Methods and systems for offerring service times based on system consideration

A system, comprising:

• a memory;
• and
• at least one processor configurable to:
• process a request of a user to book a first appointment for a first service at a first location, the request being received via a network from a first computing device;
• ascertain a time period within which the first appointment is expected to be completed;
• determine availability of the user for one or more time slots including a first time slot within the time period;
• retrieve historical data indicating a historical demand for a plurality of types of on-site services requested by a plurality of users;
• train a first machine learning model having a plurality of parameters using the historical data, a first parameter corresponding to a geographic region and a second parameter corresponding to a type of service;
• predict a demand for at least a first type of service in a first region during a first period of time by applying the first machine learning model, the first region including the first location or being in proximity to the first location, the first time slot being within the first period of time or in proximity to the first period of time;
• select the first time slot from the one or more time slots based, at least in part, on a result of predicting the demand for the first type of service in the first region during the first period of time, wherein selecting the first time slot includes generating a first booking response using a second machine learning model;
• verify the first booking response using a second booking response generated using a third machine learning model;
• update the second machine learning model using the second booking response according to a result of verifying the first booking response;
• provide to the first computing device, information identifying the first time slot;
• process an indication of a selection of the first time slot, the indication being received from the first computing device;
• and
• responsive to processing the indication of the selection of the first time slot, scheduling a task for the first service to be performed by the field professional at the first location during the first time slot.

A non-transitory computer-readable storage medium having computer program instructions stored therein, the computer program instructions configured such that, when executed by at least one processor, the computer program instructions cause:

• processing a request of a user to book a first appointment for a first service at a first location, the request being received via a network from a first computing device;
• ascertaining a time period within which the first appointment is expected to be completed;
• determining, by one or more servers, availability of the user for one or more time slots including a first time slot within the time period;
• retrieving, from a database, historical data indicating a historical demand for a plurality of types of on-site services requested by a plurality of users;
• training a first machine learning model having a plurality of parameters using the historical data, a first parameter corresponding to a geographic region and a second parameter corresponding to a type of service;
• predicting a demand for at least a first type of service in a first region during a first period of time by applying the first machine learning model, the first region including the first location or being in proximity to the first location, the first time slot being within the first period of time or in proximity to the first period of time;
• selecting the first time slot from the one or more time slots based, at least in part, on a result of predicting the demand for the first type of service in the first region during the first period of time, wherein selecting the first time slot includes generating a first booking response using a second machine learning model;
• verifying the first booking response using a second booking response generated using a third machine learning model;
• updating the second machine learning model using the second booking response according to a result of verifying the first booking response;
• providing, to the first computing device, information identifying the first time slot;
• processing an indication of a selection of the first time slot, the indication being received from the first computing device;
• and
• responsive to processing the indication of the selection of the first time slot, scheduling, by the one or more servers, a task for the first service to be performed by the field professional at the first location during the first time slot.