Chatbot Simulating Conversation Exchanges for Digital Ads
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Solution Overview
Problem
Conventional digital-communication techniques in networking systems are limited in providing immediate, secure, and scalable responses to user inquiries about digital advertisements, often resulting in slow email communications, excessive information through hyperlinks, and overwhelming messaging application volumes.
Innovation Solution
A chatbot is trained to simulate common conversation exchanges from messaging threads associated with similar digital advertisements, enabling immediate and tailored automated responses to user inquiries while handling high traffic volumes, without the security and volume limitations of conventional methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If email communication is used for user inquiries, then security and privacy protection are improved, but response speed and user experience deteriorate
Solution Approach 1:
The patent introduces a chatbot as an intermediary between users and advertisers. The chatbot handles initial inquiries automatically, providing immediate responses while protecting user privacy by not requiring direct email disclosure. This mediator resolves the contradiction by delivering fast responses through automation while maintaining security through controlled information exchange protocols.
Solution Approach 2:
The chatbot is pre-trained with advertiser information and common inquiry patterns before deployment. This preliminary preparation enables the chatbot to provide immediate, accurate responses without requiring real-time human intervention, thus achieving both fast response speeds and maintained security protocols.
2Speed
If messaging application is used for immediate communication, then response speed is improved, but volume handling capability deteriorates
Solution Approach 1:
The chatbot operates as an autonomous system that handles inquiries without requiring advertiser intervention for each message. It independently processes user inputs, retrieves relevant information, and generates appropriate responses, enabling the system to handle high volumes of inquiries simultaneously without additional human resources.
Solution Approach 2:
The patent replaces the mechanical system of human representatives manually handling messages with an automated chatbot system. This substitution enables the system to process numerous inquiries in parallel, achieving both immediate responses and high volume handling capability that would be impossible with human operators alone.
3Quantity of substance
If hyperlink is used for product information, then information completeness is improved, but information relevance and user experience deteriorate
Solution Approach 1:
The chatbot provides information with local quality by tailoring responses to each user's specific inquiry and context. Rather than providing generic or overly comprehensive information, the chatbot delivers precisely relevant details about products, pricing, and availability that match the user's needs, making information both complete enough to be useful and relevant enough to be engaging.
Solution Approach 2:
The chatbot dynamically adjusts the amount and type of information provided based on the conversation flow and user responses. It starts with concise answers and expands information only when users request more details, ensuring information completeness is matched to actual user needs rather than providing static, potentially overwhelming content.
4Ease of manufacture
If conventional digital-communication techniques are used, then implementation simplicity is improved, but responsiveness and security deteriorate
Solution Approach 1:
The chatbot serves multiple functions within a single system: it provides customer service, answers product inquiries, collects lead information, and guides users through purchase decisions. This multi-functionality achieves improved responsiveness and security without requiring separate systems for each function, maintaining implementation simplicity while delivering comprehensive capabilities.
Data Source
AI summary
This disclosure covers systems and methods that generate and train a chatbot to automatically communicate with users concerning subjects related to a digital advertisement received for distribution. In particular, the disclosed systems and methods train a chatbot to simulate common conversation exchanges from messaging threads associated with previous digital advertisements that are similar to a received digital advertisement. By training the chatbot to simulate such conversations, the disclosed systems and methods create a chatbot that can immediately respond to a user's inquiries concerning the received digital advertisement and tailor automated exchanges that further the objectives of an advertiser or merchant associated with the received digital advertisement.