A solution to the inefficiency of Idle Fish product screening
The following step-by-step solution can be used to address the problem of complicated commodity information and inefficient manual screening on the idle fish platform:
- Use AI-driven task creation features::
- Enter a natural language requirement into the web interface (e.g., "Looking for a used iPhone in good condition for $500-2000").
- The system automatically parses requirements and generates complex filtering rules, replacing manual setting of conditions.
- Configuring Multitask Concurrent Monitoring::
- Set up multiple independent tasks in JSON format in the config.json file
- Each task supports independent keywords, price ranges, and AI commands
- Enable real-time intelligent analytics::
- AI automatically analyzes product images to identify color grades
- Interpretation of product descriptions to extract key features (e.g., "no disassembled or repaired", "full box description")
- Evaluate seller credit profiles (transaction volume, positive feedback, etc.)
Implementation effect: It can shorten the traditional manual screening time consuming from hours to minutes, and at the same time, significantly improve the screening accuracy through the multi-dimensional analysis of AI.
This answer comes from the articleIdlefish Intelligent Monitoring Robot: an AI tool to monitor and analyze Idlefish goods in real timeThe
May not be reproduced without permission:AI productivity tools " How to solve the problem of inefficient screening of idle fish products?
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