Auto-Complete Store Suggestion Traffic Driver
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Solution Overview
Problem
E-commerce platforms face challenges in providing a better shopping experience while driving traffic to selected stores, as users often struggle to find suitable stores to purchase products or services, and sellers want to increase traffic to specific products while maintaining a user-friendly experience.
Innovation Solution
Implementing an auto-complete function in search interfaces that suggests stores or products based on user input, using configuration files to prioritize matches and display relevant pictures, and utilizing traffic driver pictures to direct users to specific outlets, enhancing the shopping experience and driving targeted traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional search interfaces are used without store suggestions, then users can search for products freely, but users struggle to find suitable stores to purchase products and traffic to selected stores is insufficient
Solution Approach 1:
The system pre-configures store information, images, and routing data in configuration files before users perform searches. When a user searches for a product, the system has already prepared relevant store suggestions and traffic driver information, enabling immediate presentation of purchase options without requiring users to manually search for stores.
Solution Approach 2:
The patent introduces an intermediary layer between product search and purchase completion. This intermediary system analyzes search results, matches products with relevant stores using configuration files, and presents store suggestions to users. The intermediary also manages traffic driver images and routing information, facilitating the connection between users and selected stores.
2Ease of operation
If store suggestion features are added to search interfaces, then users gain easier access to purchase options, but system complexity increases due to configuration files and traffic driver management
Solution Approach 1:
The system employs self-service mechanisms where configuration files automatically contain store information, image paths, and routing data without requiring manual intervention for each product-store pairing. The system self-manages traffic driver images and automatically generates store suggestions based on pre-configured data, reducing the operational burden on users and simplifying maintenance.
Solution Approach 2:
The patent utilizes parameter changes by storing configurable data (store names, images, routes) in external configuration files rather than hardcoding them into the system. This allows flexible modification of store suggestions and traffic driver information by simply updating configuration parameters, without requiring changes to the core system architecture or code.
3Productivity
If traffic driver pictures are implemented to direct users to stores, then targeted traffic to selected stores increases, but information processing and presentation complexity increases
Solution Approach 1:
The patent extracts traffic driver image data and store information into separate configuration files, isolating this complex information from the core search processing logic. By taking out image paths, store details, and routing information into external configurations, the system simplifies the main processing flow while still delivering comprehensive store suggestions with visual elements.
Solution Approach 2:
Traffic driver images and store information are pre-prepared and stored in configuration files before users perform searches. The system has already organized image paths, store details, and routing information in advance, so when a user searches for a product, the complex information processing has already been partially completed, and the system only needs to retrieve and present the pre-configured data.
Data Source
AI summary
A system and method for providing a suggested store at or through which to purchase a product or service. When a user enters a query for a product or service into a user interface, the system may use the query as a search argument to search files to find one or more pictures illustrating information about a product or service represented by the query. The picture could illustrate where the queried product or service may be purchased. Auto-complete processes may also be used to process the query as it is being entered, to generate an auto-suggestion key word based on fewer than all the letters of the query, to use as a search argument for the search. Both the query and the auto-suggestion key word may be used as search arguments to find the relevant picture in a variety of search logic sequences to provide the picture to the user.