Every day, thousands of products trend on Amazon and TikTok Shop. By the time most sellers notice, the early-mover advantage is gone.
I built a Product Trend Radar — an AI-powered commerce intelligence system that scans Amazon and TikTok Shop daily to find trending products, analyze competition, mine review insights, and score opportunities before they saturate.
How It Works
The radar runs on 6 AI agent skills working together:
1. Amazon Product Scout
Scans bestsellers, new releases, and movers and shakers across your target categories. Extracts ASIN, price, rating, review count, BSR, and seller information.
2. TikTok Shop Scout
Monitors trending products, viral content, and creator partnerships. Measures content velocity — the number of videos, views, and engagement a product generates in 24h/7d windows.
3. Review Miner
Deep-mines product reviews to find:
- What customers love (copy these features)
- What they hate (fix these pain points)
- What they wish existed (build these features)
- Which competitors they mention
4. Competitor Tracker
Monitors competitor pricing, listing changes, inventory signals, and ranking movements. Alerts you when a competitor drops price, adds new variations, or runs out of stock.
5. Opportunity Scorer
Multi-factor scoring engine that rates each product 0-100 across 5 dimensions:
| Dimension | Weight | What It Measures |
|---|---|---|
| Demand Signal | 25% | BSR trend, search volume, TikTok views |
| Competition Level | 20% | Seller count, brand concentration |
| Review Sentiment | 20% | Pain points, feature gaps |
| Content Velocity | 15% | Social momentum, creator activity |
| Profit Potential | 20% | Margins, shipping, seasonality |
80+ = Green light. 60-79 = Investigate. Below 60 = Skip.
6. Daily Briefing Generator
Combines all signals into a concise morning report with:
- Market pulse (biggest movers)
- Hot opportunities with scores and margins
- Competitor alerts
- Prioritized action items
The Scoring Framework in Practice
# Example: Scoring a stackable bento box
product = {
"title": "Stackable Bento Box",
"bsr": 1923, # Improving rapidly
"reviews": 156, # Low competition (few reviews)
"rating": 3.8, # Room for improvement
"tiktok_views": 500000, # Viral content
"seller_count": 5, # Fragmented market
"estimated_margin": 68, # Great margins
}
# Result: 84/100 — High Opportunity
# Action: Source immediately from 1688 at $2.10, sell at $19.99
What You Get
The Product Trend Radar Pack includes:
- 6 AI agent skill files — Ready-to-use prompts for any AI agent (Hermes, OpenClaw, Manus, ChatGPT)
- 3 Python scripts — Amazon stealth scraper, opportunity scoring engine, configurable settings
- Templates — Daily briefing, product scorecard, competitor profile
- Examples — Sample outputs for every component
Works with or without coding. The AI agent skills need zero code — just copy the prompt and run.
Target Markets
- Amazon US, EU (DE/UK/FR/IT/ES), Japan
- TikTok Shop (Global)
- Wildberries / Ozon (Russia)
- Mercado Libre (LatAm)
- 1688 (sourcing)
My Results
After running this radar for 3 months:
- Found 12 products scoring 80+ before they peaked
- Average time from detection to listing: 5 days
- 3 products became top-10 BSR in their categories
- One product generated $8K in its first month
The key insight: speed beats scale. Finding a trending product 2 weeks early is worth more than having 100 mediocre listings.
If you sell on Amazon, TikTok Shop, or any e-commerce platform, the Product Trend Radar Pack will help you spot winners before the crowd.
What tools do you use for product research? Would love to compare notes.
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