ECommerce-Skills supply-chain-optimization-amazon-lite
Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation
install
source · Clone the upstream repo
git clone https://github.com/nexscope-ai/eCommerce-Skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/nexscope-ai/eCommerce-Skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/supply-chain-optimization/supply-chain-optimization-amazon" ~/.claude/skills/nexscope-ai-ecommerce-skills-supply-chain-optimization-amazon-lite && rm -rf "$T"
manifest:
supply-chain-optimization/supply-chain-optimization-amazon/SKILL.mdsource content
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.