Systems and methods for proposal generation in a task determination system

A computer-implemented method, comprising:

• receiving a completed task template associated with a task performable on behalf of a member, wherein the completed task template is received through a member interface, and wherein the completed task template includes a set of task parameters;
• generating a task-specific interface corresponding to the task, wherein the task-specific interface includes the set of task parameters;
• updating a representative interface to present the set of task parameters and a set of user interface elements, wherein the set of user interface elements includes a template recommendation button for identifying a proposal template for the task;
• detecting representative interaction with the template recommendation button through the representative interface;
• processing the set of task parameters through a trained template selection machine learning algorithm to identify the proposal template for the task, wherein the trained template selection machine learning algorithm is trained using a dataset of sample task specifications and sample interactions with different proposals and corresponding tasks;
• updating the representative interface to present the proposal template, wherein the proposal template includes a set of proposal options and a set of data fields associated with the task and the set of proposal options;
• receiving a completed proposal template, wherein the completed proposal template is received through the representative interface, and wherein the completed proposal template includes a set of proposal recommendations selected through interaction with a subset of the set of data fields corresponding to one or more proposal options selected from the set of proposal options;
• generating a proposal for the task, wherein the proposal includes the one or more proposal options and the set of proposal recommendations;
• updating the task-specific interface to present the proposal;
• and
• updating the trained template selection machine learning algorithm based on the completed proposal template and member interactions with the proposal through the task-specific interface.

A system, comprising:

• one or more processors;
• and
• memory storing thereon instructions that, as a result of being executed by the one or more processors, cause the system to:
• receive a completed task template associated with a task performable on behalf of a member, wherein the completed task template is received through a member interface, and wherein the completed task template includes a set of task parameters;
• generate a task-specific interface corresponding to the task, wherein the task-specific interface includes the set of task parameters;
• update a representative interface to present the set of task parameters and a set of user interface elements, wherein the set of user interface elements includes a template recommendation button for identifying a proposal template for the task;
• detect representative interaction with the template recommendation button through the representative interface;
• process the set of task parameters through a trained template selection machine learning algorithm to identify the proposal template for the task, wherein the trained template selection machine learning algorithm is trained using a dataset of sample task specifications and sample interactions with different proposals and corresponding tasks;
• update the representative interface to present the proposal template, wherein the proposal template includes a set of proposal options and a set of data fields associated with the task and the set of proposal options;
• receive a completed proposal template, wherein the completed proposal template is received through the representative interface, and wherein the completed proposal template includes a set of proposal recommendations selected through interaction with a a subset of the set of data fields corresponding to one or more proposal options selected from the set of proposal options;
• generate a proposal for the task, wherein the proposal includes the one or more proposal options and the set of proposal recommendations;
• update the task-specific interface to present the proposal;
• and
• update the trained template selection machine learning algorithm based on the completed proposal template and member interactions with the proposal through the task-specific interface.

A non-transitory computer-readable storage medium storing thereon executable instructions that, as a result of being executed by one or more processors of a computer system, cause the computer system to:

• receive a completed task template associated with a task performable on behalf of a member, wherein the completed task template is received through a member interface, and wherein the completed task template includes a set of task parameters;
• generate a task-specific interface corresponding to the task, wherein the task-specific interface includes the set of task parameters;
• update a representative interface to present the set of task parameters and a set of user interface elements, wherein the set of user interface elements includes a template recommendation button for identifying a proposal template for the task;
• detect representative interaction with the template recommendation button through the representative interface;
• process the set of task parameters through a trained template selection machine learning algorithm to identify the proposal template for the task, wherein the trained template selection machine learning algorithm is trained using a dataset of sample task specifications and sample interactions with different proposals and corresponding tasks;
• update the representative interface to present the proposal template, wherein the proposal template includes a set of proposal options and a set of data fields associated with the task and the set of proposal options;
• receive a completed proposal template, wherein the completed proposal template is received through the representative interface, and wherein the completed proposal template includes a set of proposal recommendations selected through interaction with a subset of the set of data fields corresponding to one or more proposal options selected from the set of proposal options;
• generate a proposal for the task, wherein the proposal includes the one or more proposal options and the set of proposal recommendations;
• update the task-specific interface to present the proposal;
• and
• update the trained template selection machine learning algorithm based on the completed proposal template and member interactions with the proposal through the task-specific interface.