Abstract
Organization management requires solving many problems, one of which is planning the volume of transportation of manufactured products. The purpose of the study is to improve the forecasting methodology by improving the accuracy of the forecast when planning the volume of cargo transportation, taking into account the seasonal changes in the studied transportation by road.Improving the quality of forecasting transport demand is currently possible using the advan-tages of artificial intelligence, which is developing at a rapid pace and is used in various sectors of the economy. The possibility of using artificial neural networks for planning road freight transportation is analyzed. The information base of the study was compiled, the stages of planning were described, an example of calculations of the forecasted traffic volumes was presented, forecast errors were calculated.
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