Shared Mailbox Contextual Tagging for Selective Message Routing
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Solution Overview
Problem
In shared mailboxes, it is challenging for users to determine which emails are relevant to them amidst a large volume, leading to missed opportunities and customer dissatisfaction due to delayed responses, and remembering context is difficult.
Innovation Solution
A digital message management platform that analyzes message content and metadata to identify intended recipients, providing contextual notifications, tagging, and categorizing messages based on user access, allowing selective display and anonymization, and routing messages to appropriate users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users access a shared mailbox to receive messages, then message volume increases, but it becomes difficult to determine which emails are relevant to each user
Solution Approach 1:
The system segments the shared mailbox messages by automatically identifying and tagging intended recipients within the message content. Each user sees only the messages relevant to them, dividing the large message volume into user-specific subsets based on contextual analysis of message content, metadata, and recipient identification.
2Reliability
If users monitor all messages in the shared mailbox, then no opportunities are missed, but response time increases due to message volume
Solution Approach 1:
The system performs preliminary action by automatically analyzing message content, identifying intended recipients, and tagging messages before users access the mailbox. This pre-processing ensures that users can immediately identify relevant messages without manually scanning through all messages, maintaining reliable opportunity detection while reducing response time.
3Quantity of substance
If users receive large volumes of emails, then comprehensive coverage is achieved, but context retention becomes difficult
Solution Approach 1:
The system extracts and highlights only the essential contextual information needed for each user by identifying intended recipients and tagging relevant messages. This extraction process removes unnecessary information from each user's view, retaining only the context necessary for that specific user to understand and respond to messages appropriately.
4Ease of operation
If the system provides detailed message routing and tagging, then message organization improves, but system complexity increases
Solution Approach 1:
The system employs self-service by using automated natural language processing and contextual analysis to identify intended recipients and apply appropriate tags without manual intervention. This automation handles the complexity of message organization internally, presenting a simple, well-organized view to users while the system manages the underlying complexity through intelligent algorithms.
Data Source
AI summary
Techniques for managing digital messages to and from a shared mailbox are disclosed. A system receives a message directed to a shared mailbox. The system analyzes contextual data in the message to identify a set of users with access to the shared mailbox who are recipients of the message. The system performs notification operations to notify different users with access to the shared mailbox of different messages. Notification operations include sending a notification to a particular communications platform, such as email, instant message, or text, that a message in the shared mailbox is associated with the recipient, tagging the message in the shared mailbox with names of recipients associated with the message, and/or categorizing the messages in the shared mailbox according to users.