How World Wildlife Fund Uses AI to Track Endangered Species and Combat Poaching

By: GoBeyond Team
July 27, 2025
3 min read
WWF AI wildlife tracking dashboard

Quick Overview

WWF applies AI-driven computer vision and predictive analytics to analyze GPS and satellite data, tracking endangered species and identifying poaching hotspots for targeted intervention.

World Wildlife Fund (WWF)
World Wildlife Fund (WWF)
Company Size
~6,000 employees
Revenue Range
$400M+ annual revenue
Primary Challenge
Protecting endangered species through data-driven conservation
Key Metrics

- More effective resource deployment
- Improved protection of endangered species

The Problem

Traditional monitoring was limited in scale and timeliness

The Solution

Integrated AI to process satellite and GPS data for real-time wildlife tracking and poaching detection

Results

- Enhanced conservation efforts
- Reduced poaching incidents
- Improved species survival rates

Details

Industry
Nonprofit & NGO
Departments
Operations & Workflow Automation
Data & Analytics
Use Cases
Workflow Automation
Predictive Modeling
Tags
Computer Vision
Predictive Modeling
Enhanced Decision-Making
Real-Time Processing
AI Tools Used
No items found.
Sources
https://aiearn.io/case-study-ai-in-nonprofit-organizations/

More Case Studies

See All
How Unilever Uses AI-Powered Video Interview Platform to Streamline Recruitment and Increase Diversity
Manufacturing
How Hyperspace’s AI Learning Platform Transforms Enterprise Training with Adaptive Assessments and AI Avatars
Technology & SaaS
How Wrike Achieved 496% Pipeline Growth and 15× ROI with Drift’s AI Chatbot
Technology & SaaS
How Holcim EMEA Digital Center Used GitHub Copilot to Accelerate Large-Scale Salesforce Code Refactoring and Improve Performance
Technology & SaaS
How Brainly Leveraged Google Cloud Vision AI to Boost Student Engagement and Accessibility Globally
Education & EdTech
How Nordic Insurance Company Partnered with EY to Automate Claims Management Using AI
Finance & Banking

🤖 Chat with AI

Type...