The vehicle tracking and security technology market in Mexico has experienced significant growth, with an increase in thefts detected in states such as Puebla, Estado de Mexico, Hidalgo, and Tlaxcala in recent months. Although some local strategies have managed to reduce incidents in certain areas, crime tends to shift to neighboring zones. For this reason, there is a push to integrate all the information gathered into a centralized system that provides companies with a comprehensive and real-time view of their logistics operations.
To address the rise in insecurity on Mexican roads, logistics, transportation, and security companies have been compelled to radically transform their strategies. Currently, Mexico not only consumes technological solutions but also develops them, generating not just software but also hardware and complete ecosystems to protect supply chains.
The development of highly effective tracking platforms has proven to reduce thefts to zero, with standardization plans with C4 and C5 control centers, as well as with the National Guard in various entities of the country. These tools are designed to protect more than 2.5 million vehicles that travel on Mexican roads, focusing on preventing crime through the use of advanced technologies that allow risks to be detected before they occur.
According to data from the National Association of Vehicle Tracking and Protection Companies (ANERPV), 84 percent of cargo transport thefts are concentrated in two critical areas: the Central region of the country and the Bajío-Occidente corridor. This information has been made possible through the analysis of georeferenced data, which has become the standard for supply chain security.
The Director of Security and Intelligence of the Supply Chain for Latam at Overhaul and President of ANERPV, Luis Enrique Villatoro Martínez, emphasizes the importance of data analysis to accurately identify risk hotspots. Villatoro Martínez highlights that data-driven technology with geographic coordinates, date, and time allows for the identification of criminal patterns with great precision to generate effective preventive strategies.
The use of artificial intelligence (AI) in logistics has become essential to anticipate and prevent incidents, becoming a key tool for companies in the sector. "It is much more effective to prevent than to react when it is already too late," concludes Villatoro Martínez.
