Transaction Modification Using Modeled Buyer Profiles for Item Recommendations
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Solution Overview
Problem
Merchants often lack access to comprehensive information about their customers' shopping habits, making it difficult to provide personalized item recommendations that could enhance sales.
Innovation Solution
A service provider analyzes transaction data from multiple merchants and buyers to create profiles, enabling real-time or predetermined item recommendations for cross-selling, up-selling, and bundling based on buyer histories and merchant offerings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If merchants conduct transactions in person at point of sale locations, then face-to-face customer service is provided, but access to information about customer shopping habits is severely limited
Solution Approach 1:
A service provider acts as an intermediary between merchants and customers, collecting and analyzing transaction data from multiple sources to create comprehensive buyer profiles. These profiles include shopping habits, preferences, and purchase patterns that merchants can access through the system, enabling personalized recommendations without requiring merchants to conduct their own data collection and analysis
Solution Approach 2:
The service provider creates a universal platform that serves multiple merchants simultaneously, aggregating transaction data across different merchants to build comprehensive buyer profiles. This multi-functional system benefits all participating merchants by providing them with access to the same enriched customer information, enabling cross-merchant personalized service
2Productivity
If merchants lack access to comprehensive customer information, then data privacy and security are maintained, but ability to provide personalized recommendations and grow business is hindered
Solution Approach 1:
The service provider performs preliminary data collection and analysis by gathering transaction information from multiple merchants and creating comprehensive buyer profiles in advance. When a customer makes a purchase, the system has already processed and analyzed their shopping patterns, enabling merchants to immediately access personalized recommendation data without delaying for real-time analysis
Solution Approach 2:
The system uses anonymized and aggregated transaction data that loses individual identifying characteristics through processing. The buyer profiles contain synthesized shopping pattern information rather than raw personal data, allowing business intelligence extraction while maintaining customer privacy and data security
3Measurement precision
If merchants analyze transaction data themselves, then customized recommendations can be provided, but system complexity and computational resources required increase significantly
Solution Approach 1:
The complex data analysis functionality is extracted from individual merchants and consolidated into a centralized service provider system. The service provider performs all the sophisticated pattern recognition, profile creation, and recommendation generation, while merchants simply access the pre-processed results through simple interfaces, eliminating the need for merchants to build complex analytical systems
Data Source
AI summary
Transaction modification based on modeled profiles is described. In an example, transaction data can be received from merchant computing devices associated with merchants associated with a payment processing system. A model can be trained to generate profiles using, as training data, one or more of merchant data, buyer data, or the transaction data. Upon receiving an indication of a particular transaction between a buyer and a merchant, it can be determined that a characteristic of the transaction corresponds to a profile of the generated profiles. Based on the determination that the characteristic corresponds to the profile and the transaction data, a recommendation can be generated for a modification of the transaction to add an item or replace an item.