Machine-learning driven communications using application programming interfaces

A computer program product for automatically generating application programming interface (API) requests via a platform, the computer program product comprising a non-transitory computer readable medium having computer program instructions stored therein, the computer program instructions when executed by a processor, cause the processor to:

• provide a first data set associated with a member as input to one or more first machine learning models, wherein (a) the member is an insured member of first insurer, (b) the one or more first machine learning models are configured to generate a first predicted score indicating the likelihood of the member having additional insurance with an additional insurer, (b) the first predicted score is generated based at least in part on the first data set, and (c) the platform is configured to execute one or more first machine learning models and one or more second machine learning models;
• determine that the first predicted score satisfies a configurable threshold, wherein satisfying the configurable threshold indicates that it is likely that the member has additional insurance with the additional insurer;
• responsive to determining that the first predicted score satisfies the configurable threshold, provide a second data set associated with the member as input to one or more second machine learning models, wherein (a) the one or more second machine learning models are configured to generate a second predicted score corresponding to a predicted entity as the additional insurer providing the additional insurance, and (b) the second score corresponding the predicted entity is generated based at least in part on the second data set;
• identify an additional insurer profile data object for the predicted entity, wherein the additional insurer profile data object is associated with an API-based request template for electronically communicating with the predicted entity through one or more APIs;
• and
• initiate the generation of an API-based request based at least in part on the API-based request template.

A platform for automatically generating application programming interface (API) requests, comprising a non-transitory computer readable storage medium and one or more processors, the computing system configured to:

• provide a first data set associated with a member as input to one or more first machine learning models, wherein (a) the member is an insured member of first insurer, (b) the one or more first machine learning models are configured to generate a first predicted score indicating the likelihood of the member having additional insurance with an additional insurer, (b) the first predicted score is generated based at least in part on the first data set, and (c) the platform is configured to execute one or more first machine learning models and one or more second machine learning models;
• determine that the first predicted score satisfies a configurable threshold, wherein satisfying the configurable threshold indicates that it is likely that the member has additional insurance with the additional insurer;
• responsive to determining that the first predicted score satisfies the configurable threshold, provide a second data set associated with the member as input to one or more second machine learning models, wherein (a) the one or more second machine learning models are configured to generate a second predicted score corresponding to a predicted entity as the additional insurer providing the additional insurance, and (b) the second score corresponding the predicted entity is generated based at least in part on the second data set;
• identify an additional insurer profile data object for the predicted entity, wherein the additional insurer profile data object is associated with an API-based request template for electronically communicating with the predicted entity through one or more APIs;
• and
• initiate the generation of an API-based request based at least in part on the API-based request template.