AI Native E-commerce Operations Practical Tutorial

AI Navigator Grand Course 2026, September 12-13 Shenzhen offline course, focusing on the most cutting-edge AI e-commerce operations methods, building AI Native e-commerce business, and giving every employee the strongest business brain.

What does AI Native e-commerce look like? AI understands your business and your users, clearly grasping the model/advantages/capital/supply chain.

AI automated operation drives the entire business chain.

24h monitoring and analysis of external data, accumulating internal decision-making value to achieve business organization self-evolution and guide the team's daily judgment.

The most cutting-edge AI e-commerce operations methods, evolving into an AI Native business model, giving every employee the strongest business brain.

This course is built around the AI Native e-commerce business model, from business model judgment, AI product selection, and Agents workbench setup to team hackathon practical combat, helping students truly embed AI into the e-commerce operation chain. The course emphasizes first clarifying product, supply chain, traffic, capital, and team advantages, then using real Amazon search terms and competitor data to validate demand, and finally building an executable Agent workbench around opportunity cards. Suitable for e-commerce practitioners who hope to use AI to improve product selection efficiency, business analysis, and team collaboration capabilities. After learning, you will obtain a practical framework from opportunity identification to Agent implementation, and understand how AI drives the entire business chain and accumulates internal decision-making value.

Find the e-commerce money-making model that suits you

Look at products, supply chain, traffic, capital and team, clarify what this business relies on to win, and which advantage AI should amplify first.

• Establish a method from user demand to product selection judgment

Use Amazon search terms, reviews, competitors, price and sales volume to judge which needs are worth continuing to turn into products.

Build the company's Agents business workbench

Organize products, users, data and the boss's operating rules, build Agents and verify this method on site.

◆2-day course schedule◆

Module 1: In the AI era, infinitely amplify your advantages

Don't rush to find products - first figure out which business you should do

• Complete the "personality x resources x advantages" assessment before class, so AI first understands your real situation
• Compare models such as bulk distribution, boutique, POD, supply chain, brand, and accessories to understand what each relies on to make money and where inventory pressure and risks lie;
• Take stock of products, supply chain, traffic, capital, experience, and team, and find the advantages most worth amplifying with AI first.
• See clearly which hot products suit you and which trends you can stop chasing
• Stage deliverable: Identify the e-commerce playbook and model that fit you

Module 2 AI product selection in practice: From 3 million real demands, filter out the opportunity that belongs to you

Once the model is set, AI knows which part of the data to read for you

• In class, call up 3 million real Amazon search terms and first filter out the directions related to your business
• Avoid AI hallucinations, fill in category, price, sales, competitor, and review data, and judge whether there is real purchasing behind the search
• Use Socratic questioning to drill down all the way, from category opportunities to specific audiences, use scenarios, and products
• Real product development review: Over 90% product development success rate in two years, from spotting the lead to shipping to FBA in only 4 days
• Stage deliverable: Filter out 3 product opportunities that match you and complete one deep-dive opportunity card

Module 3 Agents hands-on: Build your AI business workbench

After finding an opportunity, around the opportunity card, use an AI Native approach to restructure your business model once

• Understand the five levels of AI in e-commerce: tools, business restructuring, business driving, organizational self-evolution, organizational second brain
• Break down how Guomin grew from his first 'listen to user voice' Agent into a legion of more than 170 Agents
• Do not just write prompts; practice writing a job description for your first Agent
• Understand what Agents are needed respectively for product selection, product development, images, Listing, advertising, customer service, and review
• Around the opportunity selected earlier, let a key Agent start working on site
• Stage deliverable: Based on your business model and product, build the first version of your AI Agents workbench

Module 4 Group hackathon practice: Use works to solve real problems

Pick a real e-commerce problem and apply the methods learned earlier

• Groups determine the Agent approach around one specific user, one real demand, and one e-commerce problem
• Apply the business models, market data, opportunity judgment, and Agent methods learned earlier to the work
• Guomin Sam gives on-site comments, the audience participates in voting, and the winning works are finally selected
• Stage deliverable: Each group completes one Agent hackathon work, and outstanding works enter the on-site roadshow

• Looking for new opportunities, what to make as the next product?
• Have resources in hand but haven't figured out how to enter the market
• Used Codex or built Agents, but business results haven't changed
• Cross-border practitioners such as Amazon, TikTok Shop or independent sites
• E-commerce practitioners such as Taobao, Douyin or Xiaohongshu
• Want to transform the business with AI but don't know where to start
• Accumulate the company's core methodology and empower the team to use it

1, one full-recording electronic set

2, full PPT

• 1.Pre-class Preview Manual AI Navigator Shenzhen Main Course.docx
• 2.Course Open Source Repos (three, MIT free, needed in class).txt
• 3.Keyword Workbench.xlsx
• 4.my_terms Four-Week Comparison Table.xlsx
• 5.Practical A Plain English Version | Get It Running First, Then Run It All.docx

• 6.Navigator Day 1 Morning 1
• 7.Navigator Day 1 Afternoon 1
• 8.Navigator Day 1 Afternoon 2
• 9.Teacher Guomin on-site hands-on record.docx

• 10.Navigator Day 2 Morning 1
• 11.Navigator Day 2 Morning 2
• 12.Navigator Day 2 Afternoon 1
• 13.Navigator Day 2 Afternoon 2

• 14.Navigator Shenzhen session core PPT.pdf
• 15.Navigator Shenzhen session core PPT (reformatted).pptx
• 16.AI Navigator Course Complete Verbatim Transcript.docx

• 17.Hackathon corresponding video videos
• 18.Hackathon Agent Case Collection.docx