Logistics kpi tracker

Skill a5c-ai/babysitter/library/specializations/domains/business/logistics/skills/logistics-kpi-tracker

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Comprehensive logistics performance measurement skill with KPI tracking, benchmarking, and improvement recommendations

SKILL.md

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Logistics KPI Tracker

Overview

The Logistics KPI Tracker provides comprehensive logistics performance measurement with KPI tracking, benchmarking, and improvement recommendations. It monitors key metrics across all logistics functions and identifies opportunities for operational improvement.

Capabilities

OTIF (On-Time In-Full) Tracking: Track on-time and in-full delivery performance against commitments
Perfect Order Rate Calculation: Calculate perfect order rates considering all order fulfillment dimensions
Fill Rate Analysis: Monitor fill rates at order, line, and unit levels
Order Cycle Time Measurement: Track order cycle times from order placement to delivery
Cost Per Order/Unit Tracking: Calculate and monitor logistics costs at various levels
Benchmark Comparison: Compare performance against industry benchmarks and best practices
Improvement Opportunity Identification: Identify areas for operational improvement based on KPI analysis

Tools and Libraries

BI Platforms (Tableau, Power BI)
Data Warehousing
Logistics Dashboards
Statistical Analysis Libraries

Used By Processes

All logistics processes (cross-cutting)

Usage

skill: logistics-kpi-tracker
inputs:
  reporting_period:
    start: "2026-01-01"
    end: "2026-01-24"
  data_sources:
    orders: true
    shipments: true
    inventory: true
    costs: true
  benchmarks:
    otif: 95.0
    perfect_order_rate: 90.0
    fill_rate: 98.0
    order_cycle_time_days: 3.0
    cost_per_order: 12.50
  comparison:
    prior_period: true
    prior_year: true
outputs:
  kpi_summary:
    otif:
      actual: 93.5
      target: 95.0
      variance: -1.5
      trend: "improving"
      prior_period: 92.8
      prior_year: 91.2
    perfect_order_rate:
      actual: 88.2
      target: 90.0
      variance: -1.8
      trend: "stable"
      components:
        on_time: 93.5
        in_full: 96.2
        damage_free: 99.1
        accurate_documentation: 98.5
    fill_rate:
      actual: 97.5
      target: 98.0
      variance: -0.5
      trend: "stable"
    order_cycle_time:
      actual_days: 2.8
      target_days: 3.0
      variance: 0.2
      trend: "improving"
    cost_per_order:
      actual: 11.85
      target: 12.50
      variance: 0.65
      trend: "improving"
  performance_breakdown:
    by_channel:
      ecommerce: { otif: 91.2, fill_rate: 96.8 }
      wholesale: { otif: 95.8, fill_rate: 98.2 }
      retail: { otif: 94.1, fill_rate: 97.8 }
    by_region:
      northeast: { otif: 94.5, fill_rate: 98.1 }
      southeast: { otif: 92.8, fill_rate: 97.0 }
      midwest: { otif: 93.9, fill_rate: 97.5 }
  improvement_opportunities:
    - area: "On-Time Delivery"
      current: 93.5
      target: 95.0
      gap: 1.5
      root_causes:
        - "Carrier performance in Southeast region"
        - "Dock congestion at DC002"
      recommendations:
        - "Carrier performance review with underperformers"
        - "Implement dock scheduling system at DC002"
      potential_improvement: 2.0
    - area: "Fill Rate"
      current: 97.5
      target: 98.0
      gap: 0.5
      root_causes:
        - "Safety stock levels insufficient for high-velocity items"
      recommendations:
        - "Review and adjust safety stock for A-class items"
      potential_improvement: 0.8

Integration Points

Enterprise Resource Planning (ERP)
Warehouse Management Systems (WMS)
Transportation Management Systems (TMS)
Order Management Systems
Business Intelligence Platforms

Performance Metrics

OTIF percentage
Perfect order rate
Fill rate
Order cycle time
Cost per order