IFS .ai Scan Delivery Note

Introduction

IFS.ai Scan Delivery Note uses AI and Large Language Model technology to process delivery notes that are provided in formats suitable for identification and interpretation. The assistant reads and interprets the uploaded delivery note, helps populate delivery note header and line information, and supports the creation of an Incoming Dispatch Advice.
Manually interpreting delivery notes and preparing incoming advice information can require users to identify supplier details, match purchase order references and enter part line information. The assistant supports this work by scanning the document and presenting recognized information for review before the transaction is completed.
In practice, this means that you can open the Scan Delivery Note assistant, select a delivery note file, review the scanned header and line information, correct any missing or unrecognized values, and create an Incoming Dispatch Advice. If needed, you can also enter processing parameters to create a Receipt and define the receiving location. You can also enter processing parameters to create a Receipt by selecting receiving location.
Output quality depends on document quality
The assistant works best when the delivery note is legible and provided in a supported format. Missing, unclear or unrecognized information must be reviewed and completed manually before the Incoming Dispatch advice or receipt is created.

Who This Feature Is For and Why It Matters

This feature is designed for roles involved in receiving goods and processing supplier delivery documents, including:

Role Responsible for
Receiving or warehouse users Scanning delivery notes and preparing incoming dispatch advice information for received goods.
Procurement or purchasing users Working with supplier delivery documents and purchase order references that are ready to be received.
Inventory or logistics users Reviewing receipt-related information and, when applicable, creating a Receipt using selected processing parameters.


Use this feature when you need to:

By using this feature, you can:

Where to Find It

Access this feature from the Scan Delivery Note assistant in IFS Cloud.

Page / assistant Scan Delivery Note assistant
Product area The incoming dispatch advice and receipt process.
Location Open the assistant, confirm or change Site and Received by, select the delivery note file and continue to review the scanned content.
Related transaction Incoming Dispatch Advice; optional Receipt creation through Processing Parameters

How the Feature Uses Data

When you scan a delivery note, the assistant reads the uploaded file and interprets information that can be used to prepare the Incoming Dispatch Advice. The assistant relies on matching between the supplier name in the system and the supplier name on the delivery document, and it also requires the related purchase order information to be available and ready to be received.
The feature reads and presents information such as:

It also uses:

Supported Documents

The assistant supports delivery notes provided as PDF files or common image formats.

Supported / unsupported item Details
Supported formats PDF, BMP, JPG and PNG.
Quality considerations Documents should be suitable for identification and interpretation. Clear, legible documents are expected to produce better results.
Unsupported scenario Images embedded within a PDF are not supported.
Manual review Missing or unrecognized information must be reviewed and completed manually.

Understanding the Output

After the delivery note is scanned, the assistant presents recognized header and part line data for review. The user must verify the supplier and complete or correct information that was missing in the scanned document or could not be recognized.
The output may include or require review of:

Review before completing
Do not continue with line editing until you have verified that the correct supplier has been recognized or selected. The scanned information is a suggestion and must be reviewed before the Incoming Dispatch Advice or Receipt is created.

Output can vary depending on document quality and content. For example:

Prerequisites

Configuration Requirements

Before users scan delivery notes, confirm that the required supplier and purchase order data exists.

Upload and Extract

Step User action Expected result / note
1. Scan Delivery Note Enter the Scan Delivery Note assistant. Site and Received by are retrieved from the user defaults, but can be changed if required. Select the file to scan and choose Next. The selected delivery note is submitted for identification and interpretation.
2. Review Delivery Note Review and complete header data if it was missing or could not be recognized. Verify that the correct supplier has been recognized or selected before editing line data. Header data is prepared for creating the Incoming Dispatch Advice.
2. Review Delivery Note Review and complete part line data if it was missing or could not be recognized. Pay particular attention to Part Description, Part No, Dispatch Source Qty and Source Order Ref information. Line data is prepared for matching and Incoming Dispatch Advice creation.
3. Create Incoming Dispatch Advice Choose Finish to create the Incoming Dispatch Advice using the default Processing Parameters. The Incoming Dispatch Advice is created. By default, no Receipt is created.
4. Enter Processing Parameters (optional) Before finishing, select whether a Receipt should be created and define the location where the goods should be received. If Receipt creation is selected, the Receipt is created according to the selected Processing Parameters and the Incoming Dispatch Advice is set to Arrived.

 

Review and Refine

Apply

The feature does not automatically complete the process without user review. The user must review, correct and finish the assistant flow before the Incoming Dispatch Advice or Receipt is created.

Example Actions

Based on the scanned and reviewed results, you may:

Providing clear, legible delivery notes in supported formats such as PDF, BMP, JPG or PNG helps improve recognition quality. Images embedded within a PDF are not supported.

Important to Know