Externí vlivy na doručení v logistice poslední míle

This thesis analyses the impact of weather on the handover process between courier and customer in the context of last mile logistics. In the beginning of the thesis, the statistical methods used within the logistics were examined. Afterwards, a mapping of the Czech logistics market was carried out with an emphasis on last mile logistics and express delivery. The delivery data for the thesis was obtained during a corporate internship at DODO. The company DODO is also presented in the thesis. Weather data was collected using API calls. In the analytical part of the thesis, the dependency of the weather data and the data on the differences between actual and planned delivery times was analyzed. For each weather type, a coefficient was calculated to improve the original prediction. These coefficients were obtained through several statistical models, whose efficiency was compared and evaluated in order to select the model with the highest efficiency. Finally, the business implications of the improvement of the prediction model are elaborated.