Merchant Database Construction from Transaction Data
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Solution Overview
Problem
Existing methods fail to effectively utilize transaction data to benefit merchants in the competitive commerce environment, lacking in providing actionable insights for improving merchant performance and decision-making.
Innovation Solution
A computer-based system that stores and processes transaction data to generate customer and merchant profiles, combining these to produce business information such as profit projections, market share, and revenue analysis, facilitating detailed merchant database construction and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If transaction data is collected and processed to generate merchant profiles and business information, then the quality and usefulness of information for merchants is improved, but the complexity of the data processing system increases
Solution Approach 1:
The system segments transaction data processing into distinct modules: data collection from multiple sources, customer profile generation, merchant profile generation, and business information processing. Each module handles specific aspects of data transformation, making the overall complex system manageable and maintainable while maximizing information utilization.
Solution Approach 2:
The system introduces intermediary processing layers including data normalization modules, profile generation algorithms, and analysis engines that transform raw transaction data into actionable business information. These intermediaries bridge the gap between raw data and merchant decision-making needs, reducing information loss while managing processing complexity.
2Measurement precision
If detailed customer and merchant profile information is generated and combined, then the precision of business insights is improved, but the time required for data processing increases
Solution Approach 1:
The system performs preliminary data normalization and profile generation in advance, creating reusable customer and merchant profiles that can be quickly queried and combined. This pre-processing approach maintains high precision in business insights while reducing real-time processing time by avoiding redundant computations.
Solution Approach 2:
The system dynamically adjusts processing parameters such as data sampling rates, profile detail levels, and analysis depth based on query requirements. This allows the system to deliver high-precision insights when needed while providing faster, less detailed responses for routine queries, effectively balancing precision and processing time.
Data Source
AI summary
The invention relates to a method and system, including a computer system for storing and manipulating transaction data including transaction purchase information, customer demographics information, and merchant information, the computer system comprising a storage device for storing the transaction data and a processor for processing the transaction data. The method may include obtaining transaction purchase information generated from a plurality of sources; generating customer profile information based on the transaction purchase information; and obtaining merchant information relating to at least one merchant. The method may further include generating merchant profile information based on the merchant information and purchase transaction information; and processing the customer profile information and the merchant profile information in combination to generate business information; wherein the business information includes at least one selected from the group consisting of merchant profit information, merchant bankruptcy information, merchant revenue, merchant profit projections, and merchant market share.