Ai Navigator Master Course 2026 Sept 12-13 Shenzhen offline class, the most cutting-edge AI e-commerce operation methods, build an AI Native e-commerce business, let every employee have the strongest

Build an AI Native e-commerce business, September's latest resources

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

AI automated operation, driving the entire business chain

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

The most cutting-edge AI e-commerce operation methods, evolve into an AI Native business model, let every employee have the strongest business brain

What you will gain in two days

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 needs 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.

Course modules

◆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,

let AI first understand your real situation

*Compare modes such as bulk listing, boutique, POD, supply chain, brand, accessories,

understand what each relies on to make money, and where the inventory pressure and risks lie;

*Take stock of products, supply chain, traffic, capital, experience and team,

find the advantage most worth amplifying with AI first.

*Clearly see which hot products suit you, and which trends you can stop chasing

*Stage deliverable: find the e-commerce playbook and model that suits you

Module 2: AI product selection hands-on:

From 3 million real needs, 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 3 million real Amazon search terms, first filter out directions related to your

business

*Avoid AI hallucinations, supplement category, price, sales volume, competitors and reviews

data, judge whether there is real purchasing behind the search

*Use Socratic questioning to drill down all the way, from category opportunities to specific user

groups, usage scenarios and products

*Real product development review: over 90% product development success rate in two years, from discovering the line

Sourced and shipped via FBA in only 4 days

*Phase deliverable: screen out 3 product opportunities that match you, and complete

one opportunity deep-dive card

Module 3 Agents hands-on:

Build your AI business workbench

After finding an opportunity, around the opportunity card, use an AI Native mindset

to reconstruct your business model

*Understand the five levels of AI in e-commerce: tools, business restructuring, driving

the business, organizational self-evolution, organizational second brain

*Break down Guomin's journey from his first "listen to users" Agent, and see how it grew

into a legion of over 170 Agents

*Beyond writing prompts, practice writing a job

description for your first Agent

*Understand what Agents are needed for product selection, product development, images, Listing, advertising, customer service and

review, respectively

*Around the previously selected opportunity, have a key Agent start working on the spot

*Phase deliverable: based on your business model and products, build the first version of

the AI Agents workbench

Module 4 Group Hackathon Practice

Solve real problems with your work

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

*The group focuses on a specific user, a real need, and an e-commerce prob-

lem to determine the Agent approach

*Apply the business models, market data, opportunity judgment and Agent

methods learned earlier into the work

*Guomin Sam gives on-site comments, the audience votes, and the winning work is finally selected

*Phase deliverable: each group completes an Agent hackathon work; outstanding

works enter the on-site roadshow

Who is it for

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

Specific deliverables

1, one full-recording electronic set

2, full PPT

Course Catalog

Hackathon corresponding video videos

Practical A Plain English Version | Get It Running First, Then Run It All.docx

Navigator Day 1 Afternoon 2

Navigator Day 1 Afternoon 1

Navigator Day 1 Morning 1

Navigator Day 2 Afternoon 2

Navigator Day 2 Afternoon 1

Navigator Day 2 Morning 2

Navigator Day 2 Morning 1

Navigator September Shenzhen Session Core PPT.pdf

Navigator September Shenzhen Session Core PPT (Reformatted).pptx

AI Navigator Course Complete Verbatim Transcript.docx

Pre-class Preview Manual AI Navigator Shenzhen Main Course.docx

Course Open Source Repos (three, MIT free, needed in class).txt

Hackathon Agent Case Collection.docx

National Teacher Live Hands-on Record - 0912.docx

Keyword Workbench.xlsx

my_terms Four-Week Comparison Table.xlsx