AI Chatbot Review Generation for Faster Customer Feedback
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Solution Overview
Problem
Existing solutions for generating online customer reviews are time-consuming, require manual creative writing, and lack AI assistance, leading to fewer and lower-quality reviews, impacting business reputation and customer trust.
Innovation Solution
A computer-implemented method using a conversational AI chatbot with proprietary algorithms and fine-tuned large language models to generate personalized, high-quality reviews through structured prompts and natural language processing, allowing users to revise and publish reviews efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If customers manually write reviews in empty text boxes, then reviews reflect genuine customer thoughts, but the process is time-consuming and intimidating for non-creative users
Solution Approach 1:
The AI chatbot performs the review writing task autonomously by processing customer feedback data and generating review content automatically, eliminating the need for customers to manually compose reviews while maintaining genuine customer perspectives
Solution Approach 2:
The AI chatbot serves as an intermediary between customer feedback and published reviews, translating raw customer inputs into polished review content while preserving the authentic voice and perspective of the customer
2Extent of automation
If existing review management software uses static input fields, then the system structure is simple, but it fails to provide AI-driven assistance for generating natural, personalized reviews
Solution Approach 1:
The patent replaces manual mechanical writing processes with AI-based automated generation, using large language models and natural language processing to create personalized reviews without requiring complex manual input from users
Solution Approach 2:
The system performs preliminary processing of customer feedback data, extracting key information and sentiments before generating the final review, which simplifies the overall user interaction while maintaining high automation levels
3Productivity
If customers are forced to think creatively and write from scratch, then reviews are original and authentic, but fewer customers complete the review process
Solution Approach 1:
The AI chatbot continuously processes customer feedback inputs and adjusts the generated review content in real-time, ensuring both high completion rates by guiding users through the process and maintaining review quality by preserving authentic customer voices
Solution Approach 2:
The system dynamically adjusts the complexity and style parameters of review generation based on customer feedback data, adapting the output to match the customer's original tone and perspective while maintaining professional quality
Data Source
AI summary
A computer-implemented method of generating an AI-based suggested online customer review that includes electronically communicating a sentiment request from the server to a first of the plurality of the electronic devices over a network and in a connectivity session and causing an interface to load thereon displaying an interactive display configured to receive a digital sentiment input therefrom, inserting the digital sentiment input into the interactive display and communicating the digital sentiment input to the server, processing the digital sentiment input and electronically communicating, subject to ascertaining a programmed sentiment threshold, a programmed digital chatbot to the first of the plurality of the electronic devices in the connectivity session, querying the user with the chatbot to receive business review input through therethrough and then generating a textual suggested online customer review with artificial intelligence (AI) utilizing the business review input for integrating into a publicly available online platform.