How AI Is Changing Freight Forwarding Software in 2026

In 2026, AI is giving freight forwarding software a more active role in daily work. The software can understand incoming emails and documents, then use the freight context to prepare the next task for review. For example, a document can provide the details for a proposed record, while an email can lead to a suggested action. The user checks the source and corrects the proposed information if needed, and nothing changes until approval. Logitude World puts this approach into practice by integrating AI directly into the freight platform, where it can use the operational context already available to prepare relevant work.

Why Freight Forwarding AI Needs More Than General Intelligence

AI adoption has become a priority across logistics, but access to an AI tool does not automatically improve freight operations. A 2026 BCG survey of leading global logistics companies found that 97% of executives considered AI a strategic priority, while only 13% reported measurable financial results.

This gap makes sense because a general AI assistant can help users understand the content of an email or document, yet its output often remains outside the freight system. The user must then locate the correct shipment and apply the necessary update manually.

Freight work requires more than an accurate summary because the software must recognize what the message concerns and connect it to the correct record. Only then can it help the user continue the process.

Consider a booking confirmation that includes a new vessel and departure date. Identifying those details is only the beginning because the user must still find the related shipment and compare the new information with the current record. Freight-specific AI becomes valuable when it can prepare that work for review.

The practical question is therefore not, “Does this platform have AI?” A better question is, “Which freight task can the AI help the user complete?” The answer should show what the AI reads and what task it prepares. It should also make clear what the user must check before anything changes.

Why Built-In AI Is Better Than an Add-On Tool

An external AI tool can help with general content work, but it normally operates outside the freight platform. The user may need to copy information out of the system and explain the shipment context before transferring the result back to continue the task.

In Logitude World, built-in AI works differently because it can use the shipment record with its related communication. That context allows the AI to prepare a task in the system where the work will be completed.

This distinction affects both speed and accuracy. When users copy information between separate applications, they must decide what context to include and where each result belongs. Built-in AI can reduce those extra steps because it works with the platform's own fields and records.

It also gives the company clearer control because the user can compare the AI result with its source and correct it before approval. The purpose is not to give AI unrestricted access, but to let it prepare useful work while the freight professional keeps authority over the final action.

How AI Reduces Daily Freight Work

The strongest use cases begin with work that freight forwarders and non-vessel-operating common carriers (NVOCCs) already perform every day. Much of that work involves turning incoming emails and documents into usable system records while customers wait for an answer. AI can shorten this process without changing who is responsible for the decision.

Reading Freight Documents Without Manual Data Entry

Shipment details often arrive in documents such as Air Waybills and Bills of Lading rather than in ready-to-use fields. A user must read the source and type each relevant value into the system.

• Source reading: AI identifies the relevant values and places them in the appropriate freight fields, so the user receives structured data rather than an unorganized block of text.
• Record preparation: An Air Waybill can provide the details for an air shipment, while a Bill of Lading can support an ocean shipment. The same approach can prepare a quote from a customer request or use a supplier invoice to prepare AP information.
• User review: The original document remains available, and the user reviews the proposed values before creating or updating a record.

Understanding and Classifying Freight Emails

Freight inboxes combine routine correspondence with messages that can change a shipment or require a quick customer response. The most recent message is not always the most important one. A delayed shipment or an unhappy customer may need attention before an ordinary update that arrives later.

The Logitude World R3.26 release note estimates that freight operators spend about 25% to 40% of their working time managing email. The estimate covers routine replies and attachment handling, along with searches through earlier threads.

• Email classification: AI adds labels to each email or conversation thread so users can understand what it concerns before opening it.
• Attention signals: Priority and sentiment labels can show which message may need attention first.
• Freight connection: The shipment direction and linked shipment number provide operational context. When the user's email account is synchronized with the freight software, messages can remain connected to the relevant records.

Turning Emails and Documents into Freight Records

Classification helps users find important messages, but the larger benefit comes when the information can support a real freight task. An email may contain the details needed for a quote, while an attached transport document may provide the information needed for a shipment.

• Combined source: AI can use the email body and its attachments as source material, then place the extracted details in the appropriate freight fields for review.
• Record preparation: Different sources prepare different records. A customer request may be used for a quote, a transport document can support a shipment, and supplier invoice details can prepare an AP record.
• Workflow continuity: When an approved quote becomes active business, the freight process can continue with the accepted commercial details rather than treating the next stage as an unrelated task.

Logitude World's release documentation estimates that about 30% to 40% of quotations typically become shipments. Reducing the time required to prepare quote information can therefore help teams respond faster without assuming that every request will become a job.

Suggesting and Running the Next Relevant Action

A booking confirmation email may indicate a clear next step by providing updated routing or schedule details, such as a new vessel or departure date. The user needs more than a summary because the connected shipment may need to be updated.

• Suggested action: An AI assistant can recommend a relevant task from the conversation, such as extracting booking confirmation details.
• Booking example: If the user selects Run, the AI reads the booking information, compares it with the connected shipment, and prepares the proposed changes.
• User approval: The freight forwarder reviews the result before any update is applied to the shipment record.
• Process flexibility: A company can configure AI for a specific freight task, while approval remains required before an operational record changes.

Helping Users Prepare Customer Emails

Freight teams regularly send customer communications, from shipment updates to payment reminders. These messages need more than accurate wording. They should also be clearly structured, professionally presented, and consistent with the company’s branding.

• Content support: AI-assisted email editing helps users prepare professional customer messages.
• Layout support: It can reduce the time needed to design and format the email.
• Brand consistency: Users can improve the visual style without building every message from the beginning.

AI and Automation Are Not the Same

AI and automation can both reduce repeated work, but they perform different roles.

Automation is suitable when the condition and response are already known. A workflow can send a notification after a shipment reaches a selected status because the trigger was defined in advance.

AI is useful when the software must first interpret the information. Carriers may describe the same booking change in different ways, and customers may provide quote details in different formats. AI can identify the relevant content even when it is not arranged in fixed fields.

AI and automation can support the same process: AI may read an incoming message and prepare the information, while an established workflow continues under the company's normal rules after the user confirms it.

How Logitude World Built AI Around Real Freight Workflows

AI delivers more value in freight forwarding when it understands the operation behind the task. The company did not begin with a general AI tool and then search for a freight problem to solve. Its AI was developed for a SaaS platform already used to manage real freight work.

Long before the current AI wave, the platform had already built freight forwarding software around daily multimodal operations. The platform was already structured around how an accepted quote can become a shipment and how new information can change the job. That foundation allows the AI to support real operations rather than treat each email or document as isolated content.

This foundation changes what the AI can do. Instead of returning an answer that the user must transfer into another system, the platform can prepare the work in the relevant record. The user can continue from the point where the information arrived without explaining the shipment from the beginning.

Document AI shows this freight-first approach in practice. It reads shipment-related emails and documents, identifies the relevant information, and maps it to the platform’s fields for review. A customer request can be used to prepare a quote. A transport document can provide the information needed to create or update a shipment, while a supplier invoice can be prepared for the next AP step.

The AI-powered Integrated Inbox applies this approach to daily communication by synchronizing the user's email with the platform. AI analyzes each email or thread individually and adds labels that help the user understand what it concerns. Priority and sentiment can show which message may need attention first. The email topic explains what the conversation concerns, while the shipment direction and linked shipment number connect it to the relevant freight work.

When a conversation points to a next action, the AI Assistant can recommend a relevant AI Agent. A booking confirmation, for example, can lead it to suggest the Booking Confirmation Extraction Agent. If the user selects Run, the Agent reads the booking details and prepares proposed shipment updates. The freight forwarder reviews and approves the result before any record changes. Companies can also create and customize AI Agents for their own processes in any module where they need them.

Logitude World’s AI Email Editor also helps teams create professional, branded emails. These modules cover several of the areas where freight forwarders need AI most, but its AI capabilities extend beyond them. The platform supports freight companies of different sizes, from small teams to large organizations with multiple branches. Together, these capabilities show the value of this approach: incoming information can become prepared operational work while the freight forwarder remains in control.

What Freight Companies Are Already Achieving with AI

AI results become more credible when companies connect them to a defined task and measure what changed. Two freight-industry examples show why the workflow matters more than a general promise to “use AI.”

C.H. Robinson

• Reported productivity: C.H. Robinson reports 40% productivity gains from its AI program.
• Scale: More than 30 AI Agents have processed over three million tasks.
• Quote speed: The company reports producing some price quotes in 32 seconds instead of hours.

CEO Dave Bozeman described the program in direct terms:

“This isn't just experiments. It's actually bottom line results.”

These are company-reported results from a large logistics provider, so they should not be treated as a forecast for every forwarder. They show that an AI claim becomes useful when it links a defined activity to a measurable result. Enough operational volume is also needed to evaluate that result.

Kuehne+Nagel

• Deployment: Reuters reported that Kuehne+Nagel is deploying AI Agents.
• Program context: The deployment is part of an efficiency program.
• Expected effect: The program is intended to improve productivity by about 5%.

Bernstein analysts summarized the business case as follows:

“AI deployment has the ability to reduce cost for forwarders.”

The scale of these businesses differs from that of many independent forwarders. The principle still applies: results depend on the chosen task and the company's operating conditions. Each company should define its own baseline before introducing AI, then measure whether the supported task is completed faster and with fewer errors.

How to Evaluate AI Freight Software

Why Freight Forwarders Must Remain in Control

Freight forwarding depends on professional judgment. A forwarder may need to approve a route change or verify a charge. When a shipment does not follow the plan, the appropriate response also depends on the situation.

AI can prepare information for these decisions, but it should not make them on the user's behalf. The system should let the user compare the result with the original source and correct it before approval. In Logitude World, the user must review and approve an AI Agent’s proposed changes before they are applied to a freight record.

This division of responsibility is practical because AI handles the initial work of understanding incoming information and preparing it for use. The freight professional makes the operational or commercial decision and remains responsible for the outcome.

Human control is also important when the source is incomplete or difficult to read, especially if different messages contain conflicting information. AI can bring the issue to the user's attention, but the user decides how to resolve it.

What to Check Before Choosing AI Freight Software

An AI label does not show what the software can accomplish in daily operations. Ask the provider to demonstrate a complete process using a realistic freight email or document, rather than a prepared chatbot question.

Use these checks during the evaluation:

A useful demonstration should follow one item from arrival to a proposed action so the buyer can see how the AI handles the information and which record is affected. It should also be clear what the user must approve. If the demonstration ends with a summary in a chat window, ask what work remains for the user.

Conclusion

The defining change in 2026 is not the addition of a chatbot beside freight software, but the ability to use AI within the operational platform where incoming information is already connected to freight records.

That position allows AI to understand incoming information and use it to prepare the next task rather than merely explain what a message says. The user then reviews any proposed update and decides what should happen.

For freight forwarders, this creates a practical standard for evaluating AI: the strongest tools should reduce the work between the arrival of new information and the point when the next task is ready. They should also make the source visible and keep the freight professional in control.

To see how these capabilities work with information from your own freight operation, request a Logitude World demo.

Frequently Asked Questions

How is AI changing freight forwarding software in 2026?

AI is helping freight software turn incoming information into reviewable work. It can read an email or document, connect the relevant details to a freight record, and prepare the next action while leaving approval with the user. For example, Document AI prepares freight records from emails and documents, while the AI-powered Integrated Inbox can help users understand messages and reach a relevant next action.

Why is built-in AI more useful than an add-on AI tool for freight forwarders?

Built-in AI can use the shipment records, fields, and communication already available in the freight platform. An add-on tool may understand the content, but the user often needs to provide the operational context and transfer the result back into the freight system. For example, the AI Assistant can use a connected conversation to suggest a relevant AI Agent for the user to run.

Can AI create or update freight records from emails and documents?

Yes, when the AI is connected to the freight system's records and fields. Document AI can read an email with its attachments and prepare the relevant record or proposed update. The user reviews the values before creating or changing the record.

Will AI replace freight forwarders?

No. AI can reduce the routine work required to understand incoming information and prepare it for use, but it does not replace the freight forwarder's judgment or responsibility. The system requires users to review AI results and must approve an AI Agent's proposed changes before they are applied to operational records.

By Ibrahim Elwazer