Abstract: The present disclosure describes systems and methods for generating a set of connection data indicating the connections between entities received by a profile management system. Connections may be automatically generated to indicate duplicate, referral, or company connections between one or more entities. Furthermore, the connection data may be used to predict the likelihood of particular outcomes in response to contacting an entity associate with a particular profile, distribution of profiles to appropriate entities, and prioritization of profiles for an entity.

Abstract: Automatic determination of caller identification information and encoding of such information in outgoing data requests, such a API calls to a call management component, are disclosed herein. The caller identification information may be determined by analyzing information associated with a call target to determine if the target has a custom outbound telephone number assigned, was contacted through a specific campaign, has local geographic data, is being called from a specific entity, or is being made from a call originator with a specific outbound number set. The system may execute machine learning on previous calling data in order to update caller identification selection models used for other outgoing calls.

Abstract: Automatic determination of caller identification information and encoding of such information in outgoing data requests, such a API calls to a call management component, are disclosed herein. The caller identification information may be determined by analyzing information associated with a call target to determine if the target has a custom outbound telephone number assigned, was contacted through a specific campaign, has local geographic data, is being called from a specific entity, or is being made from a call originator with a specific outbound number set. The system may execute machine learning on previous calling data in order to update caller identification selection models used for other outgoing calls.

Abstract: A system for scoring and distributing sales leads. A scoring model may score sales leads based on attributes of the leads and the likelihood of the lead resulting in a desired outcome. The scoring model may be updated based on new information about the outcome of sales leads, or in response to a determination that the scoring model is not providing adequate accuracy. A distribution module may distribute sales leads to sales entities. The entities may be assigned to tiers which determine the manner in which leads are distributed. The assignment of entities to tiers may be updated based on changes in the attributes of the sales entities.

Abstract: A system for scoring and distributing sales leads. A scoring model may score sales leads based on attributes of the leads and the likelihood of the lead resulting in a desired outcome. The scoring model may be updated based on new information about the outcome of sales leads, or in response to a determination that the scoring model is not providing adequate accuracy. A distribution module may distribute sales leads to sales entities. The entities may be assigned to tiers which determine the manner in which leads are distributed. The assignment of entities to tiers may be updated based on changes in the attributes of the sales entities.