Entity Resolution Platform for AI Duplicate Detection Across Business Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems fail to integrate marketing, sales, and service interactions effectively, requiring complex and time-consuming data extraction and synchronization across different databases and formats, leading to inefficiencies and delays in customer engagement.
Innovation Solution
An entity resolution system using artificial intelligence to deduplicate business entities by generating vectorized representations, reducing dimensions, and processing matrices to identify and classify duplicate entities, thereby facilitating seamless integration across marketing, sales, and service activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional systems are used to extract and synchronize data across separate databases for marketing, sales, and service activities, then data can be obtained from different sources, but the process becomes complex and time-consuming
Solution Approach 1:
The patent merges multiple separate databases (marketing, sales, service) into a unified database structure where all customer interaction data is stored in a single location. This eliminates the need for complex data extraction and synchronization across separate systems, directly resolving the technical contradiction by combining data sources to reduce time loss.
Solution Approach 2:
The unified database serves multiple functions simultaneously - supporting marketing activities, sales activities, and service activities all from a single data source. This multi-functional approach allows the system to adapt to different business activities without requiring separate data extraction processes for each function.
2Loss of information
If data is extracted from separate databases using complex queries and APIs, then relevant information can be obtained, but the process requires complex operations and transformations
Solution Approach 1:
By combining all data into a unified database, the system eliminates the need for complex queries and APIs to extract data from multiple separate sources. Data completeness is maintained while process complexity is dramatically reduced because all required information resides in a single database that can be accessed directly.
Solution Approach 2:
The patent extracts the complexity of data integration by taking out the need for multiple separate databases and their associated complex query mechanisms. Instead, a single unified database structure is created that provides direct access to all required information without complex transformation operations.
3Adaptability or versatility
If separate databases are used for different business activities, then data can be stored in native formats, but synchronization and normalization become time-consuming tasks
Solution Approach 1:
The patent merges multiple data formats into a unified database structure that accommodates all types of data (marketing, sales, service) in a single standardized format. This eliminates the need for ongoing synchronization and normalization tasks between separate databases, as all data is stored together from the beginning in compatible formats.
Data Source
AI summary
The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems, the creation, development, maintenance, and use of a set of custom objects for use in a wide range of activities, including sales activities, marketing activities, service activities, content development activities, and others, as well as improved methods and systems for sales, marketing and services that make use of such entity resolution systems and methods as well as custom objects.