Carrier Selection Optimizer
SkillDev toolsAutomated carrier evaluation and selection skill using multi-criteria decision analysis for optimal freight procurement
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Carrier Selection Optimizer skill
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/logistics/skills/carrier-selection-optimizer/SKILL.md and read by ahel’s review.
Overview
The Carrier Selection Optimizer is an automated skill that evaluates and selects optimal carriers for freight shipments using multi-criteria decision analysis. It combines performance metrics, cost analysis, capacity availability, and service level requirements to recommend the best carrier for each shipment while supporting strategic procurement decisions.
Capabilities
- Carrier Performance Scoring: Calculate and maintain composite performance scores based on on-time delivery, damage rates, and customer feedback
- Rate Comparison and Analysis: Compare contracted rates, spot rates, and accessorial charges across carriers for cost optimization
- Capacity Availability Checking: Real-time verification of carrier capacity and equipment availability for requested lanes and dates
- Service Level Matching: Match shipment requirements with carrier capabilities including transit times, handling requirements, and special services
- Historical Performance Benchmarking: Analyze carrier performance trends and compare against industry benchmarks
- Contract Compliance Validation: Verify that carrier selections comply with contracted terms, volume commitments, and business rules
- Spot Rate Negotiation Support: Provide market intelligence and historical data to support spot rate negotiations
Tools and Libraries
- TMS APIs
- Carrier Rating Databases
- Procurement Analytics Platforms
- EDI Integration Libraries
Used By Processes
- Carrier Selection and Procurement
- Freight Audit and Payment
- Shipment Tracking and Visibility
Usage
skill: carrier-selection-optimizer
inputs:
shipment:
origin: "Chicago, IL"
destination: "Los Angeles, CA"
weight_lbs: 15000
freight_class: 70
pickup_date: "2026-02-01"
delivery_date: "2026-02-05"
equipment_type: "dry_van"
special_requirements: ["liftgate", "appointment_delivery"]
selection_criteria:
priority: "cost" # or "service" or "balanced"
min_carrier_score: 85
preferred_carriers: ["CARRIER001", "CARRIER002"]
outputs:
recommendations:
- carrier_id: "CARRIER001"
carrier_name: "ABC Logistics"
rate: 2150.00
transit_days: 3
performance_score: 92
on_time_rate: 96.5
recommendation_rank: 1
- carrier_id: "CARRIER003"
carrier_name: "XYZ Transport"
rate: 2050.00
transit_days: 4
performance_score: 88
on_time_rate: 94.2
recommendation_rank: 2
Integration Points
- Transportation Management Systems (TMS)
- Carrier Portals and APIs
- Rate Management Systems
- Procurement Platforms
- Performance Management Systems
Performance Metrics
- Carrier cost savings percentage
- Service level achievement rate
- Carrier compliance rate
- Time to carrier selection
- Rate accuracy percentage
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
carrier-selection-optimizer- Source
- github.com/a5c-ai/babysitter
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