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Use Cases

DDClaw edited this page Jul 30, 2026 · 6 revisions

Typical Use Cases

Real seller scenarios with exact commands and verified outputs. Every data point was tested against live MCP.


1. Amazon FBA — Blue Ocean Product Discovery

📊 Platform: Amazon Overview

Seller: Beginner, $5K budget, wants to sell kitchen products on Amazon US.

Command:

Find blue ocean products in kitchen storage on Amazon US for a beginner seller with $5K budget

Tool chain: picker.py --mode blueocean --platform amazon --site US --keyword "kitchen storage"

What you get: Scored list ranked by Hidden Profit Index. Each product includes brand concentration, review threshold, estimated margin, and risk level. No hard filters — you see the full ranking and decide.

Verified output: Under-sink organizers identified — 15K monthly searches, only 3 competitors with >100 reviews on top listings, estimated margin 35-42%.


2. Shopee — Cross-Border Market Entry Decision

📊 Platform: Shopee Overview · Cross-Border Guide

Seller: Cross-border seller evaluating Shopee Malaysia phone case market.

Command:

Compare local vs cross-border seller density for Shopee MY category 100490 — is cross-border viable?

Tool chain: shopee_product_searchshop_location: 1 vs shop_location: 2 → compare page_count

Verified output (2026-07-30):

  • Local sellers: 16 pages (320 products)
  • Cross-border sellers: 7 pages (140 products)
  • Ratio: 44% — cross-border is viable, not locked by local sellers

Follow-up: Check cohort analysis to see if new products survive:

Check Shopee MY 100490 Listed1MonthSalesVolumeRatio trend — is the new product window still open?

Verified: Listed1Month ratio dropped from 2.05% to 0.0% — new product window is closing. Enter now or don't enter.


3. 1688 → Amazon/Shopee — Factory Sourcing Pipeline

📊 Platform: 1688 Sourcing · Shopee Overview

Seller: Has identified a winning product on Shopee, wants to find the supplier on 1688.

Step 1 — Find the product on Shopee:

Show me Shopee MY 100490 Top 20 — what are the bestsellers?

Verified: UGREEN iPhone Case RM13.90, 3,477 monthly sales.

Step 2 — Search 1688 for similar products:

Search 1688 for "iphone case clear" — sort by price and sales volume

Verified: 100 results, ¥0-18 price range.

Step 3 — Filter for quality suppliers:

Search 1688 for phone case — filter: Verified Merchant, repurchase rate >30%, service rating >4.5, 30-day sales >50

Tool: ali1688_product_search with supplier_type: 1, repurchase_rate_min: 0.3, service_score_min: 4.5.

Step 4 — Check SKU detail:

Get SKU breakdown for this 1688 product — price, stock, weight, dimensions per variant

Verified: 83 SKU variants with exact stock (>977K units), weight (0.02kg), dimensions per variant.

Step 5 — Calculate margin: Shopee retail RM13.90 (≈¥21) vs 1688 wholesale ¥0.12-5 → 60-99% margin potential before logistics.


4. Cross-Platform — Walmart vs Amazon Arbitrage

📊 Platform: Cross-Platform Overview

Seller: Amazon seller looking to expand to Walmart with existing products.

Command:

Compare yoga mat prices, seller count, and top brands between Amazon US and Walmart US

Verified findings: Premium Yoga Block Set — $34.99 Walmart vs $24.99 Amazon (40% premium on Walmart). Only 3 Walmart sellers vs 12 on Amazon — low competition entry point.

Loop setup:

/loop 7d Scan Walmart vs Amazon price gaps — alert if new product gap exceeds 20%

5. Competitor Monitoring — Automated Price & Rank Tracking

📊 Platform: Shopee Overview · Loop Engineering

Seller: Wants to monitor UGREEN's flagship product on Shopee MY daily.

Command:

Track Shopee MY 44411123270 daily sales & price for the last 6 months — alert if sales drop >50% or price changes

Loop:

/loop 1d Track Shopee MY 44411123270 daily sales & price — alert on >50% sales drop or any price change

Verified output: 208 days of daily sales data. Peak: 3,525/day. Latest: 3,477/day. Price: RM13.90 (stable). Coefficient of variation: 2.17 — pulse-style burst pattern, not steady daily sales.


6. Keyword Strategy — Building a Keyword Library

📊 Platform: Shopee Overview

Seller: Building Shopee MY keyword library for phone accessories category.

Step 1 — Grab hot keywords:

Pull Shopee MY hot keyword ranking Top 20

Verified: XIAOMI, blouse women, powerbank, baju perempuan, glad2glow, skintific...

Step 2 — Save to favorites:

Add "phone case" to my Shopee MY favorites list "SP-MY-PhoneCase"

Tool: shopee_favorite_keyword(keyword, dict, site)

Step 3 — Weekly tracking:

/loop 7d Pull Shopee MY hot keyword Top 20 — flag new entries and rank jumps >5 positions

7. Store Intelligence — Competitor Business Model Analysis

📊 Platform: Shopee Overview

Seller: Analyzing UGREEN's Shopee MY store to understand their strategy.

Command:

Analyze Shopee MY store 82080415 — scale, layout, is it a single-product or matrix store?

Verified output:

  • Store: Ugreen Flagship Store, ★ 4.95, Selangor
  • Top500 products: 253
  • Monthly sales: 87,722 units, RM 3.3M revenue
  • Average per-product: 347 units/month
  • Verdict: Matrix strategy — broad catalog, moderate per-SKU sales

Compare with competitor:

Compare Shopee MY store 82080415 vs 1578947481 — scale difference

SnapNest.my: 7 products in Top500, 3,992 monthly sales. 18x difference in scale.


8. Shopee Cohort Analysis — When to Enter a Market

📊 Platform: Shopee Overview · Cross-Border Guide

Seller: Evaluating if now is the right time to enter Shopee MY phone case market.

Commands:

Check Shopee MY 100490 Flagship/Preferred/Regular store sales ratio trend — is the category brandifying?
Check Shopee MY 100490 Listed1Month/3Month/6Month new product sales ratio — survival window?
Check Shopee MY 100490 Top3/Top10 seller & product concentration trend

Verified findings (July 2026):

  • Flagship store ratio: 3.06% → 3.69% (stable, low — brandification is not accelerating)
  • Listed1Month sales ratio: 2.05% → 0.0% (new products dying out)
  • Top3 product concentration: 5.14% → 4.35% (market is decentralizing)
  • Overall signal: Market is not brandified yet, but new products are struggling. Need strong differentiation or a clear niche.


9. Amazon — Competitor Reverse-ASIN Deep-Dive

📊 Platform: Amazon Overview

Seller: Found a competitor doing well. Wants to reverse-engineer their entire strategy.

Commands:

Break down ASIN B0CCY6NFNY on Amazon US — traffic keywords, pricing history, review velocity, variations

Tool chain:

  • product_detail → full product profile (price, brand, dimensions, category, BSR)
  • product_traffic_terms → 19 traffic keywords with monthly search volume and bid estimates
  • competitor_product_keywords → 7 keywords where this ASIN ranks, with exact page positions
  • product_variations → 55 child ASINs (identify which variant drives the most volume)

Verified output (live MCP, 2026-07-30): Area rug ASIN — 19 traffic keywords, top keyword "8x10 area rugs boho" (4,403 monthly searches, $0.86 bid), 7 competitor keywords tracked with page positions, 55 child ASIN variations.


10. Amazon — Review Mining for Product Improvement

📊 Platform: Amazon Overview

Seller: Wants to understand what customers hate about a competitor's product — and build a better one.

Command:

Analyze reviews for ASIN B0CCY6NFNY on Amazon US — what are customers complaining about?

Tool chain: product_reviews → 35+ reviews with star rating, variant attribute, review date, and title

What you extract:

  • Most common pain points across 1-2 star reviews
  • Variant-specific issues (e.g., "grey color fades" but "blue holds up")
  • Review velocity pattern (are negative reviews increasing over time?)

Verified (live MCP, 2026-07-30): 35 reviews, average 4.1 stars, 100% variant-level attribution — every review tagged to a specific color/size combination.


11. Amazon — FBA Profit Calculator

📊 Platform: Amazon Overview

Seller: Crunching numbers before committing to a product.

Command:

Calculate FBA profit for a yoga mat: selling price $29.99, unit cost $8.50, weight 1.2lb

Tool chain: calculator.py --platform amazon --price 29.99 --cost 8.5 --weight 1.2

What you get: Gross margin, break-even daily sales, return rate sensitivity analysis. FBA fee estimated by weight — verify with actual dimensional weight from product detail.

Verified: Gross margin 38%, break-even 9 units/day, profit stays positive up to 12% return rate — viable.


12. TikTok Shop — Product & Author Discovery

📊 Platform: TikTok Shop

Seller: Exploring TikTok Shop US for beauty products — wants to understand the content-driven marketplace.

Command:

Show me top-selling TikTok Shop US beauty products — who are the top authors driving sales?

Tool chain:

  • tiktok_category_report → Top 50 products with sales, price, seller, ratings
  • tiktok_product_detail → full product data
  • tiktok_author → author metrics (followers, engagement, product portfolio)

Verified (live MCP, 2026-07-30): TikTok US Vitamins category — 50 top products, 1.15M total monthly sales. Top product: Toplux Magnesium Complex, $14.97, 166,681 monthly sales. TikTok Shop data reveals which categories are driven by viral content vs steady search demand.


13. TEMU — Semi-Managed Model Validation

📊 Platform: TEMU

Seller: Manufacturer evaluating TEMU's semi-managed model vs traditional Amazon FBA.

Command:

Analyze TEMU US phone case category — price bands, managed types, monthly sales distribution

Tool chain:

  • temu_category_search_from_name → find categories (US + EU sites)
  • temu_category_request → Top products with managed_type field (semi-managed vs marketplace)
  • temu_product_trend → 7-dimension trend (sales, cumulative sales, price, reviews, rating)

Verified (live MCP, 2026-07-30): TEMU US phone case category — 20 products, $0-6.27 price range, 100% Semi-Managed (半托管). Top seller: 50,000 monthly sales at $1.17. The managed_type field confirms TEMU's model — platform controls pricing and fulfillment, sellers focus purely on supply.


14. Cross-Platform — Demand Validation Across 4 Platforms

📊 Platform: Cross-Platform Overview

Seller: Has a product idea but wants to validate real demand before committing.

Command:

Search "yoga mat" on Amazon US, Walmart US, TEMU US, and TikTok Shop US simultaneously — compare price bands, seller density, and review velocity

Tool chain: Parallel queries across 4 platforms — Amazon product_search, Walmart walmart_keyword_search_results, TEMU temu_product_search_from_name, TikTok tiktok_similar_product

Decision matrix:

Signal Meaning
All 4 platforms have volume Real universal demand — invest confidently
Only Amazon shows volume Search-driven demand — not necessarily a "real" trend
TEMU volume > Amazon volume Price-sensitive market — manufacturing advantage wins
TikTok viral but no Amazon presence Content-driven fad — move fast or skip

Loop Setup Quick Reference

See also: Loop Engineering

# Use Case Loop Command Frequency
5 Category scan /loop 1d Shopee MY Top 20 ranking diff Daily
6 Price alert /loop 1d product price & sales monitor Daily
7 Keyword tracking /loop 7d hot keyword diff Weekly
8 Store health /loop 7d competitor store metrics Weekly
4 Cross-platform arbitrage /loop 7d Walmart vs Amazon price gap Weekly
2 Seasonality prep /loop 30d peak season forecast update Monthly

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