Supply Chain Optimization Amazon Lite

Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation

Supply Chain Optimization (Lite)

Supply chain bottleneck analysis tool - Conversation-based version

No API integration required. Collect data through guided conversation, automatically diagnose bottlenecks and output cost reduction strategies.

Use Cases

• Amazon seller supply chain health check
• Bottleneck identification and cost optimization
• Supply chain decision support

Workflow

Step 1: Trigger Skill

User says:

text

Analyze my supply chain
Supply chain diagnosis
I want to optimize supply chain costs

Step 2: Business Profile Collection

Guide user to describe in natural language:

text

👋 Starting Supply Chain Analysis

Please describe your situation in a sentence or two, like:
"I sell kitchen products, 15 SKUs, $50K monthly sales, sourcing from Yiwu, sea freight to FBA, shipping costs seem high"

Or just tell me what problem you want to solve.

Identify and confirm:

• Category
• SKU count
• Monthly revenue scale
• Sourcing location
• Logistics model
• Main pain points

Step 3: Supply Chain Data Collection

Guide user to provide key data:

text

📊 I need some data to locate bottlenecks (rough numbers are fine)

**Sourcing**
• Product cost (FOB): $___/unit
• Supplier payment terms: ___ days
• Lead time: ___ days

**Logistics**
• Shipping cost per unit: $___
• Transit time: ___ days

**Sales**
• Average selling price: $___
• FBA fulfillment fee: $___/unit
• Monthly storage fee: $___/unit
• Ad spend ratio: ___%

**Inventory**
• Current inventory days: ___ days
• Long-term storage fees: Yes/No

Just reply in natural language.

Step 4: Bottleneck Diagnosis

Run calculation script:

bash

python3 scripts/calculator.py '{"product_cost": 8, "supplier_payment_days": 0, ...}'

Output diagnosis report:

• Key metrics table (with health status)
• Cost structure breakdown
• Top 3 bottlenecks

Step 5: Cost Reduction Strategies

For each bottleneck provide:

• Problem description
• Impact analysis
• Specific recommendations
• Action checklist

Step 6: Output Format Selection

text

📤 Analysis complete! Choose output format:

1️⃣ **Text** - View in current conversation (already shown)
2️⃣ **Web Chart** - Generate visual report webpage
3️⃣ **Report Doc** - Document format for sharing/presentation

Reply with number or say "generate web report"

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Benchmark Configuration

The following benchmarks can be customized based on your business:

Metric	Healthy	Warning	Danger
Gross Margin	>40%	30-40%	<30%
Shipping Ratio	<5%	5-10%	>10%
Net Margin	>20%	10-20%	<10%
Inventory Turnover	<45 days	45-60 days	>60 days
Cash Cycle	<90 days	90-120 days	>120 days

To adjust, modify BENCHMARKS in scripts/calculator.py.

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File Structure

text

amazon-lite/
├── SKILL.md          # Index (this file)
├── SKILL.en.md       # English version
├── SKILL.zh-CN.md    # Chinese version
├── _meta.json
└── scripts/
    └── calculator.py

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Version 1.0.0 | Platform: Amazon | Lang: English

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Part of Nexscope AI — AI tools for e-commerce sellers.