17920629. Systems and Methods for Automated Intervention simplified abstract (Google LLC)
Contents
Systems and Methods for Automated Intervention
Organization Name
Inventor(s)
Neil Hoyne of Mountain View CA (US)
Systems and Methods for Automated Intervention - A simplified explanation of the abstract
This abstract first appeared for US patent application 17920629 titled 'Systems and Methods for Automated Intervention
Simplified Explanation
The patent application describes a method for analyzing interactions associated with an entity and determining whether to trigger an action based on the analysis. Here are the key points:
- Access a data structure storing information about a set of interactions associated with an entity.
- Use one or more models to calculate the contribution associated with the entity based on the information.
- Compare the information to trends of other entities sharing a similar characteristic.
- Determine whether to trigger an intervening action based on the comparison.
- If an action is triggered, perform the action.
- Recalculate the contribution associated with the entity to assess the effect of the action.
Potential applications of this technology:
- Customer relationship management: Analyzing customer interactions to determine if any intervention is needed to improve customer satisfaction or loyalty.
- Fraud detection: Identifying suspicious patterns of interactions and triggering actions to prevent fraudulent activities.
- Risk assessment: Analyzing interactions to assess the potential risks associated with an entity and taking appropriate actions to mitigate those risks.
Problems solved by this technology:
- Efficient analysis: The method allows for the automated analysis of large amounts of interaction data, enabling quick identification of trends and potential actions.
- Proactive decision-making: By comparing the entity's interactions to trends, the method helps in making proactive decisions rather than reactive ones.
- Personalized interventions: The method considers the characteristics of the entity and similar entities, allowing for tailored interventions based on individual needs.
Benefits of this technology:
- Improved efficiency: By automating the analysis process, the method saves time and resources compared to manual analysis.
- Enhanced decision-making: The method provides insights into the effects of interventions, enabling better decision-making.
- Personalized approach: By considering individual characteristics, the method allows for personalized interventions, leading to better outcomes.
Original Abstract Submitted
A method including accessing, by one or more processors, a data structure associated with an entity, the data structure storing information associated with a set of interactions, calculating, by the one or more processors using one or more models, a contribution associated with the entity based on the information, comparing, by the one or more processors using the one or more models, the information to trends associated with one or more entities sharing a characteristic with the entity, determining, by the one or more processors using the one or more models, whether to trigger an intervening action with respect to the entity based on the comparison of the information to the trends, triggering, by the one or more processors, the intervening action in response to the determination, and recalculating, by the one or more processors using the one or more models, the contribution associated with the entity to determine an effect of the intervening action.
