Twilio inc. (20240137409). ROUTING PROVIDER QUEUES simplified abstract
Contents
- 1 ROUTING PROVIDER QUEUES
ROUTING PROVIDER QUEUES
Organization Name
Inventor(s)
Peter Michael Janovsky of Pleasanton CA (US)
Andrei Osochenko of Tallinn (EE)
ROUTING PROVIDER QUEUES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240137409 titled 'ROUTING PROVIDER QUEUES
Simplified Explanation
The abstract of the patent application describes a method for routing provider queues based on feedback data, conversion rates, congestion levels, and performance levels of each routing provider.
- The method involves receiving feedback data associated with routing providers, determining conversion rates and congestion levels for each provider, and calculating performance levels based on these metrics.
- By analyzing feedback data and message queue activity, the method optimizes the routing of messages to ensure successful delivery while managing congestion levels.
- This technology aims to improve the efficiency and effectiveness of message routing systems by dynamically adjusting provider queues based on real-time performance metrics.
Potential Applications
This technology could be applied in various industries where message routing and delivery are critical, such as telecommunications, email services, and customer support systems.
Problems Solved
This technology addresses the challenges of optimizing message routing systems to ensure timely and successful delivery while managing congestion and performance issues.
Benefits
The benefits of this technology include improved message delivery rates, reduced congestion in provider queues, and enhanced overall performance of routing systems.
Potential Commercial Applications
Potential commercial applications of this technology include messaging platforms, customer service systems, and any service that relies on efficient message routing for communication.
Possible Prior Art
One possible prior art could be the use of feedback data and performance metrics to optimize routing systems in other contexts, such as network traffic management or load balancing algorithms.
What are the potential impacts of this technology on message delivery efficiency?
The technology could significantly improve message delivery efficiency by dynamically routing messages based on real-time performance metrics, leading to higher success rates and reduced congestion in provider queues.
How does this technology compare to existing methods of message routing optimization?
This technology stands out by combining feedback data, conversion rates, congestion levels, and performance levels to make informed decisions about routing provider queues, resulting in more effective and efficient message delivery.
Original Abstract Submitted
disclosed are systems, methods, and non-transitory computer-readable media for routing provider queues. a method includes receiving a plurality of feedback data each associated with one of a plurality of routing providers, each of the plurality of feedback data indicating whether messages allocated to a corresponding routing provider were successfully delivered, determining a conversion rate for each routing provider based on corresponding feedback data, determining a congestion level for each routing provider based on a rate at which messages are dequeued from a message queue of a corresponding routing provider, and determining a performance level of each routing provider based on the corresponding conversion rate and the corresponding congestion level
