Mobile App Prompting via Supply-Demand Ratio Analysis
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Solution Overview
Problem
Existing online to offline service applications on mobile devices fail to effectively present information that meets user demands, particularly in terms of service availability and allocation, leading to poor user experience due to inadequate supply-demand ratio feedback and vehicle allocation notifications.
Innovation Solution
A system and method that utilize a processor to determine supply-demand ratios for service types based on user location, sending bubble and card prompting messages on the user interface to recommend alternative services or provide vehicle allocation details, including information like vehicle color, plate number, and estimated arrival time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the application displays basic service information on the user interface, then the interface remains simple and clean, but the information does not meet user demand for service availability and allocation details
Solution Approach 1:
The information is segmented into different visual components: bubble prompts for service availability recommendations and card prompts for vehicle allocation details. This segmentation allows the interface to present comprehensive information in an organized, non-overwhelming manner, addressing the need for detailed information while maintaining interface clarity.
Solution Approach 2:
The patent introduces visual dimensionality through bubble and card elements that overlay or integrate with the existing interface. This adds information depth without expanding the horizontal or vertical space excessively, allowing rich information presentation while preserving interface simplicity.
2Ease of operation
If the application provides detailed service information and recommendations, then user experience improves, but the system requires more complex processing and data analysis capabilities
Solution Approach 1:
The system pre-calculates supply-demand ratios and prepares recommendation data before user interaction. This preliminary processing allows the interface to display ready-made recommendations without requiring complex real-time calculations during user operations, improving ease of use while managing system complexity through advance preparation.
Solution Approach 2:
The system implements feedback mechanisms where bubble prompts provide service availability recommendations based on supply-demand analysis, and card prompts deliver vehicle allocation status. This feedback loop enhances user experience by providing actionable information while the underlying processing complexity is abstracted away from the user.
3Productivity
If the application calculates and displays supply-demand ratios in real-time, then service allocation efficiency improves, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary calculations of supply-demand ratios and prepares recommendation data in advance, before users need to view or act on this information. This reduces the perceived processing time during user interactions while maintaining real-time allocation efficiency through pre-computed data.
Solution Approach 2:
The system autonomously calculates and updates supply-demand ratios without requiring user initiation for each calculation. This self-service approach maintains efficient service allocation through continuous monitoring while minimizing the time users perceive as processing delay, as calculations occur independently of user actions.
Data Source
AI summary
Systems and methods for presenting a prompting message on a user interface of an online to offline service application in a user terminal are provided. A method includes: obtaining, from a user terminal, a service request for a first service type, wherein the service request includes a location of the user terminal; determining a first supply-demand ratio of the first service type based on the location of the user terminal; determining whether the first supply-demand ratio is greater than a first ratio threshold; and in response to determining that the first supply-demand ratio is not greater than the first ratio threshold, sending, to the user terminal, a first bubble prompting message presented on a user interface of the user terminal, wherein the first bubble prompting message includes a second service type and a response time of the second service type.