Case Study: How AlgoDocs Enhances Bill of Lading

Bill of Lading can efficiently be processed with AlgoDocs

A bill of lading, shortened as BL or BoL, is a legal document given by a carrier (a company that provides transportation) to the shipper. It outlines the particulars of the goods being transported, including the kind, quantity, and destination of the goods.

In addition, a bill of lading functions as a shipping receipt when the carrier finalizes the delivery of the goods after a given destination. This document must accompany the shipped products, no matter the form of transportation, and must be signed by an authorized representative from the carrier, shipper, and receiver.

Contents

• INTRODUCTION
• WHAT IS THE PURPOSE OF A BILL OF LADING?
• WHAT IS IN A BILL OF LADING?
• DIFFERENT TYPES OF BILLS OF LADING.
• CHALLENGES WITH MANUAL PROCESSING:
• IMPLEMENTING INTELLIGENT DOCUMENT PROCESSING (IDP)
• BENEFITS OF INTELLIGENT DOCUMENT PROCESSING (IDP):
• CASE STUDY
• KEY TAKEAWAYS

What Is the Purpose of a Bill of Lading?

A bill of lading has three primary purposes. First, it is a document of title to the goods described in the bill of lading. Second, it is a receipt for the shipped products. Finally, it represents the agreed terms and conditions for the transportation and eventual release of the shipped goods.

What Is in A Bill of Lading?

Typically, a bill of lading will include the names and addresses of the shipper (consignor) and the receiver (consignee), shipment date, quantity, exact weight, value, and freight classification. Also included is a complete description of the items, including whether they are classified as hazardous, the type of packaging used, any specific instructions for the carrier, and any special-order tracking numbers.

Why Is a Bill of Lading Important?

A bill of lading is a legally binding document. The carrier and the shipper are given all the essential details to help them process a shipment correctly. Hence, it can be used in litigation if the situation requires it. The parties to it will be highly knowledgeable about the document as required by the law to ensure that there is no compromise in the safety and security of your goods. A bill of lading is undisputed proof of shipment. Furthermore, it allows for segregating duties, a vital part of a firm’s internal control structure, to prevent theft.

Different Types of Bills of Lading

Some of the most common include:

  • Inland bill of lading
  • Ocean bill of lading
  • Through bill of lading
  • Negotiable bill of lading
  • Uniform bill of lading

Challenges With Manual Processing

Some of the known challenges are:

  • Logistics companies are confronted with vast volumes of data through files in document form, such as invoices, airline bills, price lists, HR forms and payrolls, customs forms, and so on.
  • Manual data management is time-consuming and error-prone.
  • Human data entry errors can lead to costly consequences.

Implementing Intelligent Document Processing (IDP)

Much of the information needed to execute logistics and supply chain operations is manually extracted from data sources such as the Bill of Lading. Automating the processing of instructions for the Bill of Lading proves to be crucial in increasing back-office productivity and, consequently, improving customer service performance. If traditionally conducting these activities by manually copying and pasting data carries the risk of errors and is an obstacle to maximizing operational efficiency, the value of automation must be highlighted.

Benefits Of Intelligent Document Processing (IDP)

  • Accuracy: AI-driven IDP has the advantage of minimizing human factors and error occurrence, which in return produces more quality.
  • Continuous Learning: AI models can learn from humans, thus enabling them to get better results even without human assistance.
  • Cost Savings: Laboratory test costs decrease when data is not appropriately edited, prevented by IDP.
  • Data Extraction: IDP excels in extracting names, dates, addresses, and amounts from BoLs.
  • Quality Assurance: Human interaction ensures precision modeling.
  • Guaranteed Quality: The IDP introduced AI computing and on-demand data collection to achieve valid results.

CASE STUDY

Imagine XYZ company, which is a logistics firm. It receives the shipment. The manager determines the type and amount of goods that need to be ordered. They then fill out a purchase order (PO), and XYZ’s owner reviews and initials each PO before it is emailed to the vendor. The vendor gathers the orders and signs a bill of lading along with a representative from the overnight carrier. The forwarder then supplies products to the ship and provides the invoice to the manager, who compares the bill of lading details with what was mentioned on the PO. If the information matches, the PO and the bill of lading are sent to the owner, who reviews the documents and writes a check payable to the vendor.

Bill of Lading

Fields That Can Be Extracted:

  • OT
  • PRO Number
  • Consignee City
  • Consignee State
  • Consignee Zip
  • Total Weight
  • Handling Unit
  • Description
  • The list goes on and on.

Example of extract data output:

Enhancing Accuracy with Automated Data Extraction

AlgoDocs can extract data automatically from the Bills of Lading. This step dramatically improves efficiency and offers new prospects for success in logistics. Applying AlgoDocs to the Bill of Lading allows the necessary data to be automatically extracted from the PDFs and images of the handwritten document received from the carrier and a new document structure from the Bill of Lading to be created quickly, eliminating the need for repetitive and error-prone manual work.

Improving Efficiency with AlgoDocs AI Algorithms

Bill of Lading instructions are often accompanied by various documents in different formats, as each company chooses the format best suited to its needs when sending instructions to the carrier. AlgoDocs represents a breakthrough in managing Bill of Lading data extraction because AlgoDocs AI algorithms process text recognition; this process not only speeds up processing but also minimizes the possibility of errors.

KEY TAKEAWAYS

AlgoDocs is a potent system that combines OCR, NLP, and ML technologies to provide a tool capable of extracting data from heterogeneous documents. It is particularly useful in creating a Bill of Lading. With AlgoDocs, you can automatically extract any field from bill of lading (BOL) documents. It can also extract critical data from Bill of Lading Documents. Do not waste time on manual extraction or building complicated templates. The AlgoDocs automated extractor (pre-trained model) recognizes Bill of Lading document fields that are out of the box and is flexible enough to adapt as documents evolve.

Final Thoughts

AlgoDocs proves to be the ideal solution to the challenges of bill-of-lading document processing. It uses new Artificial Intelligence and on-demand data processing to recognize any document, irrespective of the text, with complete quality assurance. The AI extractor in AlgoDocs not only reduces errors in data extraction but also allows businesses to:

  • Reduce Processing Time: Auto data extraction and document handling significantly decrease preparation times.
  • Improve Accuracy with Large Language Models: Use the intelligence of AI to optimize data extraction algorithms.
  • Classify Documents Automatically: The technological system can do this well, as it can manage many forms, eliminate errors, and make data searching convenient.

Documents Algo Docs AI-driven document processing became possible thanks to a variety of our services, built on top of a general AI platform for processing unstructured data. Contact us for more details and get a head start on this journey to enhance your operations. Follow this link to Schedule a Demo and Sign Up.

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