A packing list is one of the crucial documents in the supply chain, consisting of the contents of each package, their weights, measurements, and the list of all goods in the shipment. Freight forwarders use the packing list during international, national, or regional shipments. This helps determine weights and freight costs. It also aids customs officials to check the content of a specific package or cartoon.
Extracting data from the list and keeping it for records is crucial for the shipment’s receiver, exporter, and manager. In this blog, we will learn how to extract data from packing lists.
Process of Data Extraction from Packing List
Data extraction from the packing list can either be manual or automated.
Manual Data Extraction
Manual data extraction is a process of manually extracting the data from a document using traditional methods like typing, copy-paste, and data entry. This data extraction process can be prone to human error, time-consuming, and repetitive.
Automated Data Extraction
Data extraction automation uses machine learning, natural language processing, and OCR (optical character recognition) to extract the data. It mitigates human error and speeds up the process.
How does Automation Work in Data Extraction from the Packing list?
Automation in data extraction works in different steps. The flow data extraction software follows for extraction from the packing list.
1. Pre-Processing
Pre-processing is the first step in the data extraction process for packing lists. The automated data extraction tool evaluates the document’s quality in this step. However, if the document is of low quality, the software enhances it to ensure a good quality data extraction.
2. Document Classification
This is the second step in which a document is classified according to its type. Document categorization helps in organizing different kinds of documents separately.
3. Data Capture and Digitization
Using OCR and machine learning, the Packing list document extraction tool captures the data and digitizes the printed document into computer-generated text for further processing.
4. Data Extraction
This is the crucial step in which the invaluable packing list data is pulled and organized in the pattern for easy access. Machine learning, artificial intelligence, and natural language processing extract, analyze, and process the data.
5. Data Validation
Once the data is extracted, it is validated against the original document and vast database. If the software finds any information confusing, it flags it for manual validation.
6. Integration with Restful APIs
You can integrate the tool for seamless access to the packing list data from all your existing applications. A packing list data extraction tool equipped with Restful APIs integrates into your existing application effortlessly.
Steps to Extract Data From Packing List with OCR Data Extraction
OCR data extraction automation helps extract the packing list data in bulk and organize and manage it. KlearStack is one of the leading software that aids in extracting data from packing lists. Here is the step-by-step guide to extracting data from the packing list.
Step 1: Login/Register to Data Extraction Tool
Log in to the KlearStack dashboard using your login credentials to access the packing list data processing tool. However, if you’re new to Kleastack, register with the platform by scheduling a demo.
Step 2: View the Dashboard to Upload the Packing List
After successfully logging in to the dashboard, check it thoroughly. You’ll find the option “packing list” itemized among the pre-trained model of the software. Tap on it.
Step 3: Upload the Packing List
Click the “Add new” button in the top right corner to upload the document packing list. KlearStack supports different content formats, including Electronic PDF, Word, Excel, JPG, BMP, TIFF, PNG, scanned PDF, and ZIP files.
Step 4: Specify the Number and Business Types
KlearStack supports multi-page document processing and works for both B2B and B2C business types. In this step, you must specify the pages you want to process. Additionally, choose whether the invoice is for a B2B or B2C transaction.
Step 5: Review the Status of Uploaded Packing List
You can quickly review the status of the uploaded packing list by viewing the top of the list of processed documents. If the document is processed successfully, it will turn green.
Step 6: Examine the Extracted Data
For a detailed examination, click on the uploaded document. You will see the extracted data fields on one side of the screen and the original note on the other. This split view allows you to scroll through and verify the accuracy of the data against the original document.
Step 7: Verify and Edit the Captured Information
You can verify any specific information extracted from the document by clicking on it. The software will highlight the relevant section on the uploaded packing list documents. If you find the info lacks accuracy, you can edit it.
Step 8: Approve the Verified Data
After verifying the data’s accuracy, you can click the “approve” button to finish the process.
Step 9: View the Approved Data on the Dashboard
Once you approve the document, return to the dashboard. Here, the packing list document will be displayed with an approval sign.
In this section, you can view all uploaded documents and their data sources, formats, and types, providing a comprehensive overview of all the processed information.
Features of KlearStack Packing List Data Extraction Software
KlearStack is an intelligent packing list data extraction tool that streamlines the supply chain management process. Its different features smoothen the process and ease the task. Some of the key features of KlearStack are:
- Template-less Solution
- Multi-lingual Support
- Multi-page Data Extraction
- Bulk Packing List processing
- Seamless Integration
- Document classification
Want to Learn the Packing List Data Extraction Process Live? Book a Demo!
KlearStack, equipped with AI-powered OCR & machine learning, is an effective and effortless solution for packing lists data extraction. You can schedule a demo with us to learn about the data extraction process in detail, ask about your queries associated with document processing, and more.
KlearStack is a one-stop solution for document processing, including invoices, receipts, airbills, bills of lading, credit notes, and more.
You can bring any of these documents to the demo call to test our system. We at KlearStack are ready to do the blind test.
