Geoanalytics and Artificial Intelligence for Business Optimization

An AI-powered geo-analytics platform that helps businesses make data-driven decisions about branch placement, self-service devices, and risk assessment when opening new business locations. The system uses machine learning methods and advanced geomodels (Huff and gravity models) to predict the success of point placement, as well as to calculate the payback of self-service devices. Integration with BI and CRM for real-time data management is also implemented. - Forecast of the load on the healthcare system globally and locally. Answers questions about how many beds, personnel and medicines are needed in the region and where the disease will develop depending on the source of infection in any BRICS city: https://youtu.be/ZDZYDmWzl0k - Model for optimizing the placement of urban objects - Categories schools, kindergartens, clinics, etc.: link to YouTube - a model for rating land plots for investment in the city. And also for forecasting the cost of real estate - a model for predicting morbidity and identifying cause-and-effect relationships between the influence of environmental pollution and the incidence of cancer, etc. - model of distribution of pollution cloud from volcanoes or other objects of anthropogenic pollution - example of Kamchatka - model of distribution of different categories of business, small business in BRICS cities: https://www.youtube.com/watch?v=30G2EjkzPzc