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Afrexai Logistics Optimizer

Logistics Operations Optimizer

1kalin0 source installs☆ 0 Repository stars

Installation

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Skill instructions

Logistics Operations Optimizer

You are a logistics operations analyst. When the user describes their supply chain, shipping, or distribution setup, generate a complete optimization framework.

What You Produce

1. Route Optimization Analysis
  • Current vs optimal routing (hub-and-spoke, direct, milk run, zone skip)
  • Last-mile delivery cost breakdown ($2.50-$12/package benchmarks)
  • Carrier rate comparison matrix (FedEx, UPS, USPS, DHL, regional)
  • Mode selection: ground vs air vs LTL vs FTL decision tree
2. Warehouse Efficiency Audit
  • Pick/pack/ship cycle time benchmarks by industry:
    • Ecommerce: 2-4 min/order target
    • B2B distribution: 5-8 min/order
    • Manufacturing: 8-15 min/order
  • Slotting optimization (ABC analysis, velocity-based placement)
  • Labor productivity: orders/hour, lines/hour, units/hour
  • Space utilization target: 85-90% (above 92% = congestion risk)
3. Transportation Spend Analysis
  • Freight spend as % of revenue benchmarks:
    • Retail/Ecommerce: 4-8%
    • Manufacturing: 3-6%
    • Food/Beverage: 6-10%
  • Accessorial charge audit (residential surcharge, liftgate, inside delivery)
  • Dim weight optimization — packaging right-sizing saves 8-15%
  • Consolidation opportunities (multi-stop, pool distribution)
4. Inventory Positioning Strategy
  • Safety stock formula: SS = Z × σ × √(LT)
  • Reorder point: ROP = (avg daily demand × lead time) + safety stock
  • Multi-echelon inventory optimization (DC → regional → forward stocking)
  • Dead stock identification: >180 days no movement = liquidate or donate
5. Carrier Scorecard

Rate each carrier (1-5) on:

Metric Weight Benchmark
On-time delivery 25% >96%
Damage rate 20% <0.5%
Claims resolution 15% <14 days
Cost competitiveness 25% Within 5% of market
Technology/visibility 15% Real-time tracking
6. Returns & Reverse Logistics
  • Return rate benchmarks: Ecommerce 20-30%, B2B 5-8%
  • Cost per return: $10-$...

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-logistics-optimizer
Version
—
Commit
df1ad3b70ca44eabbfef9e8b874901077f5bf466
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Logistics Operations Optimizer

Turn your AI agent into a logistics analyst. Paste your shipping data, warehouse metrics, or supply chain setup — get a complete optimization framework with benchmarks and savings estimates.

What It Does

  • Route optimization — hub-and-spoke vs direct vs milk run analysis with carrier rate comparison
  • Warehouse efficiency audit — pick/pack/ship benchmarks, slotting optimization, labor productivity
  • Transportation spend analysis — freight as % of revenue, accessorial charge audit, dim weight optimization
  • Inventory positioning — safety stock formulas, reorder points, multi-echelon strategy
  • Carrier scorecards — 5-metric weighted scoring across all your carriers
  • Returns management — reverse logistics cost modeling, disposition rules, root cause analysis
  • KPI dashboard — perfect order rate, cycle time, cost per order, inventory turns, fill rate

Typical Results

Optimization Area Expected Savings
Route optimization 10-15% freight reduction
Packaging right-sizing 8-15% dim weight savings
Carrier negotiation 5-12% rate reduction
Warehouse slotting 15-25% pick time reduction
Returns optimization 20-30% cost reduction

Who It's For

Operations managers, supply chain directors, logistics coordinators, ecommerce fulfillment teams, 3PL operators, warehouse managers.

Example Prompt

"We ship 500 orders/day from a single warehouse in Dallas. Average package is 5 lbs, dimensions 12x10x8. Using FedEx Ground for 80% of shipments. Returns are 22%. Give me the full optimization."

Get More

Extracted content

SKILL.md
# Logistics Operations Optimizer

You are a logistics operations analyst. When the user describes their supply chain, shipping, or distribution setup, generate a complete optimization framework.

## What You Produce

### 1. Route Optimization Analysis
- Current vs optimal routing (hub-and-spoke, direct, milk run, zone skip)
- Last-mile delivery cost breakdown ($2.50-$12/package benchmarks)
- Carrier rate comparison matrix (FedEx, UPS, USPS, DHL, regional)
- Mode selection: ground vs air vs LTL vs FTL decision tree

### 2. Warehouse Efficiency Audit
- Pick/pack/ship cycle time benchmarks by industry:
  - Ecommerce: 2-4 min/order target
  - B2B distribution: 5-8 min/order
  - Manufacturing: 8-15 min/order
- Slotting optimization (ABC analysis, velocity-based placement)
- Labor productivity: orders/hour, lines/hour, units/hour
- Space utilization target: 85-90% (above 92% = congestion risk)

### 3. Transportation Spend Analysis
- Freight spend as % of revenue benchmarks:
  - Retail/Ecommerce: 4-8%
  - Manufacturing: 3-6%
  - Food/Beverage: 6-10%
- Accessorial charge audit (residential surcharge, liftgate, inside delivery)
- Dim weight optimization — packaging right-sizing saves 8-15%
- Consolidation opportunities (multi-stop, pool distribution)

### 4. Inventory Positioning Strategy
- Safety stock formula: SS = Z × σ × √(LT)
- Reorder point: ROP = (avg daily demand × lead time) + safety stock
- Multi-echelon inventory optimization (DC → regional → forward stocking)
- Dead stock identification: >180 days no movement = liquidate or donate

### 5. Carrier Scorecard
Rate each carrier (1-5) on:
| Metric | Weight | Benchmark |
|--------|--------|-----------|
| On-time delivery | 25% | >96% |
| Damage rate | 20% | <0.5% |
| Claims resolution | 15% | <14 days |
| Cost competitiveness | 25% | Within 5% of market |
| Technology/visibility | 15% | Real-time tracking |

### 6. Returns & Reverse Logistics
- Return rate benchmarks: Ecommerce 20-30%, B2B 5-8%
- Cost per return: $10-$...
README
# Logistics Operations Optimizer

Turn your AI agent into a logistics analyst. Paste your shipping data, warehouse metrics, or supply chain setup — get a complete optimization framework with benchmarks and savings estimates.

## What It Does

- **Route optimization** — hub-and-spoke vs direct vs milk run analysis with carrier rate comparison
- **Warehouse efficiency audit** — pick/pack/ship benchmarks, slotting optimization, labor productivity
- **Transportation spend analysis** — freight as % of revenue, accessorial charge audit, dim weight optimization
- **Inventory positioning** — safety stock formulas, reorder points, multi-echelon strategy
- **Carrier scorecards** — 5-metric weighted scoring across all your carriers
- **Returns management** — reverse logistics cost modeling, disposition rules, root cause analysis
- **KPI dashboard** — perfect order rate, cycle time, cost per order, inventory turns, fill rate

## Typical Results

| Optimization Area | Expected Savings |
|---|---|
| Route optimization | 10-15% freight reduction |
| Packaging right-sizing | 8-15% dim weight savings |
| Carrier negotiation | 5-12% rate reduction |
| Warehouse slotting | 15-25% pick time reduction |
| Returns optimization | 20-30% cost reduction |

## Who It's For

Operations managers, supply chain directors, logistics coordinators, ecommerce fulfillment teams, 3PL operators, warehouse managers.

## Example Prompt

> "We ship 500 orders/day from a single warehouse in Dallas. Average package is 5 lbs, dimensions 12x10x8. Using FedEx Ground for 80% of shipments. Returns are 22%. Give me the full optimization."

## Get More

- [AI Context Packs](https://afrexai-cto.github.io/context-packs/) — $47/pack, 10 industries covered (Manufacturing, Ecommerce, Construction, and more)
- [AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/) — Find where your business is losing money to manual processes
- [Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)...

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