Abstract: A method for executing an individualized offer for each member ID in a plurality of target segment are provided. The method (i) identifying a target segment for each member ID from the plurality of target segments using a machine learning and analytics model, (ii) selecting a base offer from a plurality of base offers for the target segment, (iii) generating a rule for the base offer associated with the target segment from a rules database, (iv) selecting a set of attributes for the target segment, (v) applying the set of static attributes and the set of mathematical attributes on the base offer, (vi) generating individualized segments of each member ID based on product attributes matching using the rule generated for the target segment, (vii) calculating differential offers for each member ID in the target segment based on to automatically executing the individualized offers for each member ID in target segment.

Abstract: A method of triggering an action by collectively tracking a behavior of a member across a plurality of dimensions is provided. The method includes obtaining, an action rule that specifies the action when the member performs the behavior in the plurality of dimensions, specifying a tensor counter that is a data structure to track the behavior based on the action rule, comprising a first data object storing name of behavior and a second data object comprising a plurality of keys and a plurality of values, determining the name and an updated value of the behavior, and a dimension associated with the behavior, modifying a value associated with the key to track the behavior of member in the dimension, updating the tensor counter to collectively track the behavior of member across the dimensions, and triggering the action to the member when the behavior of member matches the action rule.

Abstract: A method of triggering an action by collectively tracking a behavior of a member across a plurality of dimensions is provided. The method includes obtaining, an action rule that specifies the action when the member performs the behavior in the plurality of dimensions, specifying a tensor counter that is a data structure to track the behavior based on the action rule, comprising a first data object storing name of behavior and a second data object comprising a plurality of keys and a plurality of values, determining the name and an updated value of the behavior, and a dimension associated with the behavior, modifying a value associated with the key to track the behavior of member in the dimension, updating the tensor counter to collectively track the behavior of member across the dimensions, and triggering the action to the member when the behavior of member matches the action rule.

Abstract: An event orchestrator that enables one or more users to simply and efficiently plan, create and execute a group event through automated and intelligent group interaction where a group interaction is one or more action between two or more members of the group including making a decision, sharing information, developing a plan, sharing state information, providing assistance via reminders, coordinating logistics, confirming a task, approving an action, etc. The group orchestration engine enables one or more users to use intelligence to manage and automate communication workflow between all of the participants to ensure that each is aware of their individual responsibilities, the timing and location of the event/task, the status of each task and status of each individual (location, completion of responsibilities, timely reminders to those involved, etc.). The system provides both open and closed loop management of each task and provides for state based automated reminders to individual participants.

Abstract: An event orchestrator that enables one or more users to simply and efficiently plan, create and execute a group event through automated and intelligent group interaction where a group interaction is one or more action between two or more members of the group including making a decision, sharing information, developing a plan, sharing state information, providing assistance via reminders, coordinating logistics, confirming a task, approving an action, etc. The group orchestration engine enables one or more users to use intelligence to manage and automate communication workflow between all of the participants to ensure that each is aware of their individual responsibilities, the timing and location of the event/task, the status of each task and status of each individual (location, completion of responsibilities, timely reminders to those involved, etc.). The system provides both open and closed loop management of each task and provides for state based automated reminders to individual participants.

Abstract: A method of implementing rules on visual language using a user selectable visual programming blocks is provided. The method includes providing a visual programming window for receiving a user selection on the visual interface of the user device, wherein the user selection includes a category of visual programming blocks out of a plurality of categories and a selection of a plurality of sub-categories of the visual programming blocks from a plurality of selectable sub-categories of the visual programming blocks, parsing the user selection of (i) the category of visual programming block and (ii) the sub-category of the visual programming blocks, generating a rules program at the rules database comprising the category and the sub-categories of rules from the rules database based on the one or more domain specific language code, wherein the rules program is based on the user selected sequence arrangement of the visual programming blocks at the visual programming window.

Abstract: An event orchestrator that enables one or more users to simply and efficiently plan, create and execute a group event through automated and intelligent group interaction where a group interaction is one or more action between two or more members of the group including making a decision, sharing information, developing a plan, sharing state information, providing assistance via reminders, coordinating logistics, confirming a task, approving an action, etc. The group orchestration engine enables one or more users to use intelligence to manage and automate communication workflow between all of the participants to ensure that each is aware of their individual responsibilities, the timing and location of the event/task, the status of each task and status of each individual (location, completion of responsibilities, timely reminders to those involved, etc.). The system provides both open and closed loop management of each task and provides for state based automated reminders to individual participants.

Abstract: A method and apparatus capable of identifying a unique user across multiple devices in a computer network are provided. Device-specific and behavioral features associated with an event and a device are extracted. The device-specific features form a device signature associated the device. Hardware mobile device identifiers (IDs) are also associated with mobile application devices. Over a period of time, the behavioral features of such devices are monitored. Similarity scores between various devices are calculated based on the behavioral features and device types. The devices in the computer network are clustered and a device graph is generated representing the connections between the devices based on the similarity scores. A unique user ID associated with the multiple devices is generated from the device graph.