Multi-Channel Offer Redemption System Architecture
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Solution Overview
Problem
Current systems lack an efficient and integrated solution for processing transaction data to provide personalized and targeted advertisements across multiple channels, failing to effectively correlate online activities with offline transactions and predict consumer behavior accurately.
Innovation Solution
A system that processes transaction data from various payment methods to generate user profiles, correlating online activities with offline transactions, and uses this intelligence to deliver personalized advertisements through a centralized data warehouse, enabling real-time offer redemption across multiple channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional separate systems are used for online advertising and offline transaction processing, then system simplicity is maintained, but the ability to correlate online activities with offline transactions and provide personalized advertisements across multiple channels is insufficient
Solution Approach 1:
The patent combines online advertising systems with offline transaction processing systems into a unified multi-channel redemption system. The system integrates data from multiple sources including online advertisements, offline transactions, and user profiles into a single centralized platform that can process and redeem offers across different channels, thereby achieving multi-channel offer redemption capability while managing system complexity through unified architecture.
Solution Approach 2:
The system is designed to perform multiple functions within a single platform: it processes online advertisements, tracks offline transactions, generates user profiles, predicts consumer behavior, and redeems offers across multiple channels. This multi-functional approach enables the system to handle diverse tasks related to multi-channel offer redemption without requiring separate specialized systems for each function.
2Measurement precision
If comprehensive transaction data from multiple channels is collected and processed, then advertising effectiveness and consumer behavior prediction accuracy are improved, but data processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing transaction data from multiple channels as it becomes available, organizing it into structured formats and generating preliminary user profiles before actual analysis is needed. This pre-processing approach reduces the computational burden during real-time consumer behavior prediction, thereby improving prediction accuracy while minimizing data processing time when queries are executed.
3Productivity
If real-time offer redemption is implemented across multiple channels, then consumer engagement is improved, but system reliability and transaction accuracy may be compromised due to increased complexity
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor transaction processing across multiple channels, validating data integrity and offer redemption accuracy in real-time. The feedback loop detects and corrects potential errors, ensures consistent application of offer rules, and maintains transaction reliability even as the system processes offers across diverse channels at high speed.
Data Source
AI summary
Provided is a method for presenting images with embedded links for multi-channel redemption in a user interface. The method includes displaying an image including a first selectable portion and a second selectable portion, wherein a first link is embedded in the first selectable portion and points to a portal under control of a transaction handler, the first link identifying an offer for a merchant including at least one condition, and wherein a second link is embedded in the second selectable portion and points to the merchant. The method further includes, in response to a user selecting the first selectable portion of the image and following the first link, identifying, by the transaction handler and/or the portal, the user and an account of the user, and associating, by the transaction handler and/or the portal under control of the transaction handler, the offer with the account of the user.