Extern - Wayfair's AI Automation

I built an AI Automation that would be able to spy on Wayfair's products here is how I built the four automations.

I used the n8n local environment with Dockers to be able to run the local environment. Read more here on how to setup the n8n locally with Dockers.

Project 1 MoodBoard Generator - with n8n and different LLM models to generate the images. Understand how to be very descriptive in the prompts when prompting the LLM.

Project 2 Building the Consumer Trend Discovery AI Agent - Spot product trends before they go mainstream. Build an AI system that scans real world data sources such as Amazon and design blogs to identify what's rising in popularity and why. Build the foundation of a Consumer Trend Discovery AI Agent that helps Wayfair detec emerging design and product trends faster than traditional research teams, the kind of insight that drives smarter merchandising and faster product decisions.

Project 3 - Market Trend Discovery Agent Demo and HTML Reports:
https://www.loom.com/share/9f1010b088364d14b242afd497194d42

Project 4 - Content Strategy Generator v4 (Premium+) - Kyle Parsotan Demo:
https://www.loom.com/share/2768243fd9ea47d1bd086278f7b071e9

Built multiple AI Agents using n8n, enabling automated workflows for trend detection, competitor tracking, and marketing content generation.

Conducted in-depth trend analysis across the home good sector, identifying patterns in consumer demand, style preferences, and design narratives; tracked competitor pricing, launches, and campaigns to extract structured insights.

Consolidated agent outputs into a live updating google sheets dashboard, integrating trend signals, competitive benchmarks and AI generated insights to support category decision-making.

Github repo:

Kyl67899 / Wayfair-n8n-AI-Agent-Engineering-Externship

Extern - Wayfair AI Automation built with n8n and AI agent to help with the program manager with their data

Wayfair Internship - AI Automation Engineer - Extern Core Projects

Project 1: Creating a Moodboard Agent that connects design ideas to visuals

• Level: Easy
• Tech stack: n8n and AI or LLM
• Description:

Project 2: Discovering Market Demand and Trends Across Products, Blogs, and Social Media

• Level: Medium
• Tech stack: n8n and AI or LLM
• Description:
  • Google Docs: https://docs.google.com/document/d/1y27bot3OTBOwsa_7k50HRN5ef1Y82OS9eWZPa7-gMpQ/edit?usp=sharing
  • Loom Video: https://www.loom.com/share/9f1010b088364d14b242afd497194d42

Project 3: Benchmarking Competitors to find Whitespace Opportunities

• Level: Medium
• Tech stack: n8n and AI or LLM
• Description:
  • Google Docs: https://docs.google.com/document/d/1LtzChW81r2xWH9tWFZ4Ga_iLp1SmyqZH0JjKV1QTalQ/edit?usp=sharing
  • Loom video: Coming Soon

Project 4: Generating AI-driven Insights and Marketing Content Ideas

• Level: Medium
• Tech stack: n8n and AI or LLM
• Description:
  • Google Docs: https://docs.google.com/document/d/11fzEWNcZdMXvBP4yIzxC_ENR-cW8j44dPhRK0XNKLzY/edit?usp=sharing
  • Loom Videos: https://www.loom.com/share/2768243fd9ea47d1bd086278f7b071e9

Project 5: Building a Live Market Intelligence Dashboard that brings it all together

• Level: Hard
• Tech stack: n8n and AI or LLM
• Description:
  • Google Docs: https://docs.google.com/presentation/d/1eYAZR2zJOTK9uAstB5KzBLGt4u_0llFnTnfoLFC1vVE/edit?usp=sharing
  • Loom Video:

Summary Built multiple AI Agents using n8n, enabling automated workflows for…

View on GitHub