supply-chain-optimization-tiktok
# Supply Chain Optimization — TikTok Shop 📦
Supply chain bottleneck analyzer for TikTok Shop sellers. Diagnose cash flow, inventory, affiliate costs, and return rates.
## Installation
```bash
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
```python
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
```bash
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:
1. **High affiliate commission** → Profit erosion
2. **High return rate** → Hidden costs
3. **Slow inventory turnover** → Short viral cycle, high stagnation risk
4. **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](https://www.nexscope.ai/) — AI tools for e-commerce sellers.**
标签
skill
ai
