Active Relationship Management for Individual Quote Tracking
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Solution Overview
Problem
Conventional relationship management tools focus on organization-level information, failing to effectively monitor and utilize quotes from individuals associated with companies, which limits their ability to support the social side of sales and provide a person-to-person relationship-based framework.
Innovation Solution
A computer-implemented method and system that identifies individuals associated with enterprises, parses information for quotes, and stores them in a database, allowing for the monitoring of who is being quoted, the frequency, and the subject of quotes, thereby supporting a person-to-person relationship-based framework for business applications like sales.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional relationship management tools focus on organization-level information, then they can provide organization-level perspective for companies, but they fail to effectively monitor and utilize quotes from individuals associated with companies
Solution Approach 1:
The system segments information at the individual level by identifying specific individuals associated with companies and tracking their quotes separately from organizational data. This allows organization-level and individual-level information to be managed independently, resolving the contradiction between providing organization-level perspective and capturing individual quote information.
Solution Approach 2:
The patent adds a new dimension to traditional relationship management by introducing individual-level tracking alongside organization-level data. This dimensional expansion enables the system to monitor both company-wide trends and individual executive activities, quotes, and communications simultaneously.
2Adaptability or versatility
If the system tracks individual quotes and associates them with individuals and companies, then it enables person-to-person relationship monitoring, but it increases the complexity of data processing and storage
Solution Approach 1:
The system uses a unified database structure that can store both organization-level information and individual quote information using the same fundamental mechanisms. This multi-functional approach allows the system to handle diverse data types (company profiles, individual quotes, relationships) through a single consistent framework, reducing overall complexity.
Solution Approach 2:
The patent introduces an intermediary processing layer that automatically identifies individuals, extracts quotes, and associates them with relevant companies and individuals. This intermediary mechanism simplifies the data collection and processing complexity by providing a standardized approach to handling diverse information sources.
3Measurement precision
If the system parses information into units of data and searches for quotes, then it can identify and extract relevant quote information, but it increases processing time and computational resources
Solution Approach 1:
The system performs preliminary parsing and organization of information into manageable units before conducting quote searches. By pre-processing and structuring the data in advance, the system reduces the computational burden and time required for subsequent quote identification and extraction operations.
Data Source
AI summary
Methods and apparatus for active relationship management. A computer implemented method for relationship management includes receiving a list of one or more enterprises. The method includes identifying one or more individuals associated with at least one of the enterprises. The method includes receiving information related to a topic of interest. The method includes parsing the received topic information into units of data. The method includes searching the units of data for one or more quotes. The method includes determining whether a found quote is related to any of the identified individuals. The method includes associating, if the found quote is determined to be related to one or more of the identified individuals, the quote found with the one or more individuals. The method includes storing the quote in a database.