Planning transport orders is one of the most difficult tasks in logistics. In 2026, with immense pressure on margins and a shortage of staff, manual route planning is becoming an impassable barrier. Learn why artificial intelligence in a TMS system is no longer an “add-on” but the foundation of a profitable transport company.
The Mathematical Labyrinth: Why is planning so hard?
Many transport company owners do not realize the mathematical scale of the challenge their dispatcher faces daily. With a fleet of just 20 vehicles and 40 orders per week, the number of theoretical combinations for assigning routes, loads, and time slots runs into the millions.
Manual planning is a process fraught with a huge margin of error. A planner must combine hundreds of variables in their head (or an Excel sheet):
- Driver working time: current breaks, weekly limits, and Mobility Package requirements.
- Technical parameters: trailer type, payload, vehicle certifications.
- Geopolitics: driving bans (holiday, seasonal), cabotage, environmental 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 a traditional model, a dispatcher spends almost the entire day on reactive actions.
Dispatcher Time Balance (Monthly per person)
| Activity | Daily Time | Monthly Time |
|---|---|---|
| Analyzing truck and order availability | 1.5h | 30h |
| Analyzing driver working hours | 0.5h | 10h |
| Phone calls to drivers and clients | 2h | 40h |
| Writing emails and confirmations | 2h | 40h |
| Verifying routes and bans | 1h | 20h |
| Total | 7h | 140h |
In this model, the dispatcher has no time for strategy. Instead of looking for better contracts, they “fight fires” and move blocks in a spreadsheet. Automatic planning in 2026 reduces this time by over 80%.
Manual planning in small vs. large companies—where is the money leaking?
In smaller companies, the owner often personally oversees the plan. It is easiest when only one vehicle can accept an order. The problem starts when the company grows.
The scale problem and the planner’s “blind spot”
In companies with 500 vehicles, many planners are employed. Unfortunately, no human is able to look at the entire fleet holistically for every new order.
A common scenario: A new, attractive order appears. The planner sees that there is no “empty” truck for this load, so they reject it. Meanwhile, the AI engine would notice something else: “If I transfer an already planned order from truck A to truck B, truck A will become free perfectly where the new, high-paying load is.”
Humans are rarely able to notice such logistics chains. These small oversights result in hundreds of thousands of dollars lost annually through:
- High empty kilometers.
- Unused driver working hours.
- 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 program for issuing orders. It is an advanced tool whose heart is an AI engine currently undergoing a patent process. This technology was built over years, based on tests on fleets consisting of up to 800 vehicles.
1. Speed and data consistency
After importing orders, the AI engine checks the entire fleet (even 500+ trucks) in under 1 minute. The system analyzes all technical and legal parameters, displaying the result only for the best-matching vehicle. The foundation here is organized data—in one place, you have a preview of services, inspections, contracts, and documents.
2. The human decision is final
In ONYX, AI does not “rule” the company—AI is a brilliant assistant. The engine displays the proposed plan in a clear manner. Only when the dispatcher approves it does the driver receive a notification on their tablet via the ONYX Telematics system. It is a combination of technology and human experience.
3. Precise indicators (ETA, ETD, DDT, TT)
A modern TMS in 2026 must see the future. ONYX automatically calculates:
- ETA (Estimated Time of Arrival): Predicted arrival time at a point.
- ETD (Estimated Time of Departure): Predicted departure time after loading.
- DDT (Desired Delivery Time): The delivery time requested by the client.
- TT (Transit Time): Total transport time, including mandatory breaks.
Thanks to this, you can provide the contractor with a link showing the location of their load and a precise arrival time. This builds trust and eliminates unnecessary phone calls.
AI in Transport: From magic to everyday reality
Do you remember how just a few years ago, generating realistic images or writing texts via ChatGPT seemed impossible? Today it is everyday life. Exactly the same thing is happening with transport planning.
In 2026, automatic planning is becoming the standard. Most “old” TMS programs are unable to implement it because 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.
In time, every transport company will plan 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 reclaiming your employees’ time?
Thanks to automation, your team will reclaim about 100-140 hours per month. This is time they can devote to:
- Acquiring better, more profitable orders.
- Building relationships with key contractors.
- Improving the quality of transport services, which translates into better contracts and higher rates.
Automatic planning is not just about savings—it is the fuel for your company’s growth.
Want to test automatic planning and give your planners a challenge?
Regardless of your company size, we invite you to check ONYX technology in practice. See how our AI engine handles your fleet.
- 30 days of free testing with no obligation.
- Verification of the AI engine on your real data.
- Technical support in configuration.
Don’t let your company stay in the era of manual planning. Enter 2026 with ONYX TMS.
