AI Logistics Optimization
NSGA-II Pareto multi-objective algorithm
Optimize your logistics flows with the NSGA-II Pareto algorithm. Balance cost, delay, CO2 and fill rate simultaneously. Deliver on commitments while saving 15-30% on transport costs.
Multi-objective optimization with Pareto frontier
Traditional optimization picks one objective (lowest cost) and ignores others. NSGA-II Pareto computes a frontier of optimal solutions that balance all objectives. You see the trade-offs: a 5% cheaper plan that adds 12 hours of delay, or a 8% more expensive plan that cuts CO2 by 30%. Choose the solution that matches your strategy. Algorithms run in under 30 seconds even for 10,000+ shipments.
- NSGA-II algorithm for true multi-objective optimization
- Cost vs delay vs CO2 vs fill rate trade-offs
- Pareto frontier visualization for decision-making
- <30 second runtime for 10,000+ shipments
- Configurable objective weights per scenario
Constraints and business rules
The optimizer respects all your operational constraints: vehicle types and capacities, driver hours-of-service (EU regulation), customer time windows, dock availability, hazmat requirements, ADR/IMDG rules, dedicated contracts. Custom rules can be added per shipper or customer (e.g. "always use Carrier X for Customer Y on Mondays").
- Vehicle types, capacities and ADR support
- EU driver hours-of-service compliance
- Customer time windows and dock availability
- Hazmat (ADR road, IMDG sea) routing
- Custom business rules per shipper/customer
CO2 footprint reduction
Transport accounts for ~30% of EU CO2 emissions. Optimizing routes and fill rates is the highest-leverage action. SYMPHONI.A computes CO2 per shipment using GLEC framework methodology and lets you set CO2 reduction targets. Reports per route, per customer, per quarter help you communicate with sustainability stakeholders and meet CSRD reporting requirements.
- GLEC-compliant CO2 calculation per shipment
- CO2 reduction objective in optimizer
- Quarterly CO2 reports per route/customer
- CSRD-ready sustainability reporting
- Comparison with rail/multimodal alternatives
Key benefits
NSGA-II Pareto multi-objective optimization
15-30% transport cost reduction
10-25% CO2 footprint reduction
Driver hours-of-service compliance built-in
Custom business rules per shipper/customer
GLEC + CSRD-ready sustainability reporting
Frequently asked questions about AI Logistics Optimization
What is NSGA-II Pareto?
NSGA-II (Non-dominated Sorting Genetic Algorithm) is a state-of-the-art multi-objective optimization algorithm. Instead of forcing one objective, it computes a Pareto frontier of optimal trade-offs between cost, delay, CO2 and fill rate.
How long does optimization take?
Less than 30 seconds for 10,000+ shipments on standard hardware. Larger problems can be split into geographic clusters and parallelized.
Does it respect EU driver hours-of-service?
Yes. The optimizer is fully aware of EU regulation 561/2006 (driving time, breaks, weekly rest). It refuses any plan that would violate driver HOS limits.
Can I add custom business rules?
Yes. Rules can be configured per shipper, per customer, per route. Example: "Customer X always requires refrigerated transport" or "Avoid Carrier Y on hazmat shipments".
How is CO2 calculated?
CO2 is computed per shipment using the GLEC framework methodology, accounting for vehicle type, fuel type, distance, payload and emission factors. Compliant with the EU CountEmissions framework.
Can the optimizer suggest multimodal alternatives?
Yes. For long-haul routes, the optimizer can compare road-only vs rail-truck vs sea-truck combinations and surface CO2 and cost trade-offs.
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