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The following article is devoted to using prediction analytics methods in controlling a mining and logistics complex of an open-pit mine. The pos-sibilities of using telemetric information for solving a wide variety of important technological tasks, that are then reduced to data interpretation, object identification, parameter and condition diagnostics and control of robotized interaction. Described are the possibilities of on-board monitoring systems that are currently equipped on BELAZ heavy trucks. It is shown which new tasks in predictive maintenance can be solved using machine learning. Approaches to creating a universal instrument for automatic suggestion and checking hypotheses are reviewed, using heavy truck’s tire durability prediction.