Dispatch Optimization Workflow
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Quick Answer
The Dispatch Optimization Workflow uses AI to match loads with optimal carriers based on cost, capacity, service level, on-time performance, and special handling requirements. AI evaluates carrier options, predicts delivery performance, and recommends optimal carrier selection.
Definition
Key Points
- Evaluates available carriers against load requirements
- Balances cost optimization with service level requirements
- Considers carrier capacity and equipment availability
- Analyzes carrier performance history: on-time rate, damage rate
- Matches special handling requirements to carrier capabilities
- Predicts delivery performance for each carrier option
- Optimizes for customer SLAs and cost targets
- Reduces freight costs by 12-18% vs. manual dispatch
How It Works
Load Requirements Analysis
Extract load requirements: origin/destination, delivery date, weight/dimensions, temperature control, hazmat, special handling.
Available Carriers
Query carrier network for available capacity: equipment type, pickup availability, lane coverage, rate quotes.
Carrier Qualification
Filter carriers by qualification: equipment match, capacity availability, lane coverage, insurance requirements, special certifications.
Performance Scoring
Score each qualified carrier: on-time delivery rate, damage rate, communication responsiveness, claims history, overall reliability.
Cost Analysis
Evaluate cost: base rate, accessorials, fuel surcharge, total landed cost. Compare against budget and target margins.
Service Level Matching
Match carrier service level to customer requirements: expedited, standard, economy. Ensure delivery date achievable.
Recommendation & Ranking
Rank carriers by overall score combining cost, performance, and service level fit. Provide top 3 recommendations.
Automated Dispatch
If top carrier meets all criteria and cost threshold, auto-dispatch. Otherwise, present recommendations to dispatcher for approval.