Artificial intelligence (AI) in the trucking industry is no longer an aspirational concept or a technological fad; it is a reality and a prevailing concept that must be addressed. This was the motivation behind the 3rd Trayecto Forum , where the impact of this tool was discussed, along with how truck and technology suppliers are incorporating it.

Hernán Guerra, IT director of Trayecto  (number 1 in the  Top 100 of Autotransport® ), was responsible for moderating the conversation, whose central idea was: AI is already directly impacting the efficiency, profitability and safety of the sector .

The participants’ approach focused on showcasing real-world examples, measurable results, and a pragmatic view of technology adoption. Rather than making futuristic predictions, the conversation centered on how AI is helping to make better decisions, reduce uncertainty, and transform processes that have historically been reactive.

From prevention to profitability

One of the greatest contributions of artificial intelligence is consistency in decision-making. In an environment where each truck generates tens of thousands of data points, AI makes it possible to identify patterns, anticipate failures, and prioritize risks without relying on subjective judgment , said Jorge Vargas, Strategy Director of Daimler Truck Mexico .

Predictive maintenance was one of the clearest examples. Servicing a unit before it fails can extend its lifespan by up to 30% and generate savings of between 18% and 25%, in addition to improving capital utilization. In practice, AI functions as a preventative system that “diagnoses” the vehicle before the problem becomes critical.

This approach also extends to route allocation, trip balancing, and empty mileage reduction, relying on algorithms that constantly learn and are fed by external data such as maps, traffic, and weather conditions. The ultimate goal is clear: greater operational efficiency and consistent decisions that directly impact profitability.

AI from manufacturing and operations

Artificial intelligence doesn’t just act when the truck is already on the road, but from much earlier, in the design and development phases , as shared by Javier Valadez Ortega, Director of Operations at PACCAR Mexico .

The use of virtual reality, mixed reality, and AI allows for the simulation of components, the validation of aerodynamics, and compliance with regulations without the need to build physical prototypes, reducing time and costs. Seemingly minor adjustments, such as mirrors or deflectors, can generate fuel savings of up to 2%, a significant figure when scaled to entire fleets, Valadez Ortega added.

Furthermore, AI is already being used to simulate engine behavior at different altitudes and under varying conditions, optimizing performance in complex geographies like Mexico. This demonstrates that decarbonization is not limited to electrification, but rather involves optimizing every variable that impacts fuel consumption .

In day-to-day operations, Javier Valadez highlighted another immediate benefit: administrative automation . Processes such as CFDI (  Digital  Tax  Receipt via  Internet) , customs declarations, and foreign trade registrations can reduce operating time by up to 80%, freeing up resources for strategic activities.

Digital agents, security and culture

The panel also addressed how AI is transforming everyday logistics operations. Marcos Diehl, head of Latam at HappyRobot , demonstrated how digital agents are already performing complete tasks: scheduling appointments, handling incidents, negotiating loads, coordinating shipments, and managing collections, without constant human intervention.

Specific cases demonstrated dramatic reductions in time and costs, as well as improvements in service levels. AI not only recommends, but also acts, becoming a digital workforce that operates 24/7 and scales according to demand.

In terms of safety, the conversation was particularly relevant. Trayecto and HappyRobot agreed that prevention is AI’s greatest value. From internal cameras that detect fatigue, seatbelt use, or unauthorized presence , to systems that validate identity by voice or face and activate automatic protocols, the technology is already helping to significantly reduce theft and accidents.

However, the biggest challenge is not technical or financial, but cultural. Adopting artificial intelligence requires training, awareness-raising, and clear communication with operators and administrative staff. AI is not meant to replace people, but to reduce their operational workload and allow them to focus on critical decisions.

The conclusion: artificial intelligence is already transforming trucking , but its true value depends on how it’s integrated into operations. It’s not about buying technology, but about understanding it, adapting it, and turning it into a business enabler.

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SAN PEDRO GARZA GARCÍA, NL – Reducing road accidents and highway robberies to zero may seem like a utopia, but for Motive México it is an achievable goal if the transportation industry fully embraces artificial intelligence.

This was the point made by Omar Camacho, CEO of Motive Mexico , during the workshop on AI and Technology for a Safe, Smart, and Profitable Fleet, as part of ETYL 2025, where he shared worrying data and concrete solutions to address the sector’s main challenges.

“Freight transport represents nearly 5% of the national GDP, but theft alone generates losses equivalent to 0.5% of the total, in addition to the human and operational costs involved,” Camacho said.

He explained that a robbery occurs on the country’s highways every 24 minutes , and 40% of them originate from within organizations , reflecting the urgency of integrating more predictive and less reactive technologies.

At the same time, road safety is experiencing alarming deterioration. Mexico is now the country with the second-highest growth in road accidents worldwide.

“These are tragedies we can prevent. AI can reduce accidents by up to 80% in less than a year,” the executive emphasized.

Camacho explained that Motive develops its technology based on Computer Vision , a branch of AI that “allows systems to see, understand, and react to their environment accurately and in real time.”

In practice, this translates into a “ digital copilot ” capable of detecting distractions, drowsiness, or risky behavior, alerting the driver in seconds, and generating information for personalized training.

“Cell phones have become an epidemic of distractions. A digital copilot doesn’t tire, isn’t distracted, and can save lives,” Camacho said.

He also shared examples of how Motive’s systems learn from thousands of hours of video to identify complex human signals such as fatigue and microsleeping.

During the session, attendees—representatives of transportation and freight companies—shared experiences that reflect current gaps in visibility, monitoring, and emergency response .

They agreed that, despite the use of cameras and GPS, the processes remain manual and reactive.

“We face thefts even with cameras installed, but if the video isn’t uploaded to the cloud, we have no evidence or defense,” commented one participant.

Camacho emphasized that Motive’s vision goes beyond traditional tracking or telemetry .

“The fleet must be understood as an interconnected ecosystem. It’s not enough to know where the truck is, but why it’s there, what conditions it faces, and how to make the operation more productive in real time,” he said.

The Motive Analytics platform integrates data on fuel consumption, operator behavior, maintenance, and safety, with the ability to answer natural questions like, “How many kilometers did we drive this month?” or “Where is the diesel consumption abnormal?” , providing immediate insights for decision-making.

In addition, the company is promoting modules for digital document management and regulatory compliance , such as the monitoring of pipelines and hydrocarbon transport required by the Energy Regulatory Commission, in order to prevent fuel theft and ensure full traceability.

“Technology alone doesn’t change reality; it does when it connects with people. Every driver, every unit, and every piece of data is part of an ecosystem where artificial intelligence can save lives, protect assets, and build more humane transportation,” he asserted.

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Under the slogan ” Foreign trade in a world of transformation , ” Gomsa held its first in-person event since the pandemic, a forum that brought together specialists, clients, and strategic allies in a space for dialogue on the new challenges of international trade, in a global context marked by technological disruption and growing geopolitical complexity.

During the opening ceremony, Guillermo Violante, CEO of Gomsa Logística , thanked the participants for their attendance and announced that these types of in-person meetings will continue to be held not only in Mexico City but also in other cities across the country.

“We want this event to be a conversation among colleagues, an open space to share ideas, resolve concerns, and strengthen ties,” he said.

Throughout the day, panels and lectures focused on the major changes redefining global supply chains.

Experts agreed that artificial intelligence, automation, trade conflicts, and changes in tax policies are shaping a new era of foreign trade.

Faced with this situation, Gomsa reaffirmed its commitment to innovation through comprehensive services supported by a trained team and technological developments that allow its clients to know the real-time status of their customs operations and the exact location of their merchandise.

During the event, the company presented its portfolio of logistics solutions , highlighting its ability to offer comprehensive support throughout all stages of the supply chain.

In terms of customs services , Gomsa has its own patents and the experience of certified specialists who guarantee secure processes, both legally and fiscally.

Regarding ground transportation , the company operates a fleet of trucks managed from a command center equipped with communications and geolocation systems, allowing for efficient route planning that optimizes time, reduces costs, and ensures proper cargo handling both domestically and internationally.

Within the freight forwarding sector , Gomsa offers multimodal solutions that combine different modes of transport to expedite shipments and ensure their safety, adapting to the changing dynamics of global trade.

Likewise, in contract logistics , the company strategically manages warehousing and distribution, understanding that these are key components for the proper functioning of supply chains.

The portfolio is complemented by cargo insurance , which protects products from their origin to their final destination anywhere in the world, and by its comprehensive logistics approach , which unifies customs, transportation, and storage services under an advanced technological platform, capable of aligning with the specific objectives of each client.

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