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AI in Transport: Is the Future of Logistics Happening Today?

Find out how AI is transforming planning, costs, and operational decisions in TSL. A practical guide for companies looking to implement automation wisely.

AI in Transport: Is the Future of Logistics Happening Today?

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The transport industry is on the cusp of its greatest transformation since the invention of the internal combustion engine. It is no longer just a matter of faster trucks or better infrastructure—this is the era of data and algorithms. On March 24, 2026, during the prestigious MIT UAISummit, Adrian Mirowski (CEO of ONYX) will participate in the panel discussion “The Intelligent Supply Chain: AI from Factory Floor to Final Delivery”. This event is not just about prestige, but primarily a signal to the industry: AI in transport is not a song of the future; it is a tool we must master today to avoid being left behind.

The beginning of a new era - time to explore

We are currently in a phase that can be called the “early dawn” of artificial intelligence in logistics. This is the perfect time for testing, implementing, and setting directions. Companies that invest time now to understand how vehicle telematics and intelligent algorithms can optimize their processes will gain an advantage that will be impossible to make up in the future. Waiting for “ready-made solutions” in 5 years may mean not having a seat at the table.

ONYX Vision: Transport without unnecessary intermediaries

The heart of the revolution proposed by AI ONYX is the elimination of inefficiency. Imagine a system where a shipper adds a transport order, and the ONYX ENGINE AI automatically, in real-time, matches it to the best-positioned vehicle from a global pool. Without dozens of phone calls, without unnecessary email exchanges, and—most importantly—without traditional forwarding acting as a “relay”.

It is a classic win-win situation:

  • For the shipper: Lower freight price thanks to resource optimization.
  • For the carrier: Higher margin thanks to the elimination of “empty miles” and better volume utilization.

Thanks to AI, companies don’t need to know each other beforehand to establish effective cooperation. The algorithm becomes the guarantor of optimal matching and reliability.

Advanced telematics: More than just GPS

Modern telematics is more than just a dot on a map. In the ONYX vision, intelligent systems go a step further. Telematics for drivers combined with AI will allow for:

  1. Precise ETA planning: Factoring in not only traffic jams but also the driver’s actual working time and dynamically changing road conditions.
  2. Complex supply chains: Planning routes involving multiple points (A, B, C, D, E…) in a way that maximizes profit and minimizes fuel consumption.
  3. Driver well-being: The system takes human preferences into account—e.g., automatically planning the route so that returning to the base or home happens on the expected date.

Will AI take jobs?

This is the most common question, and the answer is clear: AI in transport will not replace specialists, but it will change the nature of their work. There will always be plenty of work in transport companies, and artificial intelligence is intended to be a support in the fight for margins.

There is, however, a group for whom the future looks bleaker—the so-called “dispatch forwarders.” Entities that deal solely with re-typing orders and bring no real added value to the supply chain will simply become redundant in a world dominated by AI ONYX. Their role will be taken over much faster, cheaper, and more accurately by an algorithm.

Expert discussion at MIT UAISummit

The panel featuring Adrian Mirowski promises to be fascinating. The discussion will be moderated by Paweł Gora, PhD (CEO of the Quantum AI Foundation), and alongside the CEO of ONYX, distinguished specialists will appear:

  • Prof. Alexandre Jacquillat from MIT Sloan - an expert in operations research and statistics.
  • Jan Kwapisz - CTO of Omniviser.
  • Michał Nycz (InPost) - specialist in sales excellence and efficiency.
  • Javier Reinoso Velasco (Aliaxis) - supply chain management practitioner.

What can you expect? A deep analysis of how AI realistically impacts the product’s journey from the factory floor to the final customer’s door. It will be a clash of MIT’s academic knowledge with the business practice of market leaders.

Join us!

Want to know how to prepare your company for the upcoming changes? We invite you to follow the panel and participate in the MIT UAISummit. This is where the standards that will soon apply to every European route are born.

Check event details at: uaisummit.mit.edu

Want to learn more about how ONYX ENGINE AI is changing the rules of the game? Contact us and see how our solutions can increase your fleet’s profitability.

About the author

Piotr Zielinski

TSL Expert

Supports carriers in the area of road regulations, telematics, and the safe implementation of regulatory changes.

FAQ

Is AI in transport in 2026 a real advantage or just a buzzword?

In the context of this article, it is a real advantage if AI supports specific operational decisions: vehicle-to-order matching, reducing empty miles, precise ETA, and better utilization of driver working hours. The "AI" label alone, without an impact on margin and punctuality, provides no value.

Which areas offer the fastest return on investment from AI implementation in a transport company?

The areas highlighted in the text pay off the fastest: automatic matching of orders to the fleet, route planning that considers real driver constraints, and the reduction of manual work for the dispatcher. This directly translates into fewer errors and higher profitability of trips.

Why are a map and GPS alone not enough for effective transport planning?

The article emphasizes that modern telematics with AI should take into account not only geolocation but also working time, multi-stage supply chains, and variable road conditions. Only such a combination provides reliable ETA and reduces operational costs.

Will AI take away the jobs of forwarders and dispatchers?

No. In the presented approach, AI takes over repetitive tasks and supports analysis, while the human makes the business decisions. The job profile changes: less manual re-typing and firefighting, more planning, margin control, and customer service.

How to prepare a company for AI implementation without operational paralysis?

First, it is worth organizing data and processes (order, execution, settlement), and only then adding automation and prediction. The article points to the "early exploration" stage as the best time for testing, as it allows for building an advantage before the market becomes saturated.

What does ONYX’s participation in the MIT UAISummit 2026 panel mean for the market?

It is a signal that the topic of AI in logistics has moved from marketing to a strategic discussion about the end-to-end supply chain. For carriers, it means the necessity to actively monitor trends and implement tools that improve the financial result here and now.

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