Merchant Trade Area Identification via Transaction Data
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Solution Overview
Problem
Current search engines fail to accurately filter search results based on merchant trade areas, leading to misleading distance calculations and exclusion of preferred merchants due to geographic proximity algorithms, which do not account for actual travel time and customer bases.
Innovation Solution
A system and method that identify merchant trade areas by analyzing transaction data to determine travel distances and update merchant profiles, allowing for filtering of search results based on the geographic locations of consumers involved in payment transactions with each merchant, thereby refining search results to include or exclude merchants based on their actual customer reach.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search engines use distance-based algorithms to filter search results, then geographically closer merchants are prioritized, but actual travel time and customer base considerations are ignored
Solution Approach 1:
The patent changes the parameter from simple geographic distance to trade area radius derived from actual transaction data. Instead of using straight-line or driving distance, the system calculates a trade area radius based on the geographic spread of consumers who have made purchases from the merchant, thereby capturing actual customer reach and adjusting the effective service area accordingly.
Solution Approach 2:
The system uses feedback from transaction data to continuously refine and update merchant profiles with accurate trade area information. By analyzing actual consumer locations and purchase histories, the system adjusts and recalibrates trade area boundaries, creating a feedback loop that improves the accuracy of search results over time based on real-world behavior patterns.
2Adaptability or versatility
If merchants are included in search results based on geographic proximity, then local relevance is improved, but preferred merchants with larger trade areas may be excluded
Solution Approach 1:
The patent adds a new dimension to geographic filtering by introducing trade area radius as an additional parameter beyond simple distance. Instead of filtering solely based on whether a merchant is within a fixed radius of the user, the system uses the merchant's actual trade area radius (derived from transaction data) to determine inclusion, allowing merchants with larger or more dispersed customer bases to be appropriately ranked regardless of their distance from the user.
3Productivity
If simple distance calculations are used for search filtering, then processing speed is maintained, but accuracy of trade area representation is compromised
Solution Approach 1:
The system performs preliminary calculation and storage of trade area radii for merchants during off-peak times or in advance, rather than calculating them in real-time during search queries. By pre-computing and caching this information based on historical transaction data, the system maintains fast search processing speeds while still providing accurate trade area-based filtering results.
Data Source
AI summary
A method for identifying merchant trade areas for search result filtering includes: storing a plurality of merchant profiles, each profile including data related to a merchant including a merchant identifier and merchant geographic location; storing a plurality of transaction data entries, each entry including data related to a payment transaction including a specific merchant identifier and merchant geographic location associated with a merchant involved in the transaction, a consumer primary geographic location associated with a consumer involved in the transaction, and a travel distance based on a distance between the merchant and consumer primary geographic locations; identifying, for each merchant profile, merchant trade area data, the data including trade distances based on the travel distance included in transaction data entries where the included specific merchant identifier corresponds to the merchant identifier included in the respective merchant profile; and updating merchant profiles to include the respective identified merchant trade area data.