Transport Destination Accelerators Based on User Usage Patterns
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Solution Overview
Problem
User-centric network services face inefficiencies due to the complexity of selection interfaces and resource drain, particularly in on-demand services, leading to performance issues and inconvenience for human operators.
Innovation Solution
A network computer system that utilizes historical data and contextual information to generate service accelerators, allowing users to automatically request on-demand services with reduced manual input through preconfigured settings and intelligent selection of service providers based on user profiles and patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional selection interfaces are used for on-demand services, then users can specify service information, but the complexity of the interface and time required for selection increases
Solution Approach 1:
The system pre-configures service accelerators with common service parameters and destinations based on historical data and user profiles before the user needs to request a service. This allows users to simply select a pre-prepared accelerator rather than filling out complex forms, resolving the contradiction between ease of operation and interface complexity
Solution Approach 2:
The system automatically generates service accelerators by analyzing user behavior patterns and service history without requiring manual configuration. The accelerators are self-creating and self-updating based on accumulated data, reducing the need for complex user interaction while maintaining service customization
2Productivity
If traditional selection interfaces are used for on-demand services, then users can specify service information, but the time needed for selection occupies the interface device and drains resources
Solution Approach 1:
Service accelerators are pre-configured with common service parameters, destinations, and provider selections based on historical data before users need to request services. This eliminates the need for users to spend time filling out forms or making sequential selections, directly improving service request speed while reducing the time occupied on interface devices
Solution Approach 2:
The service request process is segmented into pre-configured accelerator modules that can be independently selected and executed. Each accelerator encapsulates a complete service request template, allowing users to quickly select and deploy services without going through the entire configuration process, thereby improving productivity and reducing selection time
Data Source
AI summary
A computing system can detect the launch of a rider application on computing devices of users of a transport service. The computing system can receive location data indicating the current location of each user, and determine a usage pattern for each user based on historical data corresponding to historical utilization of the transport service by the user. Based on the current location and the usage pattern of the user, the computing system can determine one or more suggested destination locations for the user, and transmit, over the one or more networks, display data to cause the rider application to display a destination accelerator for each of the one or more suggested destination locations. The destination accelerator can be selectable by the user to automatically input a destination location into a transport request for the transport service.