mcpbeat

Supply Chain Optimization Tiktok

nexscope-ai/supply-chain-optimization-tiktok

Supply Chain Bottleneck Analyzer for TikTok Shop sellers. Diagnose cash flow, inventory turnover, affiliate commissions, and return rates. Includes FBT cost analysis, influencer payout optimization, and viral product lifecycle management. No API key required for basic analysis.

10k tokens
context cost
the whole folder, loaded on every use
4
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
570
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-tiktok

What comes with it

35 164 bytes besides the instruction
scripts/calculator.py
scripts/report_doc.py
scripts/report_html.py

The instruction itself

14 sections, as written by the author

Supply Chain Optimization — TikTok Shop 📦

Supply chain bottleneck analyzer for TikTok Shop sellers. Diagnose cash flow, inventory, affiliate costs, and return rates.

Installation

npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-tiktok -g

Platform Characteristics

| Feature | TikTok Shop | vs Amazon |

|---------|-------------|-----------|

| Fulfillment | FBT / Self-ship | FBA |

| Commission | 2-8% (category) + 2% transaction | 8-15% |

| Payment cycle | 7-15 days | 14 days |

| Traffic source | Content-driven | Search-driven |

| Return rate | Higher (impulse buying) | Medium |

Cost Structure (TikTok Shop)

Selling Price $XX
├── Product Cost
├── Inbound Shipping
├── FBT Fulfillment / Self-ship
├── Platform Fee (2%)
├── Referral Fee (2-8%)
├── Affiliate Commission (10-30%)  ← TikTok-specific
├── Advertising (Spark Ads)
└── Net Profit

Benchmark Configuration

BENCHMARKS = {
    "tiktok": {
        "gross_margin": {
            "healthy": 0.45,    # Need to cover affiliate commission
            "warning": 0.35,
            "danger": 0.25
        },
        "shipping_ratio": {
            "healthy": 0.05,
            "warning": 0.08,
            "danger": 0.12
        },
        "inventory_days": {
            "healthy": 30,      # TikTok viral cycle is short
            "warning": 45,
            "danger": 60
        },
        "cash_cycle": {
            "healthy": 60,      # Fast payment
            "warning": 90,
            "danger": 120
        },
        "net_margin": {
            "healthy": 0.15,    # After affiliate split
            "warning": 0.08,
            "danger": 0.03
        },
        # TikTok-specific metrics
        "return_rate": {
            "healthy": 0.10,    # <10% healthy
            "warning": 0.20,
            "danger": 0.30
        },
        "affiliate_ratio": {
            "healthy": 0.20,    # Affiliate commission ratio
            "warning": 0.30,
            "danger": 0.40
        }
    }
}

TikTok-Specific Costs

Affiliate Commission

Livestream selling: 10-30% commission
Short video promotion: 10-25% commission
Top influencers: May require upfront fees

Return Costs

TikTok return rates typically higher than traditional e-commerce (impulse buying)
Must account for:
├── Return shipping cost
├── Product damage/loss
└── Restocking fees

Input Data

**Sales (TikTok-specific)**
• Average Selling Price: $___
• FBT Fulfillment Fee: $___/unit
• Platform Fee: 2% (fixed)
• Referral Fee: ___%
• Affiliate Commission Rate: ___% (if applicable)
• Spark Ads Spend Ratio: ___%

**Risk (TikTok-specific)**
• Return Rate: ___%
• Return Processing Cost: $___/unit

API Integration

TikTok Shop API

export TIKTOK_APP_KEY="xxx"
export TIKTOK_APP_SECRET="xxx"
export TIKTOK_ACCESS_TOKEN="xxx"

Available Data

| Data | API |

|------|-----|

| Orders | Order API |

| Products | Product API |

| Logistics | Logistics API |

| Affiliates | Affiliate API |

Bottleneck Diagnosis Focus

TikTok Shop-specific bottlenecks:

  • High affiliate commission → Profit erosion
  • High return rate → Hidden costs
  • Slow inventory turnover → Short viral cycle, high stagnation risk
  • Content dependency → Unstable traffic

vs Amazon Comparison

| Item | Amazon | TikTok |

|------|--------|--------|

| Commission | 8-15% | 4-10% |

| Affiliate split | None | 10-30% |

| Payment cycle | 14 days | 7-15 days |

| Return rate | 5-15% | 10-30% |

| Traffic | Stable | Volatile |

| Viral cycle | Long | Short |


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

How to use it

Copy the folder

Take nexscope-ai/supply-chain-optimization-tiktok from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.