Generating process flow models using unstructure conversation bots
AssigneeInternational Business Machines Corporation
InventorsRoy Abitbol, Eliezer Wasserkrug, Harold Jeffrey Ship, Jonathan Bnayahu
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Abstract
In an example computer-implemented method, unstructured interactions between an unstructured conversation bot and a plurality of users are logged. A process flow model is generated based on the logged unstructured interactions. Instructions based on the process flow model are presented to a user in real time via the conversation bot.
Claims20
A system, comprising a processor to:
- log unstructured interactions between an unstructured conversation bot on a mobile device and a plurality of users to generate logged events comprising a performance of each process item along with a timestamp of each process item and physical location data of the mobile device associated with each process item;
- learn, via a machine learning model that receives the logged events as input attributes, a recommended order for a process, wherein the recommended order comprises a set of selected attributes and an order of execution for the set of selected attributes;
- generate a process flow model for the process based on the machine learning model;
- and
- present, via the conversation bot, instructions to a user in real time based on the process flow model.
A computer-implemented method, comprising:
- logging, via a processor, unstructured interactions between an unstructured conversation bot on a mobile device and a plurality of users to generate logged events comprising a performance of each process item along with a timestamp of each process item and physical location data of the mobile device associated with each process item;
- learning, via a machine learning model that receives the logged events as input attributes, a recommended order for a process, wherein the recommended order comprises a set of selected attributes and an order of execution for the set of selected attributes;
- generating, via the processor, a process flow model for the process based on the machine learning model;
- and
- presenting, via the conversation bot, instructions to a user in real time based on the process flow model.
A computer program product for generating process flow models, the computer program product comprising a computer-readable storage medium having program code embodied therewith, wherein the computer-readable storage medium is not a transitory signal per se, the program code executable by a processor to cause the processor to:
- log unstructured interactions between an unstructured conversation bot on a mobile device and a plurality of users to generate logged events comprising a performance of each process item along with a timestamp of each process item and physical location data of the mobile device associated with each process item;
- learn, via a machine learning model that receives the logged events as input attributes, a recommended order for a process, wherein the recommended order comprises a set of selected attributes and an order of execution for the set of selected attributes;
- generate a process flow model for the process based on the machine learning model;
- and
- present, via the conversation bot, instructions to a user in real time based on the process flow model.
Dependencies are inferred from the claim text.