The focus of the paper: collection the initial data for the artificial intelligence (AI) model to implement in textile industry’s human resource management. The research methods:1) the overview of the literature (gathered from scientific literature over the world, including Estonia and Latvia), the consideration of: 2) the climate conditions in textile workplaces (based on the measurements), 3) the character of musculoskeletal disorders, 4) the opinion of workers (questionnaire for the purpose) on the working conditions and their health disorders were used. The results: the workplace health hazards as repetitive work, static posture, monotonous work cause pain and other disorders. Their strength in the head, neck etc. body regions and pain duration were found out. The model to bind the stages of diseases with the pain duration and the age of the workers, was given on the basis of interviews. Conclusions: Occupational illnesses develop by stages. At the first early stage, the rehabilitation is effective. At the next stage, treatment is possible, but it takes more time and sometimes the worker has to change the character of the work. In the third stage, the changes in health status are usually irreversible. Recommendations: From the side of working conditions air temperature, lighting means, noise and vibration have to be followed at workplaces. At the end of the paper, the recommended AI model to gain the improvement of workers’ working conditions and the decrease the number of the work-related diseases is presented. This model is possible to use for improvement of working conditions in textile industry.