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• ETYL CALI-BAJA 2026
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CALI-BAJA

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• ETYL CALI-BAJA 2026
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El punto de encuentro de los líderes logísticos de Cali-Baja

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Home FEATURED

Technology, AI, and security are redefining fleet management in Mexico

Fleet management in Mexico is accelerating its transformation towards 2026, driven by artificial intelligence, digitalization and greater security requirements to operate efficiently and sustainably in an increasingly demanding logistics environment.

T21 Media by T21 Media
26 January, 2026
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Fleet management in Mexico is undergoing a profound transformation driven by the growth of transportation and logistics , the acceleration of e-commerce, and the need to operate with greater efficiency, visibility, and safety.

In this context, technology, particularly artificial intelligence (AI) and comprehensive digitalization , has become a key enabler for managing increasingly large and complex fleets.

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According to Ernesto Cruz, Technology Director at Boxtires , the breaking point for many companies occurred after the COVID-19 pandemic, when the volume of vehicles and logistical demand exceeded the capabilities of a traditional administration.

“If you don’t implement technology, there comes a point when the size of the fleet exceeds any manual control. A vehicle is an asset with a life cycle that must be fully registered, documented, and monitored so that it truly fulfills the function for which it was acquired,” he explained in an interview.

Faced with this scenario, Boxtires opted for the development of its own platform , designed to comprehensively manage the vehicle assets of its clients.

However, Cruz explained that the growth in data volume, new cybersecurity risks, and asset diversification led them to redesign the platform from the ground up, incorporating AI and security from the source code.

“Today the platform is born with AI and security parameters integrated from the development stage. It’s not something that’s added later,” he noted.

Among the technologies used are advanced database and search engines , similar to those used by companies like Google or Amazon, as well as new query schemes based on artificial intelligence, in the style of generative platforms.

The benefit for customers translates into timely and real-time tracking of all procedures and services received by each vehicle, as well as the generation of a complete electronic file, which safeguards the entire history of the asset throughout its useful life.

“This is useful for both the client and our administrative, management and control desk areas,” he added.

Cybersecurity, one of the biggest challenges in the sector

One of the main challenges for technology adoption in fleet management is information security. Cruz acknowledged that handling sensitive data for large companies makes this sector a constant target for attacks.

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“Cybersecurity is a huge challenge, not only for Boxtires, but for any company that handles third-party information. There are too many avenues of attack and too many actors involved,” he stated.

In this context, AI plays a central role. From filtering emails, documents, and messages, to verifying IP addresses and validating files entering or leaving the platform, AI makes it possible to detect risk patterns, malicious microcode, and anomalous behavior before they pose a threat.

According to Boxtires, the industry is evolving towards models based on operational efficiency, flexible acquisition schemes and comprehensive digitalization supported by telemetry, big data and artificial intelligence.

Ernesto Cruz predicted that fleet management will become increasingly linked to physical and digital security . With vehicles becoming more connected, equipped with GPS, cameras, and remote control systems, the challenge will be managing large volumes of data without compromising the integrity of operations.

“Transmitting and storing data to protect the operator and the vehicle is one of the great challenges of the future. Today we can already stop a vehicle, start it, or analyze entire routes; the challenge is to do it safely and efficiently,” he emphasized.

Comment and follow us on X: @jenna_GH_ / @GrupoT21

Tags: artificial intelligenceBOXTIRESCybersecurityDARABASESDIGITIZATIONFLEET MANAGMENT

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índice de Confianza del Transporte y Logística – Cuarto trimestre 2023 10 destinos de exportación de vehículos pesados 2023 Descubre el Top 10 de destinos de exportación de vehículos pesados en México en 2023 La venta de vehículos pesados rompe récord en 2023 5 marcas de camiones más vendidas