Patents by Inventor Max Solomon Bennett
Max Solomon Bennett has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240127292Abstract: Provided herein are exemplary embodiments including a computer-implemented method of using artificial intelligence for automatically collecting and enriching network data for a smart campaign with autopilot features. The method includes, collecting a set of network data relevant to a smart campaign with autopilot features, applying one or more transformations to the collected set of data to create a modified set of data, generating from the modified set of data, enriched network data for a smart campaign with autopilot features, the enriched network data having content, context and event data, and using the enriched data to deploy a personalized campaign by identifying an audience, time, channel, content and goal of the communication.Type: ApplicationFiled: December 14, 2023Publication date: April 18, 2024Inventors: Bryan Estes, Amber Victoria Tunnell, Stephen Papa, Max Solomon Bennett, Jennifer Wang Hou, Francesco Fraioli, Connie Chau, Bahar Bipin Shah, Zahi Nadim Karam
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Patent number: 11847671Abstract: Methods and systems are provided for communication of one or more campaigns via personalized electronic messaging. An example method includes automatically creating an electronic communication personalized for each of a plurality of individual customers of a client. The automatically creating may include dynamic configuring the electronic communication for each individual customer into a single campaign for the client to optimize both relevancy for each of a plurality of individual customers and one or more desired business outcomes for the client. The dynamic configuring can include decision making using at least a business context. Performance goals of a business can comprise the business context. The decision-making can further use a user context and/or an external context. The electronic communication can be dynamically configured to include personalized recommendations and may further include personalized content and/or a personalized offer.Type: GrantFiled: May 12, 2020Date of Patent: December 19, 2023Assignee: Bluecore, Inc.Inventors: Bryan Estes, Amber Victoria Tunnell, Stephen Papa, Max Solomon Bennett, Jennifer Wang Hou, Francesco Fraioli, Connie Chau, Bahar Bipin Shah, Zahi Nadim Karam
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Publication number: 20220156786Abstract: Exemplary embodiments include a reinforcement learning model configured at a given point in time to receive digital data about a state of a user at the given point in time, receive digital data about an environment at the given point in time, receive digital data about a campaign at the given point in time, optimize total expected future number of positive rewards at the given point in time, and to execute an action at the given point in time. The state of the user at the given point in time may be a number of communications the user has received in a particular time period, a time since a last communication, the user's past behavior, and/or the user's engagement score from a predictive model to engage with a communication.Type: ApplicationFiled: January 28, 2022Publication date: May 19, 2022Inventors: Sophia Emma Nina Collet, Zahi Nadim Karam, Gino Knodel, Michael Brent Hurwitz, Victoria Leung, Bahar Bipin Shah, Amber Victoria Tunnell, Max Solomon Bennett, Bryan Estes, Chen Chen, Arthur Herbout
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Patent number: 11270340Abstract: Methods and corresponding systems for automatic frequency capping provide an automated decision-making process that decides dynamically how often the content of electronic communications from an entity should be sent to any specific customer or potential customer for a particular campaign. An individual customer's or potential customer's optimal electronic communication frequency is determined using machine learning and is based on behavior data.Type: GrantFiled: June 21, 2019Date of Patent: March 8, 2022Assignee: Bluecore, Inc.Inventors: Gino Knodel, Sophia Emma Nina Collet, Chen Huang, Zahi Nadim Karam, Bryan Estes, Max Solomon Bennett
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Patent number: 11238502Abstract: Methods and corresponding systems are provided for configuring communications to customers when there are multiple campaigns scheduled in a given period. An optimal number of communications are sent prioritized according to business or performance measures where send times are spaced out in a manner that strives to attain the highest value. An example method includes determining a number of electronic communications, for a plurality of campaigns to send to the particular customer during a particular time period; determining the optimal send time during the particular time period; determining for which campaigns the particular customer is eligible; for each determined optimal time: determining a strategy including selecting an electronic communication for one of the campaigns to send to the eligible particular customer so as to maximize the value over the particular time period; and causing the selected electronic communication to be sent to the particular customer at the determined optimal time.Type: GrantFiled: March 19, 2020Date of Patent: February 1, 2022Assignee: Bluecore, Inc.Inventors: Sophia Emma Nina Collet, Zahi Nadim Karam, Gino Knodel, Michael Brent Hurwitz, Victoria Leung, Bahar Bipin Shah, Amber Victoria Tunnell, Max Solomon Bennett, Bryan Estes
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Publication number: 20200387936Abstract: Methods and systems are provided for communication of one or more campaigns via personalized electronic messaging. An example method includes automatically creating an electronic communication personalized for each of a plurality of individual customers of a client. The automatically creating may include dynamic configuring the electronic communication for each individual customer into a single campaign for the client to optimize both relevancy for each of a plurality of individual customers and one or more desired business outcomes for the client. The dynamic configuring can include decision making using at least a business context. Performance goals of a business can comprise the business context. The decision-making can further use a user context and/or an external context. The electronic communication can be dynamically configured to include personalized recommendations and may further include personalized content and/or a personalized offer.Type: ApplicationFiled: May 12, 2020Publication date: December 10, 2020Inventors: Bryan Estes, Amber Victoria Tunnell, Stephen Papa, Max Solomon Bennett, Jennifer Wang Hou, Francesco Fraioli, Connie Chau, Bahar Bipin Shah, Zahi Nadim Karam
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Publication number: 20200320580Abstract: Methods and corresponding systems are provided for configuring communications to customers when there are multiple campaigns scheduled in a given period. An optimal number of communications are sent prioritized according to business or performance measures where send times are spaced out in a manner that strives to attain the highest value. An example method includes determining a number of electronic communications, for a plurality of campaigns to send to the particular customer during a particular time period; determining the optimal send time during the particular time period; determining for which campaigns the particular customer is eligible; for each determined optimal time: determining a strategy including selecting an electronic communication for one of the campaigns to send to the eligible particular customer so as to maximize the value over the particular time period; and causing the selected electronic communication to be sent to the particular customer at the determined optimal time.Type: ApplicationFiled: March 19, 2020Publication date: October 8, 2020Inventors: Sophia Emma Nina Collet, Zahi Nadim Karam, Gino Knodel, Michael Brent Hurwitz, Victoria Leung, Bahar Bipin Shah, Amber Victoria Tunnell, Max Solomon Bennett
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Publication number: 20200027124Abstract: Methods and corresponding systems for automatic frequency capping provide an automated decision-making process that decides dynamically how often the content of electronic communications from an entity should be sent to any specific customer or potential customer for a particular campaign. An individual customer's or potential customer's optimal electronic communication frequency is determined using machine learning and is based on behavior data.Type: ApplicationFiled: June 21, 2019Publication date: January 23, 2020Inventors: Gino Knodel, Sophia Emma Nina Collet, Chen Huang, Zahi Nadim Karam, Bryan Estes, Max Solomon Bennett