Real-Time Transaction Monitoring for Wager Limit Enforcement
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Solution Overview
Problem
Lottery organizations face challenges in enforcing rules limiting wager amounts, as retailers may circumvent limits by processing multiple tickets for a single player within a short time frame, making it difficult to identify and prevent excessive gambling or undesirable retailer behavior.
Innovation Solution
A method and system that identify potentially banned transactions by receiving transaction data, determining related transactions within a specific time window and threshold, and raising alerts or taking actions when the total wager amount exceeds allowed limits, including contacting retailers or canceling transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If retailers process multiple tickets for a single player within a short time frame to circumvent wager limits, then the retailer can exceed the allowed wager amount, but the system becomes difficult to monitor and enforce rules
Solution Approach 1:
The system performs preliminary actions by establishing a time window around each transaction and proactively identifying related transactions before finalizing the wager validation. This allows the system to preemptively detect potential rule violations by summing wager amounts of related transactions within the time window and comparing against the allowed limit, rather than waiting for post-transaction analysis
Solution Approach 2:
The system implements feedback by continuously monitoring transaction patterns and using the results to identify potentially banned transactions. The central location receives transaction information, determines related transactions within a time window, calculates total wager amounts, and provides feedback by identifying violations that trigger alerts or prevent further transactions
2Reliability
If the system monitors all transactions to ensure compliance with wager limits, then rule compliance improves, but the processing time and computational resources increase
Solution Approach 1:
The system applies local quality by focusing monitoring efforts on specific local contexts rather than uniformly analyzing all transactions. It defines a local search space around each transaction using a time window parameter, only examining transactions that occur within this localized temporal context. This allows comprehensive compliance monitoring while avoiding the computational burden of analyzing all historical transactions
3Ease of operation
If the system uses a fixed time window to identify related transactions, then the rule enforcement becomes simpler, but it may fail to capture transactions that occur outside the fixed window
Solution Approach 1:
The system implements dynamics by making the time window flexible rather than fixed. The time window is defined as a range of time values extending before and after each transaction, allowing the system to adaptively capture related transactions based on their actual timing. This dynamic approach maintains operational simplicity through parameterized windows while improving detection accuracy by capturing transactions that occur at variable intervals
Data Source
AI summary
A system and method for identifying potentially banned transactions in a real time or near real time fashion is provided. The identification of banned transactions may help a lottery corporation to ensure that retailers are enforcing the rules.