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 Urban Renewal Co. Saved $1.2M and Secured a $5M Expansion Using AI Scenario Analysis
Real Estate
How Netflix Uses AI to Personalize Content Recommendations and Optimize Originals
Media & Entertainment
How Lark Uses AI to Enhance Collaboration, Productivity, and Innovation for Remote Teams
Technology & SaaS
How Eleken Redesigned Gamaya’s AI-Driven Platform to Improve Usability and Farmer Engagement
Technology & SaaS
How Vinci Construction Uses AI to Automate Document Administration and Improve Project Reporting
Construction
How Salesforce Uses Process Street to Standardize and Automate Global Client Onboarding
Technology & SaaS

🤖 Chat with AI

Type...