-20%
reduction in the number of work accidents on average
120
characteristics to describe each work accident
6
weeks of development
Context
In a context of the race for productivity, Work accidents weaken businesses by disrupting services and impacting the workforce. Work accidents are suffered and not sufficiently anticipated. Furthermore, standard methodologies for preventing these accidents are reaching their limits and companies are facing a veritable glass ceiling.
Solution
Our use of AI in this domain, notably the Machine Learning and NLP allows deduce from your data the most important trends and risk factors in workplace accidents. More than a hundred criteria are analyzed: night work, type of workstation, experience, etc. Companies can therefore act accordingly, anticipate problems, and launch more effective action plans to target these populations at risk.
Benefits
- Reduction in costs linked to workplace accidents
- Improving your productivity : fewer accidents = less downtime
- Improving your employer brand
- Improving the well-being of your employees
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