Building an OpenAI Product Data Generator Assistant: A Data Science Project
🧠 Don’t miss out! Get FREE access to my Skool community — packed with resources, tools, and support to help you with Data, Machine Learning, and AI Automations! 📈 https://www.skool.com/data-and-ai-aut...
In this hands-on project, we build a Product Data Generator Assistant using OpenAI’s GPT API. Perfect for eCommerce, data science portfolios, or anyone needing fast, clean, AI-generated product descriptions, categories, tags, and more!
🚀 Hire me for Data Work: https://ryanandmattdatascience.com/da...
👨💻 Mentorships: https://ryanandmattdatascience.com/me...
📧 Email: [email protected]
🌐 Website & Blog: https://ryanandmattdatascience.com/
🖥️ Discord: / discord
📚 *Practice SQL & Python Interview Questions: https://stratascratch.com/?via=ryan
📖 *SQL and Python Courses: https://datacamp.pxf.io/XYD7Qg
🍿 WATCH NEXT
OpenAI/Langchain Playlist: • How to Build Your First AI LLM Prompts wit...
React Prompting: • ReAct Prompting in Langchain: Python Tutor...
OpenAI Fine Tuning: • How to Fine-Tune OpenAI GPT-4o For FREE
Langchain System Humen AI: • Mastering Langchain System, Human, and AI ...
In this comprehensive tutorial, I walk you through building a powerful product data generator agent specifically designed for e-commerce and retail applications. This agent automatically generates product titles, descriptions, and attributes based on existing product data, dramatically reducing the manual work required for catalog management.
I start by covering essential prompt engineering basics, including the three key components: instructions, goal state output definition, and data/context. You'll learn why iterations and temperature settings are crucial for getting quality results, especially when generating creative marketing content versus structured data.
The video demonstrates the complete build process using OpenAI's assistant API, including how to structure your product database, implement vector search for retrieving similar products, and craft effective system prompts that capture your brand's unique voice and style. I show real examples using a fashion retailer's actual product catalog, testing the agent on both familiar product categories (Hawaiian shirts) and completely new collections (Christmas items) to evaluate its performance.
Throughout the tutorial, I share multiple prompt iterations, showing how small changes dramatically impact output quality. You'll see practical techniques for increasing creativity through temperature adjustments and specific prompt language like using "spicy" descriptions to invoke more dynamic results.
Finally, I cover essential evaluation methods using t-SNE visualization and semantic similarity scoring to quantify how well your generated products match your brand standards. All code, data, and the working assistant are available in the GitHub repository linked below, so you can immediately start building your own product data generator.
Create a Clickup account! 👇👇
https://clickup.com/lp/agency-softwar...
TIMESTAMPS
00:00 Introduction to Product Data Generator Agent
01:42 Prompt Basics: Instructions, Goals & Data
04:09 Importance of Iterations in Prompt Building
05:42 Understanding Context in Prompts
09:53 Project Setup & Data Requirements
14:00 Temperature Settings for Creativity
17:40 First Product Generation Attempts
22:40 Testing Higher Temperature Variations
27:00 Generating Products from Images
32:13 Creating Christmas Collection Products
40:57 Optimizing for Creative Titles
47:28 Prompt Refinement for Better Results
54:00 Data Analysis with t-SNE Visualization
59:20 Semantic Similarity Evaluation
1:03:17 Code Walkthrough & Conclusion
OTHER SOCIALS:
Ryan’s LinkedIn: / ryan-p-nolan
Matt’s LinkedIn: / matt-payne-ceo
Twitter/X: https://x.com/RyanMattDS
Who is Ryan
Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.
Who is Matt
Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One.
*This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.