Last April, Geotab released its 2023 sustainability and impact report titled “Peace of Mind. Transparency. Transformation,” highlighting how data usage is helping the company and various organizations worldwide better measure and meet their climate goals.
In this regard, the company itself has been a success story, having recorded a 41% reduction in its own emissions. Additionally, the report addresses the more complex challenges of business management and environmental impact, such as the increase in business travel and the essential transparency regarding Scope 3 emissions.
“The climate crisis demands action. The transportation sector is one of the largest sources of CO2 emissions and has a significant short-term opportunity to make a positive impact,” said Neil Cawse, Founder and CEO of Geotab.
“As a company within this industry, we have a moral obligation to do everything possible to support carbon emission reductions, not just for ourselves but also for our customers. It has to be a collaborative approach; there are too many challenges to address, and it is not possible to solve them in isolation,” he continued.
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Geotab by the Numbers
The report shows that Geotab has made significant progress in reducing both direct and indirect operational emissions over the past year:
In Scope 1, which tracks emissions produced by sources controlled or owned by Geotab, the company recorded a 41% decrease in GHG emissions in 2023 compared to 2019.
In Scope 2, which monitors indirect emissions from electricity purchased by Geotab, the company achieved a 35% reduction in GHG emissions in 2023 compared to 2019.
On the other hand, in terms of challenges, Geotab reports that in Scope 3, which tracks indirect emissions (such as supply chain activities), there was an 11% increase in 2023 compared to 2019.
This increase was mainly due to higher purchases of goods and services, business travel, and staff commuting. Finally, collecting accurate and reliable data on Scope 3 emissions across the value chain presents challenges, especially due to the varying availability of data in different regions.
