Freight forwarders often lose valuable time reading emails and documents, finding the information needed for a shipment, and entering it into their software. This repeated work can slow operations and increase the risk of missing important details. Document AI helps by turning incoming freight information into structured data that users can review. In Logitude World, Document AI reads the email and attached document inside the freight platform. It prepares the relevant details in the correct system fields, where the freight forwarder can review and approve them before the record is created or updated.
A new shipment rarely begins with perfectly structured data. The first information may arrive in an email from a customer, a routing order from an agent, or a booking confirmation from a carrier. The final Air Waybill or Bill of Lading may come later. Until then, the operations team must work with whatever information is available.
This is difficult because freight documents were created for different purposes and by different parties. Their layouts vary, fields may use different labels, and important details can be split between the email body and an attachment. A user has to understand the document before deciding where each value belongs in the freight system.
In April 2024, the ICC Digital Standards Initiative published a framework covering 36 important trade documents. The framework was developed after 18 months of research. This large number of document types shows why replacing paper with PDFs is not enough: freight companies need a reliable way to turn incoming information into usable operational data.
Ocean shipping illustrates the scale of the opportunity. In February 2023, the Digital Container Shipping Association reported that ocean carriers issue around 45 million Bills of Lading each year. Its member carriers have committed to full adoption of standardized electronic Bills of Lading by 2030.
Digitizing a document, however, does not automatically remove manual work. Someone may still need to read the file, decide what each value means, and enter the details into a shipment. In Logitude World, Document AI addresses that next part of the process.
Optical Character Recognition, also known as OCR, converts printed or scanned characters into machine-readable text. That is useful, but recognizing the words on a document is not the same as understanding their operational meaning.
For example, OCR may capture a port name, a date, and a container number from a Bill of Lading. A freight-specific Document AI process must go further. It needs to determine whether the port is the origin, destination, or transshipment point. It must understand whether the date relates to departure, arrival, or another event. It also needs to place the container number in the correct part of the shipment record.
The practical difference is easiest to see side by side:
| Capability | Basic OCR | Freight-specific Document AI |
|---|---|---|
| Primary function | Converts characters into machine-readable text | Interprets freight information and prepares it for an operational record |
| Freight context | Does not determine the operational meaning of a value | Uses freight context to interpret ports, dates, parties, and other details |
| Field mapping | Returns extracted text for further processing | Maps relevant values to shipment, quote, or supplier invoice fields |
| Result | Text that still requires interpretation or data entry | A ready-to-review proposed record |
| User role | Reviews the extracted text and completes the operational work | Compares proposed values with the source and approves the record |
In an April 2026 article, IATA summarizes the industry’s digital shift as a move “from documents to data.”
IATA also emphasizes that people should remain in control as AI becomes more widely used. For freight forwarders, this means the software can prepare the data while the user remains responsible for confirming it.
Logitude World applies Document AI where freight information already arrives. The user should not have to copy an attachment into a separate AI tool and then move the result back into the freight platform.
A complete email-to-shipment process follows these steps:
This review stage is important. Freight documents may contain incomplete information, unfamiliar abbreviations, or values that require commercial judgment. Logitude World follows a review-first approach: Document AI reduces repeated reading and typing while keeping the source visible and requiring the user to confirm changes.
Document AI can prepare operational records from transport documents, shipment-related emails, quote requests, and supplier invoices. The result depends on the source: it may be a new or updated shipment, a quote, or an AP invoice.
| Incoming information | Record prepared | Practical use |
|---|---|---|
| Bill of Lading | New or updated Ocean shipment | Captures routing, parties, containers, packages, cargo details, and booking references |
| Air Waybill | New or updated Air shipment | Captures flight, routing, party, booking, and cargo information |
| Shipment-related email or another freight document | New shipment | Allows work to begin before the final AWB or B/L arrives |
| Customer quote request | Ready-to-review quote | Uses the email and attachments to prepare the commercial request |
| Supplier invoice | Ready-to-create AP invoice | Extracts invoice information for accounting review and checks |
This range matters because the first document to arrive is not always the final transport document. A packing list, commercial invoice, routing order, or customer email may contain enough information to begin preparing the shipment. This avoids delaying work until the AWB or B/L arrives.
The platform has AI built into the infrastructure of its cloud-based SaaS freight forwarding software. Document AI is not a separate add-on that reads a file without understanding how its information will be used. It operates within the platform’s freight workflows, so it can prepare extracted information for a shipment, quote, or supplier invoice record.
This is especially useful when a document arrives by email. Important details may be divided between the email message and the attached file. A customer might place a shipment reference or an important correction in the email body instead of adding it to the attachment.
Document AI analyzes the email body and attachment together. It identifies relevant details from both sources and maps them to the corresponding fields in the platform. This helps capture useful information even when it appears only in the message itself.
The process can begin in one of three ways:
Even when extraction is fast, the result still goes through a review step.
The freight forwarder receives prepared information rather than an automatically changed record. The user can compare the proposed values with the original email and document, correct anything if needed, and approve the creation or update of the record.
For Ocean freight, Document AI reads Bills of Lading and prepares information for Direct, House, and Master shipments across FCL and LCL operations. It can identify parties, ports, dates, booking information, containers, packages, and cargo details. The Bill of Lading is also saved with the shipment.
For Air freight, the same process turns an Air Waybill into a new shipment or prepares changes for an existing one. Direct, House, and Master shipments are supported. When the shipment already exists, the user can compare the extracted routing, flight, booking, and cargo information with the current record before confirming an update.
The R3.26 release note explains both workflows and shows how users review the extracted information before creating or updating a shipment.
Freight work often begins with a customer request, routing order, booking message, packing list, or commercial invoice. Logitude World’s general shipment-creation model reads the conversation and available documents to prepare a shipment from that initial information.
The attached files are saved with the new shipment, and the original conversation remains linked to it. When later messages bring a booking update or tracking information, the communication history stays connected to the operational record.
This capability also reduces the need to wait for a standard transport document. A packing list or commercial invoice can provide enough information to prepare the shipment, leaving the user to review what was found and complete anything that is still missing.
A customer may describe a shipment in an email rather than completing a standard quotation form. Document AI can read the conversation and attachments, identify the requested service and shipment details, and prepare a quote for review. The resulting quote remains linked to the original customer conversation.
Supplier invoices follow a similar path. The AP Invoice model identifies invoice details and prepares the accounting record. Vendor matching recognizes differences in spelling, abbreviations, and legal names. According to Logitude World’s internal product documentation, the review process can also warn the user when an invoice with the same vendor and number may already exist.
These checks are important because faster extraction should not create faster mistakes. The accounting user still confirms the vendor, date, amounts, and related record before completing the AP invoice.
Document AI can extract container, package, and inner-package details from a Bill of Lading, helping users prepare detailed shipment records with less manual data entry.
The same internal product documentation confirms that authorized users can create a missing customer or agent while reviewing the extraction, without leaving the process and starting again.
These capabilities solve different parts of the same problem: a freight document contains information that must become usable operational data. The source stays available, the proposed values remain editable, and the freight forwarder decides what enters the record.
When evaluating Document AI for a freight forwarding, NVOCC, or multimodal operation, ask for a demo using a realistic freight email and document rather than a clean sample created for the software. The vendor should show the complete process, from receiving the file to preparing the operational record.
Check whether the solution can:
Processing speed matters, but it should not be the only test. An answer returned in seconds has limited value if the user must reorganize it and enter it again. The more useful measure is how quickly a reliable, ready-to-review record reaches the correct person.
Logitude World’s Document AI gives freight forwarders a practical way to turn everyday emails and documents into usable operational data. Its value comes from understanding what the information means, placing it in the correct freight fields, and keeping the source available for review.
For teams comparing freight software, the key question is not whether a vendor can extract text from a PDF. Ask whether the software can use that information to prepare the shipment, quote, or invoice your team needs next. The software should also let users review and approve the final record.
When you sign up for a free trial with Logitude World, a product demo is included so you can see the platform’s AI features in action.
Document AI gives freight forwarders a practical way to reduce the time spent reading documents and entering shipment data manually. Its real value lies in turning incoming information into a ready-to-review operational record while keeping the original source available. The freight forwarder reviews and approves the result before any record is created or updated.
Logitude World’s Document AI reads freight emails and documents, identifies relevant shipment details, and prepares them for an operational record. Unlike basic OCR, it also interprets what the information means and maps values such as routing, parties, dates, cargo, containers, and charges to freight-software fields. The platform can read the email body and attachments together before preparing fields for review.
Document AI can benefit freight forwarders, NVOCCs, and multimodal logistics providers that receive shipment information through emails and documents. It is useful for teams of any size when employees spend time reading files, preparing quotes, or reviewing supplier invoices. For example, Logitude World’s Document AI can warn users about a possible duplicate before they create an AP invoice.
Accuracy depends on the document quality, the type of information being extracted, and how well the software understands freight operations. No result should be accepted without review. The platform keeps the source visible beside the proposed values, so users can correct unclear details before approving a shipment, quote, or supplier invoice record.
No. In Logitude World, Document AI presents extracted information for review before it creates or updates a record. The user can compare the proposed values with the source, correct anything that requires attention, and approve the final result. This reduces manual work while keeping the freight forwarder responsible for the information entered in the system.
The best freight forwarding software with Document AI should do more than extract text. It should understand freight context, prepare information in the correct operational fields, and let users review the result before anything is applied. Logitude World is a strong choice because Document AI is built into the freight platform and supports shipment, quote, and supplier invoice workflows.
Yes. Logitude World’s Document AI supports both air and ocean freight. It can use information from Air Waybills and Bills of Lading to prepare Direct, House, and Master shipment records. Users review the extracted details and approve the result before a new shipment is created or an existing record is updated.
By Ibrahim Elwazer