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
Prisma – 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.
WFP’s AI Strategy: A Roadmap for Responsible AI in Humanitarian Action
Global Not ApplicableThe World Food Programme’s (WFP) AI Strategy 2025-2027 sets a bold path for leveraging artificial intelligence to strengthen humanitarian response. AI is already enabling WFP to predict food shortages, accelerate emergency response, optimize supply chains, and allocate resources efficiently. The strategy – a first for a UN programme - provides a structured framework to scale these benefits further. It’s built on five key pillars: delivering impactful AI solutions, developing a robust AI infrastructure, ensuring strong governance and ethics, fostering an AI-driven culture, and forming strategic partnerships. These pillars ensure that AI is embedded responsibly across WFP’s operations, aligned with global UN AI governance principles, and designed to maximize impact while safeguarding humanitarian values. By embracing AI at scale, WFP aims to build a future where technology plays a central role in the fight against hunger.
Activity Type Policy/Regulatory GuidanceAI 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/SolutionsAI for Fair and Efficient Aid Distribution
Global Not ApplicableWinner of the 2026 Innovation Awards – Category 5: People’s Choice Award. WFP’s Enterprise Deduplication Solution tackles duplicate entries in WFP’s beneficiary databases using advanced AI matching algorithms. These errors can lead to unintended over-assistance, diverting resources from those in greater need. With an accuracy rate exceeding 99.99 percent, the system has already been piloted in three country offices, resulting in close to $400,000 in cost efficiencies. Independent assessments confirm compliance with global data privacy and security standards. Future improvements will introduce a user-friendly interface and fingerprint integration to further refining identity verification and ensuring every dollar in assistance reaches the right recipients.
Activity Type AI Tools/Solutions