Supply Chain Optimization Amazon Lite

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

Security Scan

The skill's code, instructions, and requirements are coherent with a supply‑chain analysis/reporting tool; it runs local Python scripts to compute metrics and generate reports and does not request unexplained credentials or network access.

Purpose & Capability

Name/description match the included artifacts: calculator and two report generators. No unrelated environment variables, binaries, or config paths are requested. The provided scripts implement metric calculation and report generation appropriate for a supply‑chain optimizer.

Instruction Scope

SKILL.md confines itself to guided data collection and running the included Python scripts (e.g., python3 scripts/calculator.py with JSON input). The scripts write local report files (Markdown/HTML). The generated HTML references an external Chart.js CDN (https://cdn.jsdelivr.net) — this only loads when the user opens the HTML and is not an active network call from the skill itself. No instructions to read unrelated system files or environment secrets were found.

Install Mechanism

There is no install spec (instruction-only skill). Code files are bundled with the skill but nothing is downloaded or extracted from external/untrusted URLs during install.

Credentials

The skill declares no required environment variables or credentials. The scripts accept user‑provided numeric/business inputs only; no secret tokens or external service keys are requested.

Persistence & Privilege

always is false and the skill does not request elevated or persistent platform privileges. It writes report files to disk in the working directory (normal for a reporting tool).

Assessment

This bundle appears coherent and implements a local supply‑chain analyzer. Before installing/running: - Ensure you trust the source because the skill executes Python code locally (inspect the included scripts yourself — they are provided). - The scripts write report files to disk (Markdown/HTML); check where files will be created and remove them if needed. - The generated HTML references Chart.js on jsdelivr; opening the report will make your browser fetch that CDN resource — avoid opening it on sensitive networks if you are concerned about external requests. - Do not paste secrets (API keys, cloud credentials) into the conversation input; the tool only needs business and numeric data. - Verify runtime expectations (Python 3 available, working directory) and that the calculator exposes the expected CLI entrypoint in your environment (scripts import/use functions internally).

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"

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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

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.