Xiaohongshu AI physical e-commerce matrix practical tutorial

Course Introduction

This is the Xiaohongshu AI physical e-commerce matrix 6.0 full-system practical course, with a full set of 55 practical lessons, focused on asset-light no-source operations, AI full-process efficiency improvement, and multi-store multi-account matrix scaling.

The course starts from the track trend and store onboarding, teaching step by step how to open personal stores/individual stores and the 6 basic configurations for new stores; it includes 7 major product selection channels + AI product expansion ideas, covering 1688 refined product selection, benchmarking against peers, cross-platform product selection, opportunity center, and Huitun data tool product selection, as well as the hit product approach of listing first and testing later, while also providing 12 beginner risk-avoidance categories and semi-vertical store layout plans.

The listing section teaches manual listing + plugin batch product transfer, one-click price changes, and coupon setup to improve conversion; the content section is the core of the whole course: the three elements of hit covers, finding buyer shows across platforms, real-shot materials, AI graft-and-replicate hit covers, completing AI original images in four steps, and removing watermarks to avoid violations.

The traffic generation module focuses on matrix building: 1 store bound to 3 Xiaohongshu accounts, BitBrowser IP isolation, independent environment configuration, and AI software batch automatic note publishing, achieving multi-account automated seeding.

Operations advancement breaks down the entire playbook: the full process of product testing stores, traffic interception tactics for aggressive scaling stores, and scale expansion with store matrix + account matrix; tiered price increases to break sales levels, manual sales and review creation, solving the two major problems of notes having no traffic and stores having low conversion.

Finally, the closed loop of supply chain and after-sales: unified 1688 one-piece drop-shipping sources, manual + software automatic shipping, automatic returns and exchanges + AI intelligent customer service automatic replies, forming a complete closed loop from store opening, product selection, listing, AI image-text traffic generation, matrix store scaling, to shipping and after-sales, which can be directly replicated and scaled.

The course progresses through seven stages: project awareness, product selection, listing, image-text materials, matrix traffic generation, store scaling operations, and after-sales automation, suitable for building along with the process while watching. When learning, it is recommended to first use a single store and a small number of products to complete listing, AI image creation, and note publishing, then gradually increase the number of accounts and stores; during the product selection stage, combine listing first and testing later, record the data performance of each type of material and note, and promptly eliminate inefficient links. When involving multi-account operations, pay attention to devices, network environment, and platform rules, control the pace, and avoid concentrated batch operations that bring risks. For the shipping and after-sales part, first familiarize yourself with the process manually, then introduce software and AI customer service, so as to troubleshoot abnormal orders in time.

Suitable For

• Zero-foundation beginners who want to do Xiaohongshu no-source physical e-commerce and start a low-cost light business
• E-commerce sellers who struggle to scale a single store and want to amplify returns through multi-account and multi-store matrices
• Operators who cannot create original image-text content, whose materials are severely homogenized, and whose note traffic cannot take off
• Side-hustle players who want to use AI tools to reduce labor costs and achieve semi-automated and automated operations
• Cross-platform merchants who have run Douyin stores and Pinduoduo and want to expand to new Xiaohongshu traffic channels
• Practical players who want to master both product testing + aggressive scaling playbooks, quickly identify hit products, and achieve stable profitability

Student learning outcomes

• Understand the Xiaohongshu e-commerce trend, independently open a personal store/individual store, and complete the 6 basic configurations for a new store
• Master 7 major product selection channels + AI product expansion methods, avoid 12 high-risk categories, do a good job in semi-vertical store layout, and use the list-first-then-test approach to efficiently uncover hit products
• Learn to use plugins for batch product transfer, one-click price changes, and setting coupons to greatly improve listing efficiency
• Master the full set of AI image-text techniques: replicate hit covers, take real-shot materials, generate original images with AI in four steps, and remove watermarks to thoroughly solve the material violation problem
• Build an account matrix: browser isolation environments, independent IP configuration, and AI software for batch note publishing to achieve automated traffic generation across multiple accounts
• Fully understand two store-launch models: product-testing stores for testing products and aggressive stores for traffic interception, learn stepwise price increases to drive volume, and manually optimize sales and reviews
• Handle traffic and conversion: accurately solve the problems of low note traffic and poor store conversion rates
• Connect the supply chain and after-sales: 1688 dropshipping, automatic shipping, automatic returns and exchanges, and AI customer service auto-replies to achieve full-process automated operations
• Build a dual matrix system of stores + accounts and replicate the single-store model into a multi-store batch profit project

• 1.Hardcore Showcase 6.0 Technical Demonstration
• 2.The Trend Opportunity of Xiaohongshu E-commerce
• 3.The Development History of Xiaohongshu E-commerce
• 4.Demonstration of Opening Personal Stores and Individual Stores
• 5.6 Must-Do Configurations After a New Store Is Opened

• 6.The 3 Core Characteristics of High-Quality Hit Products
• 7.Use AI to Expand Product Selection Directions
• 8.Refined Product Selection on 1688
• 9.Benchmark Product Selection Against Xiaohongshu Peer Stores
• 10.Cross-Platform Product Selection on Taobao, Pinduoduo, and Douyin
• 11.Product Selection via Business Opportunity Center (the Most Reliable)
• 12.Product Selection via Huitun Data (as an Auxiliary Tool)
• 13.List First, Then Test to Find Good Products (the Best)
• 14.12 Categories Beginners Should Avoid and Enter with Caution
• 15.Semi-Vertical Category Layout for 1 Store

• 16.Manual Listing to Grasp Every Detail
• 17.Plugin Batch Extraction of Product Links
• 18.Software Batch Transfer of Products to Xiaohongshu Stores
• 19.Software Batch Modification of Product Pricing
• 20.Set Coupons to Improve Conversion Rates

• 21.3 Elements and 3 Methods of Xiaohongshu Covers
• 22.Find Buyer Shows of the Same Product Across Platforms
• 23.Shoot a Large Number of Original Material Images Yourself
• 24.AI Imitates Hit Covers by Adapting and Recombining
• 25.AI Originality Step 1: Download and Extract
• 26.AI Originality Step 2: AI Originality Operation
• 27.AI Originality Step 3: Software Removal of Bright and Dark Watermarks
• 28.AI originality step 4: put back in place for adjustment

• 29.1 store bound to 3 Xiaohongshu matrix accounts
• 30.Bit Browser download, installation, configuration
• 31.IP address location, selection, purchase
• 32.Full set of Bit Browser IP isolation operations
• 33.Percentage Browser shortcut creation
• 34.Installation of AI note posting plugin
• 35.Settings of AI note posting software
• 36.Task assignment in AI note posting software
• 37.Posting notes from store main account and associated accounts
• 38.4 points to change in software settings

• 39.3-step strategy for Xiaohongshu e-commerce
• 40.Note level: manual operation to V4
• 41.Test store: all operation steps
• 42.Expanded product selection: from 1 good product to 1 group
• 43.Push store: all operation steps
• 44.Matrix amplification: store matrix and account matrix
• 45.Tiered price increase to break volume: normal sales launch
• 46.Manual work: product sales and reviews
• 47.Solutions for low note traffic
• 48.Solutions for low store conversion

• 49.Shipping supply must come from 1688
• 50.Master the details of manual shipping operations
• 51.Demonstration of software automatic shipping steps
• 52.Set different return and exchange addresses
• 53.Software automatic return and exchange operations
• 54.Combined with AI customer service auto-reply
• 55.Summary: keep doing + select more products + post more notes

💡 Learning Tip:The course content is based on industry practices at the time of publication. It is recommended to combine your study with the latest platform rules.