Reduce workplace accidents with an action plan suggested by AI
In a context of a race for productivity, workplace accidents weaken businesses by disrupting services and impacting the workforce. Accidents at work are suffered and not sufficiently anticipated. In addition, standard methodologies to prevent these accidents are reaching their limits and businesses are facing a real glass ceiling.
Our use of AI in this area, in particular Machine Learning and NLP, makes it possible to deduce the most important trends and risk factors in workplace accidents from your data. More than a hundred criteria are analyzed: night work, type of workstation, experience... Companies can thus act accordingly, anticipate problems, and launch more effective action plans to target these at-risk populations.
reduction in the number of accidents at work on average
characteristics to describe each work accident
weeks of development
