Glossary
Loss Prevention
Loss prevention focuses on minimizing and reducing financial loss caused by incidents, damage, or operational disruption. It addresses both direct costs, such as repairs and claims, and indirect impacts like reputational damage and lost productivity.
What loss prevention means in practice
AI Vision contributes to loss prevention by preventing accidents, reducing downtime, and identifying unsafe practices that lead to asset damage or waste. By detecting risk early and enabling timely intervention, organizations protect physical assets, stabilize operations, and avoid cascading financial consequences.
Why loss prevention matters for enterprise teams
- Protects assets
- Reduces downtime costs
- Improves operational efficiency
- Strengthens ROI
Related glossary terms
Operational Excellence
Read moreRelated content for loss prevention
Incident prevention and risk: top industrial safety priorities
Explore in detail how computer vision mitigates for and reduces safety risks, with a focus on incident prevention from AI-powered systems.
Predictive protection: safety at work and AI Vision
How AI Vision is transforming workplace safety, moving from re-active to predictive protection - insights from our recent webinar with IOSH.
Health and Safety Toolkit
Free, practical tools to accelerate your journey to zero harm. Built by viso.ai, trusted by safety professionals in industry leading businesses.
The power of AI Vision: safety alerts for maximum impact
Understand the science and the art of calibrating safety alerts with AI Vision, delivering agile safety monitoring and maximum value.