Destination Prediction Algorithm for Service Requests
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Solution Overview
Problem
Users face inconvenience when manually inputting destination locations or delivery addresses on online to offline service platforms, leading to cumbersome and inefficient service requests.
Innovation Solution
A system and method that predicts a suggested destination location based on historical records and user input, using a pre-stored destination matching algorithm to calculate selection probabilities and display the suggested location on a user interface, thereby simplifying the service request process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually input destination location or delivery address, then service request can be completed, but user operation becomes cumbersome and inconvenient
Solution Approach 1:
The system pre-stores historical destination locations and delivery addresses in a database before users need them. When a user initiates a service request, the system retrieves and presents these pre-stored locations for selection, eliminating the need for manual input and saving time.
Solution Approach 2:
The system automatically retrieves and presents historical destination locations based on user identification without requiring manual input. The system serves itself by using its own stored data to fulfill the user's need, reducing operational burden on the user.
2Ease of operation
If the system provides destination prediction based on historical records, then user experience is improved, but system complexity increases
Solution Approach 1:
The system uses a universal database structure that stores historical destination locations applicable to multiple users and service types. The same database and retrieval mechanism serves different users and service scenarios, avoiding the need for separate complex systems for each case.
Solution Approach 2:
The system introduces an intermediary database that mediates between user input and service processing. Instead of directly complex processing of user inputs, the system uses this intermediary storage layer to simplify the interaction, making the overall system more manageable despite the added functionality.
Data Source
AI summary
A system includes at least one non-transitory storage medium storing a set of instructions and at least one processor in communication with the at least one non-transitory storage medium. When executing the set of instructions, the at least one processor may be directed to cause the system to obtain a service request signal sent from a user terminal via wireless communication, wherein the service request signal encodes identifier data, a first departure location, and a first departure time; retrieve one or more historical records related to the identifier data, wherein a historical record includes a historical departure location, historical departure time and a historical destination location; determine, using a pre-stored destination matching algorithm, a selection probability of the one or more historical destination location; determine, based on the selection probability, a suggested destination location, which is the same as the one or more historical destination locations.