Effortless Reviews: AI-Powered Writing for Any Platform
Short explanation
Responding to customer reviews—especially negative ones—is one of the most dreaded tasks for customer service teams.
With AI, this challenge becomes a thing of the past. In this short case study, I’ll show you how we leveraged AI to generate reviews effortlessly across platforms like Google Reviews and Booking.
In short, our process involves three key steps:
Creating an AI Agent with Access to Customer Service Materials added to the Company's Knowledge Base
We develop an AI agent with a predefined response style to ensure consistency with our established standards. It has access to all relevant customer service materials, including FAQs, response templates, problem-solving guides, product specifications, return policies, and more.
Integrating the AI Agent with the Chosen Communication Platform
The AI agent is seamlessly integrated with the client’s preferred platform, such as Google Reviews, Booking, Airbnb or any other customer communication channel.
Real-Time Analysis and Response Generation
Once connected, the AI agent analyzes the review and determines its sentiment. Using this insight along with data from a knowledge base containing customer service material, it generates a precise, context-aware response..
The video below shows an example of such integration with Google Reviews
In the example below, we see how our AI agent creates the first draft of a response to a review. Then, the human gives it a command to adjust the response accordingly, and finally obtains the content in the desired form.
Detailed explanation
In today’s fast-paced digital landscape, customer service departments face increasing pressure to deliver quick, accurate, and personalized responses to customer inquiries across a variety of platforms.
To address this challenge, we have developed an innovative AI-powered system designed to automate and streamline customer service operations.
This system seamlessly integrates with any communication platform—whether it’s e-commerce platforms like Amazon, eBay, Shopify, traditional email, or any other channel used for customer communication.
It can also be used to respond to reviews like on Google Reviews, Booking, Airbnb or any other platform.
By combining the power of artificial intelligence with a structured knowledge base, this solution revolutionizes the way businesses interact with their customers.
For our clients, we automate customer service in the following way:
Building a Corporate Knowledge Base
We create a centralized, internal "Wikipedia" for the company, serving as a comprehensive repository of information.
Dedicated Customer Service Section
Within this knowledge base, we establish a specialized section for the customer service department.
Populating the Knowledge Base
This section is enriched with all relevant materials, including:
- Frequently asked questions (FAQs)
- Templates for standard responses
- Descriptions of common problem scenarios and their solutions
- Product specifications
- Return policies
- Any other relevant customer support documentation
AI Agent Development
We create an AI agent that is directly connected to the customer service materials in the knowledge base. This ensures that every response generated by the AI is consistent with the company’s guidelines and policies.
We also specify the desired response style so that the AI always responds in line with our standards
Example of standardized customer service office responses that serve as a data source for an AI agent.
An example of product specifications that also serve as data sources for an AI agent
Platform Integration
The AI agent is integrated with the client’s chosen platform, such as Amazon, eBay, Shopify, traditional email, Google Reviews, Booking, Airbnb or any other customer communication channel.
Real-Time Analysis and Response Generation
Once connected, the AI agent analyzes incoming messages or the entire conversation history with a customer. Based on this analysis and the information from the knowledge base, it generates a precise and context-aware response.
Human Oversight
Finally, a human agent reviews the AI-generated response, either approving it directly or making adjustments as needed before it is sent to the customer.
This approach not only reduces the workload of customer service teams but also improves response times by 80-90%. Additionally, the AI agent consistently delivers highly accurate and effective solutions, outperforming human agents in many cases and significantly boosting customer satisfaction.
How to implement it
Contact Michal Szymanski from EO Poland and he will guide you through the CogniVis AI implementation process.
Contact
Michal Szymanski
Co Founder at MDBootstrap , CogniVis AI and AIFor.Biz / Listed in Forbes „30 under 30" / EOer / Open-source and AI enthusiast / Dancer, nerd & bookworm.
Author of hundreds of articles on AI, programming, UI/UX design, business, marketing and productivity. In the past, an educator working with troubled youth in orphanages and correctional facilities.