Recommending Skincare Products
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Practice prompting a skincare recommendation chatbot, judge its product suggestions, and test how it handles customer requests before it rolls out.
Matching a customer with a suitable skincare product among many similar options is the task at the center of this course. You work with BeautyHelper, a customer service chatbot that uses generative AI to suggest products for a consumer goods company. You write prompts to see how well it grasps a customer’s needs and how closely its suggestions fit, and you push it with harder requests to see how it holds up before it reaches real shoppers.
What You Will Achieve
- Write prompts that tell a recommendation chatbot clearly what a customer needs
- Judge whether a chatbot’s skincare suggestions fit the customer’s stated requirements
- Rework a prompt so the chatbot’s product suggestions match the request more closely
- Check how a customer service chatbot copes when requests push its limits
Program Overview
Getting to Know the Skincare Chatbot
You meet BeautyHelper, learn what it is meant to do, and ask it for product suggestions based on a customer’s needs.
- Introducing BeautyHelper
- Prompting for product recommendations
Testing and Rolling Out the Chatbot
You put the chatbot under pressure with tougher prompts, then close with its rollout to customers.
- Stress testing the chatbot’s responses
- Preparing BeautyHelper for rollout
Certificate Awarded (Paid)
Job Outlook
Prompting and evaluating chatbot recommendations is useful in customer service and product support work, and anywhere conversational AI is used to find information or suggest products.
Good for: Learners who want a quick, guided session prompting a customer service chatbot and judging the product advice it gives.
Keep in mind: You work with a chatbot that already exists and do not build one; the four exercises center on prompting it and weighing its answers.
Bottom line: A compact prompting exercise built around one task: steering a skincare chatbot toward the product a customer actually needs.
Frequently Asked Questions
What is BeautyHelper?
BeautyHelper is the customer service chatbot at the heart of the course. It uses generative AI to suggest skincare products to a consumer goods company's customers, and every exercise has you prompting it and assessing its replies.
Will I build my own chatbot?
No. The chatbot is already built, and your work is on the user side: writing prompts that describe customer needs, checking the recommendations that come back, and testing how it behaves before rollout.
Does the prompting practice carry over to other chatbots?
Yes. The scenario is skincare, but the habits it trains, such as stating a request clearly and checking an AI answer against what was asked, apply wherever you use a conversational AI tool to find information or recommendations.
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