The traditional no-inventory model is severely oversaturated. Blindly listing products and lacking data-based judgment often lead to a dilemma of orders without profit, high compliance risk, and difficulty scaling up. Many merchants remain stuck at the stage of simply copying and listing products, do not understand niche selection, choose products purely by gut feeling, and do not use tools for data calculation; after a store reaches a certain scale, they face weak traffic growth and the absence of standardized processes, making it impossible to replicate and scale, and very difficult to upgrade from a listing model to a vertical profitable store.

The Taobao No-Inventory Closed-Loop Coaching 4-Month Course is divided into two major sections: basic hands-on practice and AI branding advanced progression, with a full set of directly reusable Excel tool spreadsheets. The course starts from store setup and gradually completes niche assessment, blue-ocean keyword selection, product selection and testing, product listing, order fulfillment, and paid traffic scaling; the advanced stage introduces a complete AI work system to complete audience and competitor analysis, intelligent product testing and elimination, traffic matrix harvesting, risk control diagnosis, and branding reshaping, ultimately building a replicable profit model and achieving the expansion from single-store profitability to multi-matrix large-scale growth.

The entire course lasts four months, focuses on practical implementation, and delivers spreadsheet templates directly, helping you open up the full-chain operational closed loop of no-inventory business, break away from inefficient copying, and drive continuous store growth with data and AI. After completing it, you can establish standardized operational processes and lay a solid foundation for multi-store matrices and branding upgrades.

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• 1.Store setup and basic settings
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• 2.Market selection (especially important)
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• 3.Product selection
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• 4.Product listing
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• 5.Order shipping
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• 6.Paid scaling
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• 1.Q&A Knowledge Batch Addition Template V5.xlsx
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• 2.Spreadsheet Statistics.xls
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• 1.The New 2026 No-Inventory Ecosystem and Underlying Profit Logic Driven by AI
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• 2.AI Big Data Keyword Selection System: Build Your Blue-Ocean Entry Engine
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• 3.Know Yourself and Your Enemy: Niche Audience Demand and Competitor Profile Analysis
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• 4.AI Win-Rate Product Selection Mechanism: Automatically Screen Key Products for Store Launch
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• 5.Automated High-Conversion Listing System: Build a Distributable Traffic Structure
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• 6.AI Product Testing Decision Model: Data Feedback and Intelligent Elimination Mechanism
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• 7.AI Traffic Scaling Matrix: Multi-Channel Automated Harvesting System
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• 8.Growth Control System 2.0: Intelligent Diagnosis x Automated Risk Control Engine
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• 9.AI Brand Reshaping System: From Dropshipping to a Vertical Profit Structure
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• 10.Automated Scale Replication System: Organizational Structure and Multi-Model Matrix
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• 11.AI Closed-Loop Review System: Building a Sustainably Replicable Profit Model
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• 1.Market Selection.xls
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• 2.Track Audience Demand and Competitor Profile Analysis.xls
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• 3.Product Selection Estimation Table.xls
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• 4.Cross-Category Product Selection Table.xls
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• 5.Audience Analysis.xls
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• 6.Prompts.xls
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• 7.Listing Links.xls
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• 8.Title Builder.xls
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• 9.Xiaohongshu Product Testing Table.xls
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• 10.On-Platform Paid Product Testing Table.xls
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• 11.Plan Setup.xls
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• 12.Plan Statistics Table.xls
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• 13.Taobao High-Risk Manual Quick Reply Library.xlsx
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• 14.Financial Statistics.xls
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• 15.Product A.xls
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• 16.Product B.xls
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• 17.Product C.xls
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• 18.Qianniu QA Backend_Bulk Import_2000 General Scripts_Directly Importable.xlsx
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• 19.Employees.xls
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• 20.Reviews.xls
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• 21.Product Unification.xls
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• 22.Branding Scenario Recommendations.xls
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.