Clickable Prompt Buttons for Streamlined E-commerce Product Information Retrieval
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Solution Overview
Problem
Users face frustration when browsing e-commerce websites due to the need to click through numerous pages and type long prompts to access information, leading to increased abandonment rates and reduced customer satisfaction.
Innovation Solution
The implementation of embeddable clickable prompt buttons that interact with large language models, allowing users to quickly receive product information by clicking on pre-programmed buttons, eliminating the need for lengthy typing and page searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users type long prompts and search through long pages to access information, then they can obtain detailed product information, but the time required increases significantly leading to user abandonment
Solution Approach 1:
The patent segments the information retrieval process by dividing the long product detail page into multiple sections with strategically placed clickable prompt buttons. Each button is associated with specific information segments (e.g., pricing, specifications, reviews), allowing users to jump directly to desired information without reading the entire page, thus reducing information loss while minimizing time expenditure.
Solution Approach 2:
The system performs preliminary action by pre-positioning clickable prompt buttons at key locations throughout the product detail page before users arrive. These buttons are pre-programmed with specific information retrieval functions, so when users click them, the desired information is immediately accessed and displayed, eliminating the need for users to manually search through long pages or type lengthy prompts.
2Loss of information
If users manually search through long product detail pages, then they can find specific information, but the operational complexity and effort increase
Solution Approach 1:
The patent introduces clickable prompt buttons as intermediary elements between users and the product information. These buttons act as mediators that users can easily click, and they automatically trigger the retrieval and display of specific information segments. This intermediary mechanism simplifies the interaction from manual searching to single-click information access, greatly improving ease of operation while maintaining information completeness.
Solution Approach 2:
The system implements self-service by enabling users to independently access specific product information through intuitive clickable prompt buttons without requiring manual searching or complex interactions. The buttons are strategically placed and clearly labeled, allowing users to serve themselves by simply clicking the button corresponding to the information they need, thereby enhancing browsing ease while ensuring complete information access.
3Adaptability or versatility
If traditional chatbots are used to provide product information, then users can interact with the system, but the requirement to type long prompts reduces conversion rates
Solution Approach 1:
The patent inverts the traditional chatbot interaction model. Instead of requiring users to type prompts and the chatbot to interpret and respond, the system provides clickable prompt buttons that users can simply click. The system then automatically generates and sends the appropriate information requests, reversing the effort requirement from user to system. This inversion maintains interaction capability while dramatically improving conversion rates by eliminating the friction of typing long prompts.
Data Source
AI summary
A system and associated method for simplifying and enhancing a customer browsing experience on websites. In an embodiment, the method involves, upon determining that a customer has clicked on a clickable prompt button embedded at a website, in association with a specific product or article, displaying instantaneous product information to the user without requiring the user to type in lengthy requests. In another embodiment, upon determining that a customer has clicked on a clickable prompt button embedded at a website, providing means for enabling the customer to interact with a large language model that is capable of responding with specificity to user questions about products on the websites based on contextual information transparently provided by the clickable prompt buttons.