Sustainability
Direct Emissions
Measuring and tracking scope 1 emissions can be a challenging task for several reasons that include data collection and management, the complex and diverse sources and most importantly, data quality: where ensuring the quality and accuracy of data is crucial in determining the correct level of emissions. Leveraging Prophesee capabilities such as data causality, and data maturity management are key in delivering success across a companies direct emissions.
Indirect Emissions
Scope 2 emissions refer to indirect emissions from the consumption of purchased electricity, steam, heating, and cooling. Measuring and tracking these emissions can also be challenging for several reasons dues to data availability and accuracy, complex energy supply chains as well as different methodologies for calculating emissions
Value Chain Emissions
80% of all emissions related to a company are down to scope 3 value chain emissions. These include both upstream and downstream, i.e. products / services sold and products/ services procured. Leveraging AI in manufacturing principles to deliver capabilities such efficient routing, dynamic stock management etc along with vendor emission assessments can not only deliver sustainability goals, but also act as a significant value driver in any organisation.
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