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 WilmerHale Uses Casetext CARA AI to Reduce Legal Brief Preparation Time and Improve Accuracy
Legal
How Eventico Technologies Revolutionized Large-Scale Event Management with AI-Powered Platform
Hospitality & Tourism
How Aeon Hire Uses AI Sourcing and Predictive Analytics to Save Time and Improve Hiring Quality
Recruitment
How Guru’s AI Knowledge Base Enhances Enterprise Search, Content Recommendations, and Automated Maintenance
Technology & SaaS
How Lindy.ai Automates Customer Feedback Analysis to Improve CX Across Multiple Industries
Technology & SaaS
How China State Construction Reduced Rework by 18% Using AI-Powered Cameras and IoT Sensors
Construction

🤖 Chat with AI

Type...