With a Document AI and OCR extract all information in a delivery bill automatically.

What is a delivery docket?

A delivery bill, also called delivery note or delivery docket, is a document issued when goods are transported from one place to another. It serves as proof that the goods were actually delivered and provides information about the nature and scope of the delivered goods. A delivery bill can also serve as an invoice if it contains the prices of the delivered goods.

In which business processes are delivery bills required?

Delivery note documents are commonly used in a number of business processes in companies, e.g:

• Warehousing and inventory management: Delivery bills are used to track the movement of goods in and out of warehouses and update inventory records accordingly.
• Purchasing and supplier management: Delivery bills are used to confirm receipt of purchase orders from suppliers and to match them with the corresponding purchase orders.
• Shipping and logistics: Delivery bills are used to document the transfer of goods from the sender to the carrier and to provide the recipient with proof of delivery.
• Sales and Customer Service: Delivery bills are used to confirm that orders placed by customers have been fulfilled and to document the goods delivered.
• Accounts Payable and Finance: Delivery bills can be used to create invoices for delivered goods and services and to match payments with the corresponding invoices.
• Quality control and assurance: Delivery bills can be used to document the inspection and testing of goods upon receipt to ensure that they meet the required quality standards.

What are the advantages of a delivery bill scanner?

Delivery note scanners with optical character recognition (OCR) technology are widely used in business processes such as warehousing, inventory management, purchasing and supplier management, shipping and logistics, sales and customer service, accounts payable and finance, and quality control. These scanners enable companies to quickly and accurately capture information on delivery bills, reducing the risk of errors and streamlining various business processes. Delivery note scanners with OCR technology can extract text and data from delivery bills, making it easy to integrate the information into digital systems and workflows. This can save time and improve the efficiency of various business processes that rely on delivery bills.

What are the benefits of using artificial intelligence (AI)?

There are several ways companies can use AI to automate the processing of delivery note documents:

1. Optical Character Recognition (OCR): Using OCR technology, text and data can be extracted from delivery note documents and converted into a digital format that can be easily processed by a computer.
2. Data entry automation: Using AI, relevant information can be automatically extracted from delivery bills and inserted into the appropriate fields in a digital database or system.
3. Workflow automation: Using AI, delivery bills can be automatically routed to the appropriate people or departments for review and approval, streamlining the processing of these documents.
4. Fraud detection: AI can be used to examine delivery bills for patterns or anomalies that indicate fraudulent activity, enabling companies to prevent losses due to fraud.
5. Supply chain optimization: AI can be used to analyze delivery note data and other supply chain data to optimize the flow of goods and increase efficiency.

Digitize delivery bills

What is meant by the digitization of delivery bills? Delivery bill digitization refers to the conversion of paper delivery bills to digital form. In principle, all documents can be digitized: purchase documents, contracts, invoices, financial statements, personnel files and more.

What is the difference between digitized and structured delivery bills?

There is an important difference in how documents are stored and available in the company. Either they are only available in digital form or in structured form. You can also determine the degree of digitization of a company based on the proportion of structured data. Basically, the more data that is stored in structured form, the better!

Unstructured data

Unstructured data is, for example, images, documents or objects from which the data cannot be read easily. Programs cannot access this data to enable an application based on it. A classic example is scanned documents that are stored but cannot be read by other systems or machines. Reason: The structure is always different.

Structured data

In contrast, structured data is available in a standardized form. They are stored in databases so that database queries or applications based on them can be performed.

What are the advantages of structured data?

• The delivery address, for example, no longer has to be typed in manually, but the content is automatically generated from the IDP Software recognized and stored in a database. This way, other workflows can automatically access this address.
• Employees save time when processing delivery bills. The user does not have to enter the address.
• Checking and matching to the order can be automated by the automatically recognized structured information.
• Data structuring can also better ensure that delivery bills are up-to-date and not duplicated.

What is the difference between ERP and DMS systems?

Although DMS systems store documents in a database, the data stored within the document can at best be retrieved using the search function. DMS systems therefore often offer only unstructured data. ERP systems, on the other hand, can be understood as a database for structured information.

IDP Software uses the latest technologies, for example, to automatically find the case-relevant information in delivery bills, store it in a structured way and thus enable further processing in the business context. IDP Software is a link between the DMS system and the ERP system and uses the latest building blocks from Natural Language Understanding, Machine Learning, Text Mining and AI. This reduces costs, increases quality and speed, and prepares a better basis for decision-making.

Automatically recognize delivery notes with OCR

Increase your organization's effectiveness with Optical Character Recognition (OCR) and data extraction for delivery bills. Process delivery bills securely and automatically.

Which fields can be recognized in a delivery bill?

The information that a delivery bill must contain depends on the particular company and the type of goods delivered. However, some common fields of information that may be included in a delivery bill are as follows

• Information about the sender: this may include the sender's name, address and contact details.
• Information about the recipient: this may include the name, address and contact details of the recipient.
• Date of delivery: The date on which the goods were delivered.
• Description of Goods: A detailed description of the goods supplied, including quantity, size, weight and other relevant details.
• Method of delivery: The method by which the goods were delivered (e.g., by truck, by plane, by ship, etc.).
• Tracking number: A unique identifier used to track the movement of goods.
• Signature: A signature of the consignee or a representative of the consignee acknowledging receipt of the goods.
• Additional Notes: Any additional notes or comments about the delivery, such as special instructions or problems encountered during the delivery process.

Documents AI can in principle extract all data fields from a delivery bill. To give you an idea, we list some examples:

• Receipt date
• Delivery note number
• Name and address of the buyer
• Name, address and contact address of the seller
• Buyer's order number (PO#)
• Order date
• Delivery date
• Description and code of the goods
• Quantity ordered and delivered
• Posting line details
• Reordered goods
• Comments or special features
• And many more fields

The extracted data fields can be customized for each customer. Additional fields can be extracted on request. You can find a detailed presentation on the page of the Software easybill. In addition, duplicates can be automatically detected and Delivery bill automatically rotated be

What should be considered when processing delivery bills automatically?

Information from delivery bills can be relevant in diverse processes and workflows. To enable a high level of automation, users often ask themselves the following questions: