亚马逊市场可行性智能分析

核心能力

全自动数据获取 → 智能分析 → 分层输出
无需Excel上传 → 30秒快速判断 → 2分钟深度报告

用户交互（极简）

输入（3个参数）

必需:
  keyword: "women active shorts"  # 品类关键词
  price: 32.0                     # 目标售价
  cost: 12.0                      # 预估成本

可选（自动推断）:
  budget: "medium"      # 低/中/高（根据售价推断）
  experience: "intermediate"  # 新手/有经验/专家（根据交互推断）

输出（分层）

分析流程

Phase 1: 30秒快速扫描

系统自动调用API获取核心数据：

# 并行调用（5个API）
with ThreadPoolExecutor(max_workers=5) as executor:
    market_intel = executor.submit(data_layer.get_market_intelligence, keyword)
    keyword_intel = executor.submit(data_layer.get_keyword_intelligence, keyword)
    
# 计算核心指标
opportunity_score = calculate_score(market_intel, keyword_intel)

输出示例：

[Quick Scan Complete - 28 seconds]

Opportunity Score: 68/100 [WORTH ENTERING]

Market Size:        [████████░░] 25/30  (52,847 units/month)
Competition:        [██████░░░░] 20/30  (CR3: 56%, Medium)
Trend:              [███████░░░] 15/20  (Growing +8.5%/mo)
Price Opportunity:  [████░░░░░░] 12/20  (Gap in $28-35 band)

Recommendation: GO - Market conditions favorable

[Start Full Analysis] [View Quick Data] [Find Alternatives]

Phase 2: 2分钟深度分析（7步框架）

[Deep Analysis - Step 1/7] Market Overview...
  Monthly Units: 52,847
  Monthly Revenue: $1.69M
  CR3: 56.14% (Medium concentration)
  
[Deep Analysis - Step 2/7] Brand Structure...
  Top Brand: Capezio (18.5% share)
  Brand Count: 45
  Entry Difficulty: Medium
  
[Deep Analysis - Step 3/7] Price Band Analysis...
  Optimal Band: $28-35 (32% market share)
  Your Position: $32 (Optimal)
  
[Deep Analysis - Step 4/7] Profit Calculation...
  Revenue:        $32.00
  Product Cost:   -$12.00
  Amazon Fee:     -$5.44 (17%)
  FBA Fee:        -$4.42
  Ad Cost:        -$4.80 (15%)
  Return Cost:    -$2.56 (8%)
  ─────────────────────────
  Net Profit:     $2.78/unit (8.7%)
  
  ⚠️  Low margin! Suggestions:
     1. Increase price to $35 (+$1.20 profit)
     2. Reduce cost to $10 (+$2.00 profit)
     3. Optimize ads to 12% ACOS (+$0.96 profit)
  
[Deep Analysis - Step 5/7] Product Attributes...
  Common Features: Quick-dry, Stretch, Pockets
  Differentiation Opportunities: Anti-pilling fabric
  
[Deep Analysis - Step 6/7] Market Trend...
  Direction: Upward (+8.5% monthly)
  Seasonality: Peak in May-July
  
[Deep Analysis - Step 7/7] Seller Distribution...
  China Sellers: 68% (High intensity)
  FBA Ratio: 85%
  
[Analysis Complete]

输出示例（标准模式）

================================================================================
MARKET FEASIBILITY ANALYSIS REPORT
================================================================================

Target: women active shorts
Price: $32.00 | Cost: $12.00
Analysis Date: 2026-04-12

────────────────────────────────────────────────────────────────────────────
EXECUTIVE SUMMARY
────────────────────────────────────────────────────────────────────────────

Decision: [GO] Worth entering with caution
Overall Score: 68/100
Confidence: High (11 APIs, 98% data coverage)

Key Metrics:
  Market Size:      52,847 units/month ($1.69M)
  Competition:      Medium (CR3: 56%)
  Profit Margin:    8.7% ($2.78/unit)
  Break-even:       215 units/month
  Payback Period:   2.3 months

────────────────────────────────────────────────────────────────────────────
DETAILED ANALYSIS
────────────────────────────────────────────────────────────────────────────

1. MARKET SIZE & GROWTH
   Monthly Units:     52,847
   Monthly Revenue:   $1.69M
   Growth Rate:       +8.5%/month (Strong)
   Seasonality:       Summer peak (May-Jul)

2. COMPETITIVE LANDSCAPE
   CR3:               56.14% (Medium concentration)
   CR5:               71.23%
   Brand Count:       45
   Top Brand:         Capezio (18.5%)
   
   Entry Difficulty:  Medium
   New Brand Success: Possible with differentiation

3. PRICE BAND ANALYSIS
   Market Average:    $31.95
   Your Price:        $32.00 (Optimal position)
   
   Price Bands:
   ┌──────────────┬──────────┬─────────────┐
   │ Range        │ Share    │ Competition │
   ├──────────────┼──────────┼─────────────┤
   │ $20-25       │ 15%      │ High        │
   │ $25-30       │ 28%      │ Medium      │
   │ $30-35 ⭐    │ 32%      │ Medium      │
   │ $35-40       │ 18%      │ Low         │
   │ $40+         │ 7%       │ Low         │
   └──────────────┴──────────┴─────────────┘

4. PROFIT ANALYSIS
   
   Cost Structure:
   ┌─────────────────┬──────────┬──────────┐
   │ Item            │ Amount   │ %        │
   ├─────────────────┼──────────┼──────────┤
   │ Selling Price   │ $32.00   │ 100%     │
   │ Product Cost    │ -$12.00  │ 37.5%    │
   │ Amazon Fee      │ -$5.44   │ 17.0%    │
   │ FBA Fee         │ -$4.42   │ 13.8%    │
   │ Ad Cost         │ -$4.80   │ 15.0%    │
   │ Return Cost     │ -$2.56   │ 8.0%     │
   ├─────────────────┼──────────┼──────────┤
   │ Net Profit      │ $2.78    │ 8.7%     │
   └─────────────────┴──────────┴──────────┘
   
   ⚠️  Margin Alert: Below 15% target
   
   Optimization Scenarios:
   ┌────────────────────┬──────────┬──────────┐
   │ Scenario           │ Profit   │ Margin   │
   ├────────────────────┼──────────┼──────────┤
   │ Current            │ $2.78    │ 8.7%     │
   │ Price $35          │ $3.98    │ 11.4%    │
   │ Cost $10           │ $4.78    │ 14.9%    │
   │ ACOS 12%           │ $3.74    │ 11.7%    │
   │ Combined           │ $6.74    │ 19.3%    │
   └────────────────────┴──────────┴──────────┘

5. PRODUCT ATTRIBUTES
   Must-have Features:
   - Quick-dry fabric (92% listings)
   - 4-way stretch (88%)
   - Side pockets (76%)
   
   Differentiation Opportunities:
   - Anti-pilling fabric (only 12% mention)
   - Reflective elements (8%)
   - Multiple inseam lengths (15%)

6. MARKET TREND
   Direction: Strong upward
   3-month growth: +25.5%
   12-month trend: +68%
   
   Seasonal Pattern:
   - Peak: May-July (140% of avg)
   - Low: Nov-Jan (60% of avg)
   
   Recommendation: Launch in March-April for summer peak

7. SELLER LANDSCAPE
   China Sellers: 68% (High intensity)
   US Sellers: 22%
   Others: 10%
   
   FBA Usage: 85%
   FBM Usage: 15%
   
   New Seller Success Rate: 35% (12-month)

────────────────────────────────────────────────────────────────────────────
RISK ASSESSMENT
────────────────────────────────────────────────────────────────────────────

High Risks:
  ⚠️  Low profit margin (8.7%)
  ⚠️  High China seller ratio (68%)

Medium Risks:
  ⚠️  Medium competition (CR3=56%)
  ⚠️  Seasonal demand

Low Risks:
  ✓ Growing market (+8.5%/mo)
  ✓ Optimal price positioning

────────────────────────────────────────────────────────────────────────────
ACTION PLAN
────────────────────────────────────────────────────────────────────────────

Immediate (This Week):
  ☐ Contact 3+ suppliers for $10-11 cost quotes
  ☐ Request anti-pilling fabric samples
  ☐ Confirm 3-pocket design feasibility

Short-term (2-4 Weeks):
  ☐ Finalize product specifications
  ☐ Order 300-unit test batch
  ☐ Create differentiated listing

Medium-term (1-3 Months):
  ☐ Launch in March for summer peak
  ☐ Target 15% ACOS in ads
  ☐ Build review base (target 4.5+ rating)

Success Metrics:
  - Month 1: 50 units, 4.3+ rating
  - Month 3: 200 units, 15% ACOS
  - Month 6: 500 units, $5+ profit/unit

────────────────────────────────────────────────────────────────────────────
ALTERNATIVES TO CONSIDER
────────────────────────────────────────────────────────────────────────────

If cost cannot be reduced below $10:
  1. women yoga shorts (higher margin, less seasonal)
  2. women running shorts (larger market)
  3. women biker shorts (trending +45%)

[View Full Alternatives Analysis]

================================================================================
END OF REPORT
================================================================================

技术实现

核心类

class MarketAnalysisV2:
    def full_analysis(self, keyword: str, price: float, cost: float) -> Dict:
        """
        Complete 7-step market analysis
        
        Steps:
        1. Market Overview
        2. Brand Structure
        3. Price Band Analysis
        4. Profit Calculation (with optimization)
        5. Product Attributes
        6. Market Trend
        7. Seller Distribution
        
        Returns: Complete analysis report with recommendations
        """
        pass

利润优化算法

def calculate_profit_optimization(price: float, cost: float) -> List[Dict]:
    """
    Calculate profit optimization scenarios
    
    Scenarios:
    1. Price adjustment
    2. Cost reduction
    3. ACOS optimization
    4. Combined improvements
    """
    scenarios = []
    
    # Current scenario
    current = calculate_profit(price, cost)
    scenarios.append({"name": "Current", **current})
    
    # Price +10%
    price_up = calculate_profit(price * 1.1, cost)
    scenarios.append({"name": "Price +10%", **price_up})
    
    # Cost -15%
    cost_down = calculate_profit(price, cost * 0.85)
    scenarios.append({"name": "Cost -15%", **cost_down})
    
    # ACOS 12%
    acos_opt = calculate_profit(price, cost, acos=0.12)
    scenarios.append({"name": "ACOS 12%", **acos_opt})
    
    # Combined
    combined = calculate_profit(price * 1.1, cost * 0.85, acos=0.12)
    scenarios.append({"name": "Combined", **combined})
    
    return scenarios

依赖

• unified_data_layer_v2.py - 统一数据层
• sellersprite_mcp.py - MCP客户端
• SellerSprite API access

版本

V2 - 2026-04-12

• Complete automation (no Excel upload)
• Added 30s quick scan + 2min deep analysis
• Implemented profit optimization scenarios
• Added layered output (beginner/standard/expert)