Building a neural network model prediction solvency counterparties

At the present stage, many commercial organizations and enterprises get a lot of prob-lems on the outstanding amounts of receivables of its customers and counterparties. To avoid further compounding the debt current clients need to properly assess their ability to pay, until the appearance of the client's needs in the services organization or products sold by it. Thus, the task of producing a comprehensive analysis of the client's solvency on the basis of available data on the client organization. The project proposes the creation of software solutions, based on neural network technologies implemented in an annex to the standard configuration 1C: Enterprise.