2-Hour Virtual Seminar on Using Custom GPT and Automation Code for Managing Customer Reviews and Feedback
Duration: 2 Hours
37 Days Left To REGISTER
Id: 209920
Manish Gupta
Overview
This course will teach participants how to use Custom GPT models combined with automation code to manage customer reviews and feedback at scale. You'll begin with an introduction to GPT and its applications for understanding and processing natural language feedback. The session will then cover how to train a custom GPT model to classify reviews, analyze sentiments, and generate smart responses.
Next, participants will explore automation tools like Zapier, Make.com, or Integromat to automate the process of collecting, categorizing, and responding to reviews across different platforms. By the end of the course, you'll have hands-on experience in building a seamless feedback management system that allows for real-time monitoring and response, improving customer experience and operational efficiency.
Why you should Attend
In today's customer-centric world, keeping track of and responding to customer reviews is key to maintaining brand reputation and fostering customer loyalty. However, manually processing reviews can be time-consuming and prone to errors. AI tools like Custom GPT models and automation code provide an innovative solution to this problem by automatically analyzing customer feedback, generating summaries, and even drafting responses tailored to individual reviews.
By attending this course, you'll learn how to leverage Custom GPT models for natural language processing (NLP) tasks such as review categorization, sentiment analysis, and auto-response generation. You'll also discover how to integrate automation tools like Zapier or Make.com to streamline review management across multiple platforms, from e-commerce sites to social media. This course is ideal for businesses looking to enhance their customer service, monitor feedback trends, and implement AI-driven solutions for managing reviews.
Areas Covered in the Session
- Overview of Custom GPT for customer feedback analysis
- Training a custom GPT model for review classification and sentiment analysis
- Generating personalized responses using AI
- Using automation platforms (Zapier, Make.com) to integrate feedback management across platforms
- Automating workflows for collecting and categorizing reviews
- Best practices for managing customer feedback with AI and automation
- Hands-on exercises: Building a review management system from scratch
Who Will Benefit
- Customer Experience Managers
- E-commerce Managers
- Product Managers
- Customer Support Teams
- Marketing Professionals
- Business Owners looking to streamline feedback processes
Speaker Profile
As a Visiting Lecturer at Geneva Business School, Manish excels in teaching MBA subjects, skillfully bridging the gap between academic theories and their practical applications in business and finance. His expertise in Financial Management, Accounting, and Corporate Finance is particularly noteworthy.
At eHotel Management School, where he is the Founder and Lead Instructor, Manish imparts wisdom in Digital Marketing and Hotel Management. His unique approach combines his extensive industry experience with his educational background, offering students practical insights into the hospitality sector.
Manish's teaching philosophy centers around making complex subjects accessible and engaging. His dedication to student success is evident in the way he tailors his courses, ensuring they are relevant, insightful, and inspiring for aspiring professionals.
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One Attendee / Group Attendees
Unlimited Viewing Recorded Version for 6 months ( Access information will be emailed 24 hours after the completion of live webinar)