How to connect logistics, finance and reporting into one automated process

In many companies today, logistics, finance and reporting work side by side, but not really together. Shipments are planned in one system, invoices are processed in another, accounting is run in a third, and reality checks are ultimately done in Excel anyway.

The result is usually the same:

• a lot of manual labor,
• lengthy checks,
• unclear exceptions,
• high dependence on specific people,
• long time between accepting a logistics order and its final invoicing.

In practice, from our observations on projects, this often means that 25-40% of back office time falls on repetitive manual activities and the time from the implementation of the shipment to the final invoicing ranges between 7 and 30 days.

This is one of the most common problems of companies that organize transportation, whether on the domestic market or across different countries. They work with multiple types of shipments and need to keep control of purchase prices, sales prices, invoicing and margin. The systems themselves are often not bad. The weak point is between them, specifically in places where data does not flow automatically, where there is a lack of unified logic and where the process is "glued together" with manual exports, emails and auxiliary files.

Where logistics companies most often encounter

A typical scenario looks like this:

• The dispatching office records transports in a logistics or TMS system (e.g.: Alpega TMS, Transporeon, SAP Transportation Management or Filogic TMS, etc.),
• Finance works in an ERP or accounting system (e.g.: Microsoft Dynamics 365 Business Central, Oracle NetSuite ERP, Exact Globe, Abra Flexibee, Pohoda, etc.),
• Received invoices go through a workflow tool for approval (typically, e.g.: Blue10, Basware, Esker or Medius, etc.),
• Above all this, an auxiliary control layer is created in Excel or a BI tool, where prices are added, the status of invoices is monitored and what is correct and what is not is verified. We often encounter people creating their own Excels, which further complicates the work.

On paper, it may look functional, but in practice, several recurring problems arise.

1. The first is data fragmentation. Information about transportation, supplier, customer, price, billing status and margin is not in one place. Each team sees only part of reality and the final check is done manually. In medium-sized transport companies, key data is typically divided between 3-6 systems and a number of Excel files are created (typically 3 or more).
2. The second problem is the high proportion of manual steps. People export data, add prices, compare invoices with the control file, forward information by email and manually mark what is correct and what is in dispute. All this slows down the process and increases the error rate. For one shipment or invoicing case, there are usually 8 or more manual interventions, which lengthens the process and increases the risk of error.
3. The third problem is poor exception management. As soon as a partial invoice, a credit note, a single invoice for multiple shipments, or an amount that differs from expectations arrives, the standard process stops and a human intervention is required. In practice, the share of these exceptions often ranges between 10-25% of all invoices received. If such cases increase, the administrative burden grows very quickly.
4. The fourth problem is invoicing to customers. In many companies, operations still sends an email to finance with information about what should be invoiced, for what period and at what price. Finance then prepares the invoice manually. Such a model is slow, prone to inaccuracies and difficult to scale.
5. And the fifth problem is the reporting itself. Management wants to see purchases, sales, margins, the status of invoices received, uninvoiced shipments and disputed cases. But if key data is entered manually and the control is carried out outside the main systems, reporting is not a live picture of the company. It is more of an after-the-fact overview of what probably happened. The result is reporting with a delay of days or weeks compared to actual operations.

The problem is in the process architecture

Many companies in this situation start asking themselves if they need better software. But in reality, there is another question that is more important:

Is our process properly designed from start to finish?

There are a number of tools on the market that cover individual parts of this chain. However, these layers alone do not solve the problem. The real value is created when they are connected into a single data flow and a single managed process.

This means that the transport is not just an operational record. From its inception, it must carry the correct data for purchasing, selling, checking and invoicing. The received invoice must not be checked against a manually maintained file, but against the expected data in the system. The issued invoice should not be created from an email between operations and finance, but directly from confirmed operational data. And reporting should not be an additional reconstruction, but an ongoing view of reality.

What a properly designed target state might look like

In a well-established process, there is one clear flow from transportation through cargo to revenue and reporting.

1. The shipment is created in the system with the correct links to the customer, carrier, type of service, price and expected billing scenario. Once the received invoice arrives, the system reads it, recognizes key data and attempts to automatically match it to a specific shipment or group of shipments. In standard cases, with well-set rules, 70-90% of automatic matching can be achieved without manual intervention. If everything matches the set rules, the invoice will proceed to approval and posting without unnecessary intervention.
2. If the amount does not match, the invoice is not blocked in email communication and notes in the table, the system marks it as an exception, describes the reason for the deviation and passes it to the correct role for resolution. This way, a person does not resolve every case, but only the non-standard ones.
3. The same principle applies to issued invoices. Once the shipment is ready for invoicing and the customer's business rules are met, the system creates a document or directly an invoice. Finance then does not check dozens of manual requests, but monitors exceptions, correctness and compliance with accounting logic. Based on internal measurements, this often reduces the time for preparing issued invoices by 40–80%.
4. And above all that is a dashboard that shows what was ordered, what was shipped, what was received from the supplier, what was invoiced to the customer, what is in dispute, what is missing, and what the actual margin is. That's the difference between a company that collects data and a company that really manages it.

Where automation and AI fit in

A large part of this problem can be solved with classic process automation, integrations, and clearly set rules. That's the foundation. Without that, you're just trying to automate chaos.

AI makes sense when the process is already well-established and needs help with more complex or ambiguous cases. Typically, where a simple rule is not enough.

This can be, for example, a situation where one invoice covers multiple shipments, when a partial invoice arrives, when the data is not entered completely uniformly, or when it is necessary to work with an unstructured email or attachment. In such a case, AI can help with data extraction from documents or invoices, suggesting matching, identifying anomalies, or recommending the next step for operations and finance. Depending on the quality of the input documents, the accuracy of key data extraction based on our projects typically ranges around 85 - 95%.

It is important to mention that AI is not a replacement for a poorly designed process. If a company is not clear about where the right data comes from, who owns the process, and what the rules for invoicing and approval look like, no smart tool will save it in the long run. If you are in this situation and cannot find a way out on your own, we will be happy to look into it together with you.

How to approach such digitalization

1. Description of reality. The company must know exactly how the shipment is created, when the purchase price is known, when the selling price is known, what invoicing options exist, when the invoice can be approved automatically, and what constitutes an exception.
2. Deciding where the main source of truth will be. If Excel actually fills this role today, it's a warning. The source of truth must be systemic, traceable, and shared across teams.
3. Design integrations and logic. It's not enough to just transfer documents between systems. You also need to transfer process status, shipment identifiers, pricing information, matching results, approval status, and billing status.
4. Setting up exception workflows. The goal is not for a person to control everything. It's about having the system handle standard cases on its own and people only handling what really requires judgment.
5. Reporting. As a natural output of the entire process. If the dashboard does not show reality in a timely and understandable manner, digitalization is not complete.

What will such a change bring to the company?

The biggest benefit of a project like this is not saving a few clicks, although that is certainly a noticeable improvement. The real benefit is removing a whole layer of manual coordination between departments and a huge amount of unnecessary communication and interruptions. In addition, you get rid of a large percentage of repeated manual errors.

Operations no longer need to send financial instructions by email. Finance no longer needs to manually track down what is still missing. Management no longer needs to wait for the monthly closing to understand where the company is currently standing, what the status of planned shipments is in the future, where problems are occurring or where margins are being lost. And the company no longer depends on the informal know-how of a few people who are the only ones who know how the whole process really works, which is often key in itself.

The result is faster operation, faster invoicing and cash flow from accepting an order to closing it even a few days later and crediting the money to the account, a reduction in error rates by up to 70%, better control over margins, and most importantly, greater certainty that the company is growing on a stable basis. The proportion of manual interventions is also significantly reduced by approximately 30 - 50%.

Connecting logistics, finance, and reporting into one automated process is not a luxury these days. It is a necessity for the company's continued growth.

It is not primarily about what specific software the company uses. Whether it runs on a specialized TMS, a robust ERP, a cloud-based invoicing workflow or a combination of multiple tools, the quality of the process between them is crucial. Where is the source of truth. How does data flow. How are exceptions handled. And whether the entire system gives management and operations real control and overview.

When these foundations are properly built, we can further use automation and AI to bring you what you expect from us:

• less manual labor,
• fewer errors,
• faster invoicing and better decision-making,
• freeing up your hands for further company growth.

Bonus at the end - Not only the office, but also your drivers are important

Finally, I'll take a small digression. When talking about automation in transport, most companies imagine invoices, reporting, approvals or integration between systems. But it's not just about the office. You can also be effective in the field. And that's where drivers play an absolutely crucial role.

Compared to the text above, how the company communicates with drivers is no less important. How do they receive information about loading and unloading? Where can they find instructions, contacts or changes during the transport? Where do they get information about the fuel card or where is the nearest place where they can refuel? Is the onboarding of new drivers going smoothly? Is there a process for this? And how do drivers send back delivery notes, confirmations or other documents that the company needs?

In our experience, this part of digitalization is often underestimated. If communication today takes place via phone calls, messages, WhatsApp, etc., unnecessary chaos and delays arise. However, the moment it is possible to connect dispatching and backoffice processes with high-quality communication towards drivers (for example, using a suitably designed mobile application for drivers), the entire transport chain will start to function even better. Drivers have easier access to information, the company receives documents faster and in a more structured form, and follow-up processes, including invoicing, can move much closer to true automation. After digitizing field communication, companies often reduce the time for delivering documents from drivers from the original days or hours to just minutes from receiving the document, while at the same time reducing the number of operational calls for transport.

Are you dealing with a similar situation? Get in touch with us. We would be happy to review your current situation with you. We will conduct a technical and operational audit of your current workflows and systems, identify potential obstacles, and propose the best solution that will fit your company's needs exactly.