a product manager, said, “OCR is an essential part of the IDP solution, but it’s just a part of the puzzle.” It is a monopoly AI prompt that differentiates our approach. The AI understands the structure and context of each CoA, so you can extract accurate data without relying on static templates or passive areas. “
If AI can’t find data for some reason, it’s simple to provide additional contexts so that the user can find out what the platform is to find.
What does this mean by the F & B and CPG brands? The CoA can be processed in seconds, not a few minutes.
AI converts document workflow to provide a competitive advantage.
Intelligent document processing provides a big advantage for the brand.
Accuracy has improved
In the concept proof led by tracking using 1,000 randomly COAs, AI driving treatment reduced the need for high accuracy, minimized errors and manual intervention.
Davidson said, “IDP solutions have continued to set existing zone settings by providing more accurate data extraction results.
AI continues to improve accuracy for each interaction by handling more document structures and integrating user finances.
Less maintenance requirements
When the supplier changes the document (make the header bigger, text alignment, font change or margin adjusted), confusion occurs in the manual data extraction workflow. The value is no longer in the boundary box and cannot identify important fields.
However, using the AI drive IDP does not have a border box or an import template to worry. AI can still find the necessary data without rebuilding. It can immediately adapt in different formats, intelligently recognize suppliers and items, and handle multiple lot documents.
Faster and smarter workflow for COA processing
When the AI processes COA, the IDP works as follows.
- Extract details and major properties such as suppliers’ name, contact information, product name, PO number, lot number, manufacturing date, expiration date, etc.
- You must extract any attributes (pH levels, moisture content, etc.) for verification according to what you know about the requirements to meet the quality and safety standards.
- AI verifies the results of perfection and accuracy.
- The user can review the property, suppliers’ details and quality metrics as needed.
- CoA is created and stored. The document is automatically connected to that digital record for easy references.
The ability to identify and analyze CoA data in a few minutes is not just a leap forward. This is a way to create a smarter workflow and focus on future regulations. Davidson said, “Legacy OCR performed all heavy lifting to maintain the template and adjusted to match all new suppliers.” It’s not any other way but an article. “
Learn more Compliance with AI drive suppliers ~ tracking.
