How to automatically plan transport orders in 2026?

Planning transportation orders is one of the most challenging tasks in logistics. In 2026, with immense pressure on margins and a shortage of personnel, manual route planning becomes an insurmountable barrier. Learn why artificial intelligence in the TMS system is no longer an "add-on," but a foundation of a profitable transportation company.

The Mathematical Maze: Why Planning is So Difficult?

Many transportation company owners do not realize the mathematical scale of the challenge faced by their dispatcher every day. With a fleet of only 20 vehicles and 40 orders per week, the number of theoretical combinations of assigning routes, loads, and time windows reaches millions.

Manual planning is a process burdened with a huge margin of error. The planner must mentally (or in Excel) connect hundreds of variables:

• Driver working time: current breaks, weekly limits, and Mobility Package requirements.

• Technical parameters: type of trailer, payload, vehicle certifications.

• Geopolitics: driving bans (holiday, vacation), cabotage, ecological corridors.

• Logistics: route, return to base, service and inspection deadlines.

How Much Does Manual Planning Really Cost You?

Before we move on to technology, let's calculate the real costs. In the traditional model, the dispatcher spends almost the entire day on reactive actions.

Time Balance of the Dispatcher (per month for 1 person)

In this model, the dispatcher has no time for strategy. Instead of seeking better contracts, they "put out fires" and move blocks in the table. Automatic planning in 2026 reduces this time by over 80%.

Manual Planning in Small and Large Companies - Where is the Money Going?

In smaller companies, the owner often personally oversees the plan. It is the easiest when only one vehicle can take an order. The problem begins when the company grows.

Scale Problem and the Planner's "Blind Spot"

In companies with 500 vehicles, many planners are working. Unfortunately, no human can look at the entire fleet holistically with every new order.

Common Scenario: A new, attractive order comes in. The planner sees that there is no "empty" vehicle for that load, so they reject it. Meanwhile, the AI engine would have noticed something different: "If I transfer an already scheduled order from vehicle A to vehicle B, then vehicle A will free up perfectly where there is a new, high-paying load".

Humans rarely manage to notice such logistic chains. These small oversights amount to hundreds of thousands of zlotys lost each year due to:

• High empty kilometers.

• Underutilized driver working time.

• Lower average daily revenue per vehicle.

What Does Automatic Planning in ONYX TMS Look Like Behind the Scenes?

The ONYX TMS system is not just another software for writing orders. It is an advanced tool, the core of which is an AI engine currently undergoing the patent process. This technology has been built over years, based on tests on fleets of 800 vehicles.

1. Speed and Data Consistency

After importing orders, the AI engine checks the entire fleet (even 500+ vehicles) in under 1 minute. The system analyzes all technical and legal parameters, displaying the result only for the best-suited vehicle. The foundation here is order in the data - in one place you have an overview of services, inspections, contracts, and documents.

2. Human Decisions are Final

In ONYX AI, it does not "govern" the company – AI is a brilliant assistant. The engine displays the proposed plan in a clear way. Only when the dispatcher approves it, does the driver receive a notification on their tablet with the ONYX Telematics system. This combines technology with human experience.

3. Precise Indicators (ETA, ETD, DDT, TT)

Modern TMS in 2026 must foresee the future. ONYX automatically calculates:

• ETA (Estimated Time of Arrival): Estimated time of arrival at the destination.

• ETD (Estimated Time of Departure): Estimated time of departure after loading.

• DDT (Desired Delivery Time): Desired delivery time specified by the customer.

• TT (Transit Time): Total transport time accounting for breaks.

As a result, you can share a link with the contractor showing the location of their load and precise arrival time. This builds trust and eliminates unnecessary phone calls.

AI in Transportation: From Magic to Everyday Reality

Do you remember how a few years ago generating realistic images or writing texts with ChatGPT seemed impossible? Today it is everyday life. This is exactly what's happening with transportation planning.

In 2026, automatic planning becomes the standard. Most "old" TMS programs cannot implement this, as their architecture is 10-20 years old. For them, AI is just reading data from PDFs (OCR). True AI is operational optimization, which cannot be created in a week.

Soon, every transportation company will be planning automatically. The question is: do you want to start now and gain an advantage, or join at the end when the competition is already years ahead of you?

What Will You Gain by Regaining Your Employees' Time?

Thanks to automation, your team will regain about 100-140 hours per month. This is time they can spend on:

• Acquiring better, more profitable orders.

• Building relationships with key contractors.

• Improving the quality of transportation services, which translates into better contracts and higher rates.

Automatic planning is not just savings - it is fuel for the growth of your company.

Do You Want to Test Automatic Planning and Challenge Your Planners?

Regardless of the size of your company, we invite you to test ONYX technology in practice. See how our AI engine performs with your fleet.

• 30 days of free trials without any commitments.

• Verification of the AI engine on your real data.

• Technical support in configuration.

Don't let your company be stuck in the era of manual planning. Step into 2026 with ONYX TMS.