Transaction Request Management Engine for E-Commerce Load Reduction
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Solution Overview
Problem
Online commerce platforms face challenges in managing transaction requests efficiently, leading to increased resource demands and potential degradation of user experience due to surges in transaction requests exceeding processing capacity.
Innovation Solution
Implementing a transaction request management engine that selects a set of users based on defined conditions, allowing only permitted users to send transaction requests, thereby reducing the number of requests processed and conserving system resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system allows all users to send transaction requests, then user accessibility is improved, but system resource demand increases and responsiveness deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-selecting eligible users before the flash sale event begins. User eligibility is determined in advance based on stored criteria (account status, location, purchase history), creating a pre-approved list of users who can participate. This preliminary filtering prevents ineligible users from even attempting to access transaction features during the sale, thereby reducing system load while maintaining accessibility for qualified users.
2Reliability
If the system processes all incoming transaction requests, then transaction completeness is improved, but resource consumption increases during peak periods
Solution Approach 1:
The system extracts and removes ineligible users from the pool of potential transaction participants before the flash sale begins. By applying filtering criteria to user profiles and removing those who don't meet requirements (such as users with suspended accounts, incorrect locations, or poor purchase history), the system reduces the number of transaction requests that need to be processed during peak periods, thereby lowering resource consumption while ensuring that only potentially valid transactions are handled.
3Productivity
If user eligibility filtering is implemented, then system load is reduced, but system complexity increases
Solution Approach 1:
The system performs preliminary eligibility assessment and user filtering before the flash sale event. User profiles are pre-evaluated against eligibility criteria (account status, geographic location, purchase history metrics) and results are stored. During the actual sale, the system simply checks against this pre-computed eligibility data rather than performing complex real-time evaluations, thereby reducing system load while managing complexity through advance preparation.
Data Source
AI summary
Processing transaction requests may be considered a computationally expensive operation for a computing system such as an e-commerce platform. An aspect of the present disclosure relates to systems and methods to reduce the number of transaction requests that are received and/or processed by a computing system. This may reduce demand on the computing system's resources and potentially improve the responsiveness of the computing system. In some embodiments, a set of users is selected based on at least one defined condition for a particular transaction request. Origination of the particular transaction request on behalf of users excluded from the set of users is prevented in order to reduce the number of the particular transaction requests that are received and/or processed by a corresponding computing system.