Distribution chains can change their parameters. There are changes in the final quantity and the final destinations too. This paper deals with searching of local maxima. There is analysis of the quantity of goods delivered to customers in time and space. We have simulated distribution of selected goods in the segment of specific pharmacies. We have recorded information about capacity of the deliveries according to the time and customers. It was evaluated distribution of the amount of delivered goods. There are using the precedent matrix to found places with larger supplies than the immediate surroundings. We have monitored the changes of maxima and their distribution of in space and time. There were also analyzed dependencies in this distribution of maxima. We have used the method of precedents matrices and we compared the results with the simulation based on the Simul8 program. Results can be used for the allocation of vehicles on the basis of knowledge of the behavior of the distribution. The benefit is that the simulation is performed on a specific real business process.