Abstract: A method for improving an action implementation process is provided. The method includes detecting a cancelation or a rescheduling for an originally planned activity of a user to be performed during a first time period. An alternative activity for replacement of the originally planned activity is determined. It is determined that a second time period necessary for performing the alternative activity exceeds the first time period and in response, an executable action is generated. The executable action is configured to be combined with the alternative activity such that the alternative activity may be accommodated. Machine learning software code is executed top determine if the user would be likely to accept the alternative activity if the additional executable action exceeds a specified threshold. In response, the executable action is automatically executed in real time thereby enabling the alternative activity.

Abstract: A method and system for improving an action implementation process is provided. The method includes detecting a cancelation or a rescheduling for an originally planned activity of a user to be performed during a first time period. An alternative activity for replacement of the originally planned activity is determined. It is determined that a second time period necessary for performing the alternative activity exceeds the first time period and in response, an executable action is generated. The executable action is configured to be combined with the alternative activity such that the alternative activity may be accommodated. Machine learning software code is executed top determine if the user would be likely to accept the alternative activity if the additional executable action exceeds a specified threshold. In response, the executable action is automatically executed in real time thereby enabling the alternative activity.

Abstract: In an approach to creating an electronic calendar entry, one or more computer processors receive a selection of a location in a map application from a first device associated with a first user. In response to receiving a selection of a location in a map application from the first device associated with the first user, the one or more computer processors create a first calendar entry in the electronic calendar application associated with the first user. The one or more computer processors input information corresponding to the selected location in the first calendar entry. The one or more computer processors store the first calendar entry.

Abstract: A method for improving an action implementation process is provided. The method includes detecting a cancelation or a rescheduling for an originally planned activity of a user to be performed during a first time period. An alternative activity for replacement of the originally planned activity is determined. It is determined that a second time period necessary for performing the alternative activity exceeds the first time period and in response, an executable action is generated. The executable action is configured to be combined with the alternative activity such that the alternative activity may be accommodated. Machine learning software code is executed top determine if the user would be likely to accept the alternative activity if the additional executable action exceeds a specified threshold. In response, the executable action is automatically executed in real time thereby enabling the alternative activity.

Abstract: In an approach to creating an electronic calendar entry, one or more computer processors receive a selection of a location in a map application from a first device associated with a first user. In response to receiving a selection of a location in a map application from the first device associated with the first user, the one or more computer processors create a first calendar entry in the electronic calendar application associated with the first user. The one or more computer processors input information corresponding to the selected location in the first calendar entry. The one or more computer processors store the first calendar entry.

Abstract: A plurality of recipes containing a plurality of produce items can be assigned a preparation day. The plurality of produce items comprised in the plurality of recipes are partitioned into an interactive grocery list. Each item of the plurality of produce items comprised in the interactive grocery list is assigned a calculated reference identifier. Calculated reference identifiers are transferred to a user device and recommend the highest probability of produce ripeness with consideration to the assigned preparation day.

Abstract: A method and system for improving an action implementation process is provided. The method includes detecting a cancelation or a rescheduling for an originally planned activity of a user to be performed during a first time period. An alternative activity for replacement of the originally planned activity is determined. It is determined that a second time period necessary for performing the alternative activity exceeds the first time period and in response, an executable action is generated. The executable action is configured to be combined with the alternative activity such that the alternative activity may be accommodated. Machine learning software code is executed top determine if the user would be likely to accept the alternative activity if the additional executable action exceeds a specified threshold. In response, the executable action is automatically executed in real time thereby enabling the alternative activity.