S

supply-chain-optimization-amazon

bynexscope-ai

Amazon supply chain β€” FBA inventory, IPI score, storage fees, restock optimization.

Installation

Send this command to your AI agent:

npx skills add https://github.com/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-optimization/supply-chain-optimization-amazon --skill supply-chain-optimization-amazon

Documentation

---

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:

πŸ‘‹ 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:

πŸ“Š I need some data to locate bottlenecks (rough numbers are fine)

Sourcing

β€’ Product cost (FOB): $___/unit

β€’ Supplier payment terms: ___ days

β€’ Lead time: ___ days

Logistics

β€’ Shipping cost per unit: $___

β€’ Transit time: ___ days

Sales

β€’ Average selling price: $___

β€’ FBA fulfillment fee: $___/unit

β€’ Monthly storage fee: $___/unit

β€’ Ad spend ratio: ___%

Inventory

β€’ Current inventory days: ___ days

β€’ 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

πŸ“€ 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/

β”œβ”€β”€ SKILL.md # Index (this file)

β”œβ”€β”€ SKILL.en.md # English version

β”œβ”€β”€ SKILL.zh-CN.md # Chinese version

β”œβ”€β”€ _meta.json

└── scripts/

└── calculator.py

---

_Version 1.0.0 | Platform: Amazon | Lang: English_

---

Part of Nexscope AI β€” AI tools for e-commerce sellers.

Links

GitHub