Service management

A computer system comprising:

• a processor and a memory configured to provide computer program instructions to the processor to execute the function of components of a service analyzing system including:
• a sensor data receiving component for receiving sensor load data over time from a table in a food establishment;
• a waiting time analyzing component for analyzing the sensor load data during a waiting time between a time of one or more customers arriving at the table and a time of consumables being served to the table to learn background noise data of the one or more customers;
• a dining time analyzing component for analyzing the sensor load data during a dining time after the time of consumables being served to the table including an event detecting component for detecting one or more events that require a service action and a background component for analyzing the sensor load data during the dining time by removing the learnt background noise data to distinguish sensor load data changes relating to consumption of the consumables on the table, wherein analyzing the sensor load data during the waiting time includes using the sensor load data as a training set for a machine learning algorithm to identify background noise data for one or more customers;
• a dining time analyzing component for:
• learning background noise data by distributing the one or more customers over time in a K-means clustering algorithm,
• identifying respective zones of influence on the customer table to each of the one or more customers,
• removing anomalous behavior that affects a predicted time in which consumables served to the table reaches completion based on its' potential influence on at least a respective zone of the identified zones associated with a respective customer, and
• an output component for generating a visual interface display that is shown prior to a predicted time in which consumables served to the table reaches completion.

A computer program product, the computer program product comprising:

• a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:
• improve point of sale devices based, at least in in part, on predicted loads of a customer table, wherein improving point of sale devices comprising program instructions executable by a processor to cause the processor to:
• receive sensor load data over time from the table in a food establishment;
• analyze the sensor load data during a waiting time between a time of one or more customers arriving at the table and a time of consumables being served to the table to learn background noise data of the one or more customers, wherein the program instructions to analyze the sensor load data during the waiting time includes using the sensor load data as a training set for a machine learning algorithm to identify background noise data for one or more customers;
• learning background noise data by distributing the one or more customers over time in a K-means clustering algorithm;
• identifying respective zones of influence on the customer table to each of the one or more customers;
• removing anomalous behavior that affects a predicted time in which consumables served to the table reaches completion based on its' potential influence on at least a respective zone of the identified zones associated with a respective customer;
• and
• generating a visual interface display that is shown prior to a predicted time in which consumables served to the table reaches completion.