People.ai, Inc.

Nicholas Dingwall

Oleg Rogynskyy

Eric Jeske

Yurii Brunets

Yury Markovsky

Kyle Gerbe

The present disclosure relates to generating performance profiles of member nodes. A plurality of electronic activities can be accessed. A subset of electronic activities from the plurality of electronic activities can be identified. The subset of electronic activities can be parsed to identify participants of the electronic activities. A second node profile can be accessed for each participant. Participant types can be identified from each second node profiles. A distribution of the subset of electronic activities can be determined. A performance profile can be generated.

Systems and methods for updating record objects of a system of record

Systems and methods for generating performance profiles of nodes

The present disclosure relates to a method for determining node metrics based on node field-value pairs and electronic activities. The method includes identifying a first node profile. The method includes identifying a plurality of electronic activities associated with the first node profile. The method includes identifying a first group of node profiles of a first category with a predetermined event. The method includes selecting a second group of node profiles. The method includes parsing the plurality of electronic activities to identify creation timestamps and participant characteristics of the electronic activities. The method includes generating an input array based on the timestamps and the participant characteristics. The method includes generating, for each of the second group of node profiles, a respective array. The method includes determining a probability score indicating a likelihood that the node profile belongs to the first category.

Systems and methods of determining node metrics for assigning node profiles to categories based on field-value pairs and electronic activities

Systems and methods for forecasting record object completions can include accessing, for a first record object, electronic activities linked with the first record object. Each electronic activity can identify participants associated with the first record object. The first record object can include a first object field-value pair identifying a stage of a process. The method can include identifying electronic activities. The systems and methods can include determining a role of participants. The systems and methods can include determining a likelihood that the process of the first record object is completed within a predetermined time period. The systems and methods can include storing an association between the first record object and the likelihood that the process of the first record object is completed within a predetermined time period.

Systems and methods for forecasting record object completions

Methods and systems for generating performance profiles using electronic activities linked to record objects are disclosed. Exemplary implementations may: access a record objects of a system of record of a data source provider; identify, from the record objects, a subset of record objects associated with a node profile corresponding to an entity; identify, for each record object of the subset, electronic activities linked to the record object; determine, for each record object of the subset, a respective entity engagement profile for the entity based on the electronic activities linked to the record object and one or more object field-value pairs of the record object; generate a composite entity engagement profile of the entity based on each respective entity engagement profile corresponding to each record object of the subset of record objects; and store, in one or more data structures, an association between the entity and the entity performance profile.

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San Francisco, CA, United States of America

Nicholas Dingwall