Online Store Modification Scheduling for Flash Sale Traffic

Solution Overview

Problem

E-commerce systems face significant strain during flash sale events due to sudden high demand, leading to resource overload and potential service degradation.

Innovation Solution

A computer-implemented method for scheduling modifications to online stores, which involves detecting anticipated flash sale events, adjusting the timing of modifications to avoid resource overload, and dynamically allocating resources based on anticipated traffic levels.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a modification is scheduled to enable an online store to receive orders for a product, then the online store can successfully promote the product, but the system may experience resource overload and service degradation due to sudden high demand

Engineering Contradiction:

Improveorder processing capabilityVSAvoidsystem stability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary actions by detecting anticipated flash sale events before they occur and proactively rescheduling modifications to avoid coinciding with these high-demand periods. The server monitors customer activity metrics and predicts flash sales in advance, then adjusts modification timing preemptively to prevent resource overload before it happens.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring customer activity metrics (page views, cart additions, checkout initiations) and using this information to detect anticipated flash sale events. This feedback loop allows the system to dynamically adjust modification scheduling based on real-time system state and predicted demand patterns.

Inventive Principle:

Principle #23Feedback

2Productivity

If modifications are made to enable flash sale events, then product promotion effectiveness increases, but system strain and resource overload increase

Engineering Contradiction:

Improveflash sale support capabilityVSAvoidsystem strain

Core Design Contradiction:

ProductivityVSStress or pressure

Solution Approach 1:

The system performs preliminary actions by detecting anticipated flash sale events before they occur and proactively rescheduling modifications to avoid coinciding with these high-demand periods. The server monitors customer activity metrics and predicts flash sales in advance, then adjusts modification timing preemptively to prevent resource overload before it happens.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring customer activity metrics (page views, cart additions, checkout initiations) and using this information to detect anticipated flash sale events. This feedback loop allows the system to dynamically adjust modification scheduling based on real-time system state and predicted demand patterns.

Inventive Principle:

Principle #23Feedback

3Loss of time

If modifications are scheduled at optimal times for product promotion, then sales effectiveness improves, but timing conflicts with anticipated flash sales may cause resource overload

Engineering Contradiction:

Improvemodification timing optimizationVSAvoidresource allocation stability

Core Design Contradiction:

Loss of timeVSReliability

Solution Approach 1:

The system performs preliminary actions by detecting anticipated flash sale events before they occur and proactively rescheduling modifications to avoid coinciding with these high-demand periods. The server monitors customer activity metrics and predicts flash sales in advance, then adjusts modification timing preemptively to prevent resource overload before it happens.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies dynamics by making modification schedules flexible and adaptable rather than fixed. The server can dynamically reschedule modifications based on detected flash sale patterns and current system state, allowing the timing to adjust in response to changing conditions while still achieving promotional objectives.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS12223449B2Systems and methods for modifying online stores through scheduling

Publication Date: 2025.02.11 SHOPIFY INC

AI summary

Methods and systems for scheduling modifications to online stores. Scheduling a modification, to an online store, to occur at a first time. Monitoring requests, associated with the online store, received from user devices. Determining, based on the monitored requests, a metric indicating a level of customer activity associated with the online store. Comparing the level of customer activity with a threshold level of customer activity associated with the modification and, based on the comparison, determining a second time for scheduling the modification.