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[Practical example]
For a client selling Japanese beauty products to the Chinese market, we assisted them in the following:

  • Through AI-based market data analysis, product categories with high local demand are identified and the selection of best-selling products is optimized.

  • Based on inventory turnover and sales data, we have optimized our inventory management system to reduce excess inventory and shorten delivery times.

  • Conducted A/B testing on product page images, titles, and descriptions to significantly improve click-through rates and purchase rates.

This resulted in an increase of approximately 35% in monthly sales in the client's cross-border e-commerce business.

✅ Step 1: Analyze market trends Tools used: Google Trends, Helium 10, Jungle Scout, Keepa, ChatGPT, etc.

  • Use Google Trends to understand search trends for your product category (e.g., "collagen powder").

  • Using Helium 10 and Jungle Scout, data such as the number of sales, monthly sales, and number of reviews for the relevant products was obtained.

  • Use ChatGPT to supplement market analysis such as "Products selling well on Amazon US in 2024."

✅ Step 2: Competitive analysis and differentiation point extraction Tools used: Jungle Scout, Helium 10, DataDive, ChatGPT

  • AI is used to analyze reviews of best-selling products to extract customer complaints and needs for improvement (e.g., "The packaging breaks easily" or "The flavor is inconsistent").

  • Generate improvement suggestions using ChatGPT (e.g., "change to packaging made from eco-friendly materials" or "add natural flavors").

  • Use DataDive and other tools to compare and analyze the prices, number of reviews, FBA compatibility, etc. of competing products.

✅ Step 3: Profit calculation and ROI forecast Tools used: FBA Calculator, AI-linked spreadsheet (Excel, etc.)

  • Calculate your profit with Amazon FBA Fee Calculator:
    Selling price – Amazon fees – shipping costs – cost of goods = net profit

  • Use AI to model scenarios for selling price, cost, and sales volume to predict changes in profit margins and ROI.

✅ Step 4: AI-based decision support Tools used: ChatGPT, Notion AI, Airtable AI, etc.

  • Candidate products are evaluated using indicators such as "profit margin," "competitiveness," "demand trends," and "procurement risk."

  • AI automatically calculates and ranks scores to select the most promising products.

✅ Additional advice

  • ChatGPT + web scraping tool also allows you to automatically obtain product data and reviews.

  • After product selection, AI can be used to optimize product titles, descriptions, image composition, etc., leading to increased CVR (conversion rate).

If you wish, we can provide you with customized AI selection templates (Excel or Notion format) tailored to your company's field and budget.

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We utilize big data and AI tools to provide one-stop solutions that maximize profits for our customers in cross-border e-commerce. Our main services cover a wide range of areas, including optimizing product selection, streamlining inventory management, and optimizing product pages.

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