FedEx Introduces FedEx® Sustainability Insights in AMEA to Support Customer Emissions Reporting

FedEx Corp. (NYSE: FDX) has launched a new tool, FedEx® Sustainability Insights (FSI), giving customers in select Asia Pacific, Middle East, and Africa (AMEA) markets* access to emissions information on their shipments within the FedEx network. They can use the data to help make informed decisions on their future shipping strategy in order to reduce their impact on the planet. 

Created by FedEx Dataworks, the innovative cloud-based data engine uses near-real-time FedEx network data to estimate CO₂e emissions. Customers can view emissions data for individual tracking numbers as well as aggregate historical data for their accounts. Data displayed in the tool includes mode of transport, service type, and country or territory for all eligible FedEx Express® shipments.^**

With sustainability being a strategic priority for businesses of all kinds, FedEx® Sustainability Insights is a tool that can give customers better visibility of emissions within their supply chains and support reporting and strategic future planning. 

“Environmental stewardship and transparent sustainability reporting is now a universal business imperative. At the same time, consumers also consider sustainability in their decision-making for e-commerce purchases,” said Kawal Preet, president of Asia Pacific, Middle East, and Africa region, FedEx Express. “FedEx® Sustainability Insights gives our customers direct access to emissions data they need to help them decide how to meet consumer expectations and drive their own business and sustainability efforts forward.”

The new offering complements FedEx ongoing efforts to achieve carbon neutral operations by 2040. FedEx is focusing on areas such as electrification of FedEx pickup and delivery vehicles; more efficient facilities, fuels, and fleets; and investments in natural carbon capture. FedEx® Sustainability Insights will support its work toward this goal by providing insights into further opportunities for network efficiency with data-backed predictive insights and modelling.