Dynamic Sales Data Trigger System for Automatic Purchasing
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Solution Overview
Problem
Users face challenges in finding the best price for items with dynamic pricing models, such as travel tickets and electronics, as they need to constantly monitor prices, leading to potential missed opportunities for better deals due to unpredictable sales behaviors and inventory fluctuations.
Innovation Solution
A system that allows users to set preauthorization data with a service provider, specifying criteria for automatic purchasing, including price targets, maximum prices, dates, and other factors like inventory levels and social trends, enabling the service provider to automatically purchase items when conditions are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually monitor prices continuously to find the best deal, then purchase timing accuracy is improved, but time consumption and operational complexity increase
Solution Approach 1:
Users pre-configure purchase criteria including target prices, price ranges, and conditions before monitoring begins. The system then automatically executes purchases when these pre-set conditions are met, eliminating the need for continuous manual monitoring while maintaining accurate purchase timing.
Solution Approach 2:
The system autonomously monitors prices, evaluates conditions, and executes purchases without requiring continuous user intervention. Once users set their initial parameters, the system serves itself by automatically detecting optimal purchase moments and completing transactions.
2Reliability
If users manually check prices repeatedly to catch sales opportunities, then purchase opportunity detection is improved, but operational complexity increases
Solution Approach 1:
Users define all purchase conditions, price thresholds, and criteria in advance. The system then automatically detects when sales opportunities meet these pre-configured conditions, ensuring reliable opportunity detection without requiring users to repeatedly check prices or understand complex monitoring procedures.
Solution Approach 2:
The system continuously monitors price data and provides feedback by comparing current prices against pre-set criteria. When conditions are satisfied, the system triggers automatic purchases, creating a closed-loop system that reliably detects opportunities while keeping user interaction minimal.
3Loss of energy
If users wait for optimal pricing conditions, then purchase cost is reduced, but purchase time is delayed
Solution Approach 1:
Users pre-configure their target prices and acceptable price ranges before monitoring begins. The system then automatically purchases items when prices reach these pre-set optimal levels, ensuring cost reduction while eliminating the need for users to wait manually and reducing overall purchase time.
Solution Approach 2:
The manual process of continuously checking prices and manually purchasing is replaced by an automated computerized system. This substitution allows the system to monitor prices continuously and execute purchases instantly when optimal conditions are met, reducing both cost and time compared to manual waiting and checking.
Data Source
AI summary
There are provided systems and methods for to triggers for automatic purchasing based on dynamic sales data. A user may establish preauthorization data with a service provider that indicates an item of interest that the user would like to purchase. Additionally, the user may set criteria required to be met for an automatic purchase of the item of interest by the service provider on behalf of the user. The criteria may correspond to a purchase price, date, discount, or additional information associated with the item, including inventory, purchases by friends, and other types of data. The service provider may use the preauthorization data to determine triggers that, when met, cause the service provider to purchase the item on behalf of the user. Additionally, the service provider may monitor sales data for the item and additional information until a trigger is met to cause a purchase of the item.