Sustainability Identifying and quantifying environmental impact represents one of the most effective environmental levers. AI can provide new insights to address Scope 3 emissions, which refer to all the emissions produced across an organization’s value chain and can account for 70% to 95% of an organization’s environmental footprint.6 Individually assembling data on facilities is a complex task given that such properties operate independently from the reporting company, but AI tools are able to generate accurate estimates of emissions at each stage of the production process. This AI-driven approach can produce Scope 3 emissions estimates at scale with previously unattainable detail. AI’s ability to improve supply chain visibility makes it invaluable for assessing environmental footprints, as required by the EU’s Carbon Border Adjustment Mechanism, for example. Scope 3 emission measurement BOX 2 Reducing Scope 3 emissions requires firms to have visibility, tracking and measurement for each input along complex product supply chains. Measuring Scope 3 emissions for an automobile, for example, requires tracking the steel and aluminium production involved in its components. AI and a range of new technologies can support efforts to reduce Scope 3 emissions by: –Improving specificity of emissions information inputs –Gathering facility-level data to improve accuracy –Reducing labour and costs involved in Scope 3 measurements –Improving collaboration with regulators and partner companies to accurately measure emissions and work to minimize them –Protecting data privacy and sovereignty by using federated learning models Such tools can improve Scope 3 emission reductions to create better environmental outcomes, sanctions enforcement, compliance with trade regulations and overall efficiency. Source: AltanaAI Inclusivity AI can support small and medium-sized enterprises (SMEs), which often lack the resources to navigate the regulatory complexity of global trade. Beyond the language barrier, challenges include finalizing contracts, obtaining finance and insurance, securing raw materials, and handling payments at each step of the process. Complex regulatory environments exacerbate the risks of non-compliance and create barriers to cross-border trade.Automation and support through AI can alleviate the burdens on SMEs and create a more level playing field by: –Breaking down language barriers to grant access to global markets –Helping businesses better comply with regulations –Anticipating shipping bottlenecks and supply chain backlogs –Predicting and suggesting responses to shocks DHL MyGTS DHL offers a self-serve platform, MyGTS, that enables shippers to compare and analyse trade regulations and requirements between the exporting and importing country, highlighting different regulations and requirements for goods to travel from export location to final customer. The tool helps companies plan their expansion into new markets and develop strategies to maximize their competitive advantages.MyGTS uses AI to distil trade agreements and estimated duties and taxes for sending various goods across different trade routes. The tools – which include estimates for shipping fees, insurance, customs duties and cross-border taxes – improve businesses’ ability to estimate the total cost of transporting products to their final destinations. Source: DHL BOX 3 8 Artificial Intelligence for Efficiency, Sustainability and Inclusivity in TradeTech

Artificial Intelligence for Efficiency Sustainability and Inclusivity in TradeTech 2025