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Here's how I used Codex to build a Xiaohongshu product selection tool: I shared it in a community of around 500 people. In half a month, it attracted nearly 200 registered users.

Hello everyone, I'm Aze. I usually handle virtual resources on Xiaohongshu. I've always believed that product selection is the key to success in e-commerce. Honestly, my previous method for selecting products wasn't very complex: I'd look at a few benchmark stores and items, and if I thought one was good,

Summary

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Hello, I'm Aze. I usually handle virtual content for Xiaohongshu (Little Red Book). I've always believed that product selection determines success or failure in e-commerce. Honestly, my past method wasn't overly complex: I'd check a few benchmark stores and products, find something promising, and launch it as a new item. I preferred focusing on high-quality or viral products, paying attention to only a limited number of items. Later, I began to question an issue I had previously overlooked: given the cumulative sales figures, is this product still selling well recently? To investigate this, I used Codex to build a small tool for monitoring product sales. After using it myself for some time, I deployed it online...

Our Take

Three things to consider about this case

Why it matters
Use one product or piece of content to validate demand first, then record transactions, costs, and after-sales service.
Who it suits
Suitable for reference by those who already have similar needs and can verify effectiveness through small tasks.
What to check first
The achievements mentioned in the summary belong to the author's self-report; distinguish between revenue and profit, and consider costs, man-hours, and reproduction conditions.
Our Suggestions / Try This
Who it suits
Content operators and e-commerce practitioners
What to try first
Select one product or set of materials for a small-scale test, recording publication and feedback.
What to measure
Compare genuine inquiries, clicks, and transaction feedback, recording costs and revenue separately.
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What should you ask before trying this?

  • What specific need does this practice solve for you?
  • How should the minimum viable test be accepted, and how much time needs to be invested?
  • Which steps still require human processing and continuous maintenance?
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