A method for predicting and/or averting a future disruption in a picking system, comprising the steps: a) determining, with a unit load measurement means of the picking system, unit load properties (a) of a unit load to be transported with a conveying system of the picking system, b) issuing, with an output unit of the picking system, a probability of the occurrence of a disruption based on the determined unit load properties (a) and/or initiating, with a control of the picking system, a measure which reduces the probability of the occurrence of this disruption if the occurrence of a disruption is probable, based on the determined unit load properties (a), c) storing the determined unit load properties (a) in a data store assigned to the unit load, d) transporting the unit load with the conveying system of the picking system, e) monitoring the transport of this unit load by means of a monitoring and classification unit of the picking system and classifying the transport as disrupted if a disruption is detected by means of the monitoring and classification unit during the transport of this unit load, or classifying the transport as disruption-free by means of the monitoring and classification unit if no disruption is detected by means of the monitoring and classification unit during the transport of this unit load within a specifiable observation period, f) feeding the stored unit load properties (a) and the transport classification (c) of the transport of the unit load determined in step e) into a learning algorithm, and g) repeating steps a) to f) for a plurality of unit loads and computing, with the help of the learning algorithm, a probability of the occurrence of a disruption during the transport of the various unit loads for which steps a) to f) are run through, depending on their unit load properties (a). a) determining, with a unit load measurement means of the picking system, unit load properties (a) of a unit load to be transported with a conveying system of the picking system, b) issuing, with an output unit of the picking system, a probability of the occurrence of a disruption based on the determined unit load properties (a) and/or initiating, with a control of the picking system, a measure which reduces the probability of the occurrence of this disruption if the occurrence of a disruption is probable, based on the determined unit load properties (a), c) storing the determined unit load properties (a) in a data store assigned to the unit load, d) transporting the unit load with the conveying system of the picking system, e) monitoring the transport of this unit load by means of a monitoring and classification unit of the picking system and classifying the transport as disrupted if a disruption is detected by means of the monitoring and classification unit during the transport of this unit load, or classifying the transport as disruption-free by means of the monitoring and classification unit if no disruption is detected by means of the monitoring and classification unit during the transport of this unit load within a specifiable observation period, f) feeding the stored unit load properties (a) and the transport classification (c) of the transport of the unit load determined in step e) into a learning algorithm, and g) repeating steps a) to f) for a plurality of unit loads and computing, with the help of the learning algorithm, a probability of the occurrence of a disruption during the transport of the various unit loads for which steps a) to f) are run through, depending on their unit load properties (a).