About WFP
The World Food Programme is the world's largest humanitarian organization, saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity for people recovering from conflict, disasters and the impact of climate change.Activities by WFP
AI for Real-Time Food Security Monitoring
Global Dominican RepublicAccurate, timely insights are critical for anticipating and responding to food insecurity. HungerMap LIVE is WFP’s global food security monitoring system that consolidates diverse datasets — from food security, nutrition, conflict, weather, and macroeconomic indicators — into a unified, interactive platform. By integrating real-time information and leveraging advanced data visualization, HungerMap LIVE offers continuously updated snapshots of food security conditions at global, national, and sub-national levels. This empowers faster, evidence-based decision-making, improves operational agility, and enhances early warning by identifying populations at risk before crises escalate. WFP is also expanding the predictive capabilities of HungerMap LIVE through artificial intelligence and machine learning. Predictive models forecast future food security trends based on dynamic factors such as weather anomalies, conflict data, and economic shifts, helping stakeholders to deploy resources earlier and more effectively to prevent food crises.
Activity Type AI Tools/SolutionsPrisma – AI-Enabled Supply Chain Operations Control Tower by WFP
Global AfghanistanAlgeriaBeninBurkina FasoBurundiCameroonCentral African RepublicChadColombiaCôte d’IvoireDemocratic Republic of the CongoDjiboutiEgyptEl SalvadorEthiopiaGuatemalaGuineaHaitiHondurasJordanKenyaLebanonMadagascarMalawiMaliMauritaniaMyanmarNicaraguaNigerNigeriaPakistanRwandaSenegalSierra LeoneSouth SudanSudanSyriaTanzaniaTogoTürkiyeUgandaUkraineVenezuelaYemenZimbabwe
Prisma is WFP’s global supply chain operations control tower, designed to improve planning, coordination, and decision making across humanitarian operations. It consolidates data from multiple systems into a single platform, providing descriptive, predictive, and prescriptive analytics to support upstream and downstream supply planning.
Building on this foundation, Prisma integrates embedded artificial intelligence capabilities that significantly enhance accessibility, automate analysis, and provide forward looking insights. Staff can now interact with Prisma as they would with a colleague—asking questions in natural language and receiving clear, data driven answers in seconds. Instead of relying only on technical focal points to extract data, prepare pivot tables, reconcile reports, or interpret complex dashboards, users can now access operational insights directly and much faster.
AI generated executive summaries translate complex analytics into concise insights for decision makers, while automated alerts and predictive models highlight emerging risks such as supply gaps, delayed deliveries, or stock expiries. Prisma also supports scenario planning, enabling users to explore options and understand the operational impact of different decisions in real time.
The initiative improves operational efficiency, reduces costs and losses, and strengthens cross functional coordination . It also saves significant staff time by reducing manual data extraction, reconciliation, and reporting workloads, allowing teams to focus more on judgement, coordination, and decision-making. ultimately enabling more timely and reliable assistance to vulnerable populations and ensuring that resources are used as effectively as possible.
SKAI: AI-Powered Satellite Imagery for Disaster Response
Global PakistanSyriaTürkiyeWFP, in collaboration with Google Research, has developed SKAI, an AI-powered satellite imagery analysis tool that significantly accelerates disaster damage assessments. Using advanced machine learning, SKAI automates the identification of damaged buildings and infrastructure, providing critical insights in under 48 hours, 13 times faster and 77 percent cheaper than manual methods. In crises such as the Türkiye-Syria earthquakes and Pakistan floods, SKAI supported rapid assessments, enabling faster, more efficient humanitarian responses. By reducing reliance on manual analysis, the tool ensures that WFP and its partners can quickly determine the extent of damage, prioritize assistance, and allocate resources effectively.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsUN AI Smart Mobility
Global Not ApplicableWinner of 2026 WFP Innovation Awards – Category 4: Operational Excellence & Enabling Services, UN AI Smart Mobility is the first UN-wide AI initiative, powered by WFP. Through AI generated country specific briefings WFP is transforming Mobility operational efficiency across the globe. UN AI Smart Mobility engine analyses millions of data, generating automatic recommendations on Mobility performances to Move from Insights to Impact instantly and unlock additional savings, cost recovery and efficiency gains. Successfully used in all WFP country offices, and already adopted by UNICEF and UNOPS, the solution will scale to 23 UN entities, aiming at generating more than $15M in savings yearly.
Activity Type AI Tools/Solutions