v1.0.0 to v1.0.0

---

name: supply-chain-optimization-amazon-lite

version: 1.0.0

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

platform: amazon

lang: en

---

# 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:

```

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:

```

👋 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:

```

📊 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

```

📤 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"

```

---

## 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`.

---

## File Structure

```

amazon-lite/

├── SKILL.md # Index (this file)

├── SKILL.en.md # English version

├── SKILL.zh-CN.md # Chinese version

├── _meta.json

└── scripts/

└── calculator.py

```

---

_Version 1.0.0 | Platform: Amazon | Lang: English_

---