supply-chain-optimization-amazon-lite

One of 162 skills in the nexscope-ai/ecommerce-skills package — works on its own, and pairs well with its siblings.

WHEN YOUR AGENT SHOULD USE IT

A QUICK BOUNDARY

USE FOR

Check whether your margins, shipping costs, and inventory turnover look healthy.
Find the single biggest thing eating into the profit on an Amazon sale.
Get a cost-reduction plan for a specific supply chain problem you already suspect.
Compare your numbers against benchmark ranges without connecting any accounts.

Documents

This is the playbook your agent receives when the skill activates — you don't need to read it to use the skill, but it's here to audit before installing.

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:

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

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

Installation

Copy & paste — that's it

npx skills add nexscope-ai/ecommerce-skills --skill "supply-chain-optimization-amazon-lite" --full-depth

Run this in your project — your agent picks the skill up automatically.

BEFORE IT WILL WORK

1 FOR YOU

01
Have Python 3 installed
After you describe your supply chain in conversation, bottleneck diagnosis runs through the bundled scripts/calculator.py, so Python 3 must be installed and runnable.

License

Licensed under MIT— you can use, modify, and redistribute it under that license's terms.

View the full license file on GitHub →