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 Statworx Deploys AI Models to Optimize Upsell and Cross-Sell Campaigns for Clients
Professional Services & Consulting
How Forbes Uses Quill AI to Generate SEO-Optimized Business and Finance Articles at Scale
Media & Entertainment
How Harbinger Group Developed AI-Powered Onboarding and Learning for a Multinational Investment Bank
Finance & Banking
How DBS Bank Leverages AI and Cloud to Enhance Credit Risk Management, Customer Engagement, and Operational Efficiency
Finance & Banking
How Botkeeper Uses AI to Automate Bookkeeping and Empower Accounting Firms to Scale
Technology & SaaS
How Alibaba Increased Sales and Streamlined Content Creation with AIRec and NLP
Retail & E-commerce

🤖 Chat with AI

Type...