Technological evolution in logistics is no longer limited solely to the physical movement of cargo, but to the ability to convert billions of daily data points into strategic decisions, protecting the most valuable asset in the supply chain: the human factor .
This is how they envision it at Geotab , where they start from an ecosystem that has a vision of data management for transport and logistics, in an environment where security is prioritized.
Talking about the advanced use of artificial intelligence (AI) is complex, but when you consider that more than 100 billion data points are analyzed daily from connected fleets, you understand that it is precisely through AI that those data points that are not necessary are filtered out to make decisions that contribute to fleet productivity, as described by Mike Branch, Vice President of Data & Analytics at Geotab.
Based on Geotab’s Road Safety Report , which identified that 43% of operators expressed concern and stress about maintaining high levels of productivity , Geotab has been working on recognition programs that seek to reward good performance and the work of operators using data-driven metrics, Branch added.
Juan Cardona, Vice President of Sales for Geotab in Latin America, described how part of the work they do using available data is to achieve better planning to improve delivery processes or the movement of goods, “so that we can really reduce work-related stress for drivers and create a better, more optimal environment in the company . “
Regarding the risk of data handling, Mike Branch noted that the use of technology is backed by federal certifications (such as the US regulations applied to official vehicles), which guarantee high standards of protection and reliability in the use of information.
“We have risk reassessment protocols and automated audits using artificial intelligence to ensure that data is not misused or improperly exposed,” Branch emphasized.
One of the advantages that Mexican carriers have identified with the use of the available data series is the ability to compare their risk behavior with global standards thanks to big data analysis, facilitating the demonstration of efficiency to their national or international corporations, which allows them to obtain accurate data.
“With the integration of advanced language models, operators and administrators can interact through simple natural language queries, facilitating access to massive repositories of information from multiple devices (tractor-trailers, trailers, motorcycles, etc.),” Branch explained.
Data proves reality
Geotab’s Road Safety Report shows that the problems faced in Latin America are shared with Europe and the United States.
While 94% of respondents in the report say that the risks to their operations have increased in the last five years, the percentage reached for Europe is 95% and in the United States it is 86%.
Furthermore, a second finding highlights the reality of the safety challenges. This report indicates that, among other dangerous behaviors, 60% of drivers use mobile devices while driving. Another significant risk, at 55%, is the presence of motorcycles, scooters, and bicycles traveling at high speeds, Juan Cardona explained.
Meanwhile, speeding vehicles account for 41% of the risks.
Juan Cardona stated that there are various costs associated with accidents, ranging from those related to vehicles and operations, as well as the opportunity costs that are not taken advantage of, and a factor that has high relevance, the reputational impact.
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