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Last mile delivery optimizer

Skill a5c-ai/babysitter/library/specializations/domains/business/logistics/skills/last-mile-delivery-optimizer

Final delivery leg optimization skill including dynamic scheduling, time-window management, and delivery confirmationFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill last-mile-delivery-optimizer

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SKILL.md

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Last-Mile Delivery Optimizer

Overview

The Last-Mile Delivery Optimizer focuses on the final delivery leg optimization including dynamic scheduling, time-window management, and delivery confirmation. It maximizes delivery density, manages customer expectations, and coordinates various delivery methods including traditional carriers and crowdsourced options.

Capabilities

  • Delivery Density Optimization: Maximize deliveries per route by clustering nearby addresses
  • Time Window Scheduling: Schedule deliveries within customer-preferred time windows
  • Driver Dispatch Optimization: Assign deliveries to drivers based on location, capacity, and skills
  • Proof of Delivery Automation: Capture signatures, photos, and timestamps for delivery confirmation
  • Failed Delivery Management: Handle failed deliveries including rescheduling and alternative locations
  • Customer Communication Integration: Send proactive updates on delivery status and ETA
  • Crowdsourced Delivery Coordination: Integrate with gig economy platforms for flexible capacity

Tools and Libraries

  • Routing APIs
  • Last-Mile Platforms
  • Driver Apps
  • Customer Notification Systems

Used By Processes

  • Last-Mile Delivery Optimization
  • Route Optimization
  • Multi-Channel Fulfillment

Usage

skill: last-mile-delivery-optimizer
inputs:
  deliveries:
    - delivery_id: "DEL001"
      address: "123 Main St, Boston, MA"
      coordinates: { lat: 42.3601, lng: -71.0589 }
      time_window: { start: "14:00", end: "18:00" }
      packages: 2
      special_instructions: "Leave at front door"
      customer_phone: "+1-555-0123"
    - delivery_id: "DEL002"
      address: "456 Oak Ave, Boston, MA"
      coordinates: { lat: 42.3651, lng: -71.0549 }
      time_window: { start: "10:00", end: "14:00" }
      packages: 1
      signature_required: true
  drivers:
    - driver_id: "DRV001"
      current_location: { lat: 42.3501, lng: -71.0650 }
      capacity_packages: 50
      shift_end: "20:00"
      skills: ["signature_capture", "heavy_items"]
  optimization_parameters:
    optimize_for: "delivery_density"
    max_route_time_hours: 8
    customer_notification: true
outputs:
  delivery_routes:
    - driver_id: "DRV001"
      route:
        - delivery_id: "DEL002"
          sequence: 1
          eta: "11:30"
          eta_window: { start: "11:15", end: "11:45" }
        - delivery_id: "DEL001"
          sequence: 2
          eta: "15:30"
          eta_window: { start: "15:15", end: "15:45" }
      total_deliveries: 2
      total_distance_km: 12.5
      estimated_completion: "16:00"
  customer_notifications:
    - delivery_id: "DEL001"
      notification_type: "eta_update"
      scheduled_time: "14:00"
      message: "Your delivery is on the way. Expected arrival: 3:30 PM"
  metrics:
    deliveries_per_route: 15.5
    average_delivery_time_minutes: 8
    on_time_delivery_rate: 96.5

Integration Points

  • Transportation Management Systems (TMS)
  • Order Management Systems
  • Customer Communication Platforms
  • Driver Mobile Apps
  • GPS/Telematics Systems

Performance Metrics

  • Deliveries per route
  • On-time delivery rate
  • First-attempt success rate
  • Cost per delivery
  • Customer satisfaction score

What ships with it

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Just SKILL.md. No reference files, no scripts.

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