Skip to Content

Data: A powerful ally in tackling Scope 3 emissions-reduction targets

How companies can use artificial intelligence and machine learning across the supply chain to address mandates and meet sustainability goals

The days of focusing solely on direct emissions are over. New mandates are pushing companies to account for their full environmental impact. One area of growing pressure is setting ambitious Scope 3 emission reduction targets.

Scope 3 encompasses emissions that occur throughout a company’s value chain, including those from suppliers, customers, and the use and disposal of products.

Supply chains represent a significant opportunity for reduction, but many enterprises struggle to measure and report their carbon footprint across the entire value chain. One major roadblock is data access.

Technology can help

Some suppliers do not have the capability to provide data to inform Scope 3 reporting. Or data is often stored in disparate formats, such as PDFs, annual reports, geospatial data, along with countless other inputs.

Companies must extract data from a variety of sources and connect it to compute Scope 3 emissions. This is where technology plays an essential role.

Artificial intelligence (AI) and machine learning (ML) are revolutionizing Scope 3 emission tracking. These powerful tools can analyze supplier data, consumer usage patterns, and satellite imagery to provide granular carbon footprints for products and uncover hidden emissions hotspots. Companies can leverage these insights to make informed decisions on how to reduce their Scope 3 emissions based on this data.

Capgemini has identified four key opportunity areas for using AI and ML for Scope 3 tracking:

  • Data fusion and analysis
  • Predictive modeling
  • Supply chain optimization
  • Decision support systems

For more than two decades, Capgemini has prioritized sustainability and invested in innovations that help clients meet their net-zero goals. Capgemini also works with leading technology partners to help companies harness the potential of data and optimize their systems and processes sustainably.

Take the first step toward a more sustainable future by exploring how AI and ML can empower your organization to reduce Scope 3 emissions.