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Taobao audience asset module collaborative linkage AI closed-loop system practical tutorial

📚Video Course
📂Artificial Intelligence (AI)
🕒Last updated: 11/07/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers
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Description

Course Introduction

This course is the Guangzhou offline class for the Taobao audience asset module collaborative linkage AI closed-loop system, held from April 17 to 19, 2026. The course is externally introduced as a Taobao course worth e-commerce bosses' attention in 2026, emphasizing Guijiaoqi quality and the Taobao ceiling positioning, and is suitable for reference by Taobao merchants who want to systematically understand audience asset collaboration and AI closed-loop implementation.

Deliverables include recordings with subtitles, complete documents, and on-site photos, updated on November 7 to the complete three-day version. Course materials include on-site photos, the supporting PDF for the audience asset module collaborative linkage AI closed-loop system (Guangzhou class), and videos for the first, second, and third day courses.

The course unfolds around the collaborative linkage and AI closed-loop system of the Taobao audience asset module, and is suitable for e-commerce bosses, Taobao operations leads, and advertising operators to understand implementation approaches for audience asset operations, module collaboration, and the combination of AI tools. During learning, focus on how audience assets are split, collaborated on, and reviewed, as well as how the AI closed loop connects in product selection, advertising, conversion, and other stages. The course is compiled from offline class records; it is recommended to practice in combination with your own store stage and platform rules.

Course Catalog

[Materials and On-site Records]
  • 1.On-site photos (course site records)
  • 2.Supporting document for the audience asset module collaborative linkage AI closed-loop system (Guangzhou class)
[Day 1 Course]
  • 3.Day 1 Course 01
  • 4.Day 1 Course 02
  • 5.Day 1 Course 03
[Day 2 Course]
  • 6.Day 2 Course 01
  • 7.Day 2 Course 02
[Day 3 Course]
  • 8.Day 3 Course 01
  • 9.Day 3 Course 02

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