{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9853931","patent":{"patent_number":"US-9853931","title":"Predictive forwarding of notification data","assignee":null,"inventors":[],"filing_date":"2016-06-15T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","G06F","H04L","H04L","H04L","H04L","H04W","H04W"],"num_claims":20,"abstract":"A computing system is described that receives notification data associated with a user, and responsive to determining that the user is interacting with a first computing device at a first particular time, outputs, for transmission to the first computing device, the notification data. The computing system determines that the user is interacting with a second computing device at a second particular time, and responsive to determining, based on the second particular time being less than a threshold amount of time after the first particular time, that the user did not view the notification data at the first computing device, outputs, for transmission to the second computing device, the notification data."},"analysis":{"summary":"The Predictive Forwarding of Notification Data patent details a computing system designed to intelligently manage and route notifications to users based on their device usage patterns. The core innovation lies in its ability to predict which device a user is most likely to interact with at a given time and deliver notifications accordingly. This solves the pervasive problem of notification overload, where users are bombarded with redundant alerts across multiple devices, leading to distraction and missed information. The technology works by monitoring user interactions with various devices, building a profile of typical usage patterns. When a notification is received, the system uses this profile to predict the most appropriate device for delivery. If the user doesn't interact with the notification on the initially selected device within a specified time, the system automatically forwards the notification to another device. This ensures timely delivery regardless of the device in use. The business value lies in enhanced user experience, increased productivity, and reduced distraction. Applications span mobile devices, wearables, and enterprise software. The market opportunity is substantial, as intelligent notification management becomes increasingly crucial in our multi-device world. By prioritizing relevance and timeliness, this patent offers a valuable solution for both individual users and organizations seeking to optimize communication and productivity.","layman_explanation":"The Predictive Forwarding of Notification Data patent addresses a common problem we all face: notification overload. In today's world, we're constantly bombarded with notifications from our smartphones, tablets, laptops, and smartwatches. It's easy to miss important information or become distracted by the constant stream of alerts. This patent offers a solution by intelligently routing notifications to the device you're most likely to be using at any given time. \n\n**What Problem Does This Solve?**\nImagine you're working on your laptop when a notification pops up on your phone. You have to switch your attention to your phone, check the notification, and then switch back to your laptop. This constant switching can be disruptive and decrease your productivity. Existing solutions, like muting notifications or turning off devices, are not ideal because they can cause you to miss important information. This technology aims to solve this problem by ensuring that you only receive notifications on the device you're actively using.\n\n**How Does It Work?**\nThink of it like a smart mailman who knows where you are and what you're doing. Instead of delivering mail to every address, the mailman only delivers it to the address where you're currently located. This patent works in a similar way. It uses sensors and software to track your device usage patterns. It learns when you're most likely to use your phone, tablet, or laptop. When a notification arrives, the system predicts which device you're most likely to see it on and sends it to that device. If you don't interact with the notification on that device within a certain timeframe, the system will automatically forward it to another device. This ensures that you always receive important information, no matter which device you're using.\n\n**Why Does This Matter?**\nThis technology has the potential to significantly improve our daily lives. By reducing notification overload, it can help us focus on what's important and increase our productivity. It can also improve our overall user experience by making notifications more relevant and less intrusive. The market impact could be huge, with applications ranging from mobile devices and wearables to enterprise software and smart home devices. This technology offers a competitive advantage by providing a more user-friendly and efficient way to manage notifications.\n\n**What's Next?**\nFuture applications of this technology could include personalized notification settings, context-aware notifications, and integration with other smart devices. The market adoption timeline will depend on the willingness of device manufacturers and software developers to integrate this technology into their products. The investment implications are significant, as this technology has the potential to generate substantial revenue through licensing agreements and subscription services.","technical_analysis":"The Predictive Forwarding of Notification Data patent describes a system that leverages user behavior analysis and machine learning to intelligently route notifications across multiple devices. The technical architecture consists of several key components: a notification receiver, a user behavior analyzer, a predictive model, a device selector, and a notification forwarder. The notification receiver captures incoming notification data associated with a user. The user behavior analyzer monitors user interactions with various computing devices, collecting data such as the time of day, location, application usage, and user activity. This data is then fed into the predictive model, which uses machine learning algorithms to build a personalized profile for each user. The predictive model learns to associate specific user behaviors with particular devices, allowing it to predict which device the user is most likely to be actively using at any given time. The device selector uses the output of the predictive model to determine the optimal device for notification delivery. If the user doesn't interact with the notification on the initially selected device within a certain timeframe, the notification forwarder automatically forwards the notification to another device. The implementation of this system requires careful consideration of several technical challenges. Data privacy and security are paramount, as the system collects sensitive information about user behavior. The machine learning algorithms must be robust and accurate, capable of adapting to changes in user behavior over time. The system must also be scalable and efficient, capable of handling a large volume of notifications across a diverse range of devices. Integration with existing notification systems and operating systems is another important consideration. Performance characteristics such as latency and throughput must be optimized to ensure a seamless user experience. Code-level implications include the need for efficient data structures and algorithms for user behavior analysis and predictive modeling. The system also needs to be designed with extensibility in mind, allowing for the addition of new devices and notification types in the future.","business_analysis":"The Predictive Forwarding of Notification Data patent addresses a significant pain point in today's multi-device world: notification overload. The market opportunity for this technology is substantial, as the number of connected devices continues to grow and users struggle to manage notifications across multiple platforms. The competitive advantage of this invention lies in its intelligent routing capabilities, which prioritize relevance and timeliness. Existing notification systems often lack the sophistication to adapt to user behavior, resulting in a barrage of irrelevant alerts. This technology offers a more user-centric approach, delivering notifications to the device where they are most likely to be seen and acted upon. The revenue potential for this technology is significant. It could be licensed to mobile device manufacturers, operating system vendors, and application developers. It could also be integrated into enterprise software platforms to improve employee productivity and communication. Business models could include subscription fees, licensing agreements, and revenue sharing arrangements. Strategic positioning would involve targeting companies that are focused on improving user experience and productivity. ROI projections are highly dependent on market adoption and licensing terms, but the potential for significant returns is clear. By reducing notification overload and improving user engagement, this technology can create significant value for both businesses and consumers. The key to success will be effective marketing and distribution, as well as ongoing innovation to stay ahead of the competition.","faqs":null,"topics":["predictive notification forwarding","intelligent notification routing","cross-device notifications","notification management","patent","predictive","forwarding","notification"],"tech_cluster":null},"seo":{"title":"Predictive Notification Forwarding - Patent US-9853931","description":"Discover how Predictive Forwarding of Notification Data intelligently routes notifications to the right device. Full patent analysis, claims, and technical details.","keywords":["predictive notification forwarding","intelligent notification routing","cross-device notifications","notification management","patent","patent US-9853931"]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9853931","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9853931","citation_suggestion":"Patentable. \"Predictive forwarding of notification data\" (US-9853931). https://patentable.app/patents/US-9853931","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9853931","json":"https://patentable.app/api/llm-context/US-9853931","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T18:48:00.905Z"}