UPU

Prediction of postal item delivery day on the UPU global track and trace system

Global

The UPU’s global postal supply chain consists of almost 700,000 postal access points and reaches 95% of the world’s population for the delivery of postal items; mail, parcels and postal payments. In the delivery process to the addressee, the provision of reliable information on the expected delivery date of the postal item is a challenge, especially so for postal operations in least developing, developing countries and small island developing states. Using machine learning models trained on postal big data, the UPU’s global track and trace solution (

Activity Type AI Tools/Solutions

UPU

State of the Postal Sector Report

Global Not Applicable

Artificial intelligence (AI) is at the forefront of revolutionizing the next wave of postal services. The "State of the Postal Sector" report, UPU’s flagship publication, delves into AI's transformative role in fostering enhanced collaboration among postal sector stakeholders worldwide. Spanning two dedicated chapters, the report explores the vast, yet to be fully realized, potential of AI within the sector and among UPU member states. It outlines a strategic roadmap to capitalize on AI, detailing pivotal use cases that could significantly elevate the efficiency and innovation of postal services at all development levels.

Activity Type Research/Reports/Assessments

UPU

Detection of dangerous (and prohibited) goods in the UPU postal network

Global Not Applicable

The UPU postal network is sometimes used for illegal traffic (such as: drugs, counterfeit items) and dangerous items (such as: inflammable/explosive products) that may get injected into the network. The Dangerous Goods Search tool (DGST) uses machine learning models trained on postal big data, to score the likelihood of the item to be dangerous (or prohibited). At the time of this report, the system is still under User Acceptance Tests (UAT) and we do not have as yet metrics to report. In the future, there are plans to interface the DGST with other intelligence databases, and offer a comprehensive tool to postal officers in charge of protecting the postal network.

Activity Type AI Tools/Solutions

ITUUNEPUNESCOUNFCCCUPUWMO

Global Initiative on Resilience to Natural Hazards through AI Solutions

Global GreeceItalySlovakiaSpain

The Global Initiative on Resilience to Natural Hazards through AI Solutions seeks to advance the use of AI and other emerging technologies in disaster management while ensuring it is safe, responsible, and effective. A core focus of the initiative is laying the foundation for international AI standards and best practices to guide the design, deployment, and governance of AI solutions for hazard detection, monitoring, response, and recovery. By convening expert working groups, workshops, collaborative challenges, and connecting the dots between standards and existing proof-of-concept projects connecting the dots between standards and existing proof-of-concept projects, initiative provides a platform for governments, industry, and civil society to contribute to interoperable, ethical, and inclusive AI frameworks. Through these standards-driven efforts, the initiative aims to strengthen resilience to natural hazards and support the UN’s broader goals of disaster management, sustainable development, and technological innovation.

Activity Type AI Tools/SolutionsTrainings/WorkshopsResearch/Reports/AssessmentsPolicy/Regulatory GuidanceAwareness/AdvocacyNetworks/Mentorship/Exchange