Latency-Aware Bid Acceptance under Operational Feasibility: A Public Benchmark with Hindsight Ceilings
arXiv:2607.07343v1 Announce Type: new Abstract: Online truckload bid acceptance is a closed-loop stochastic decision problem in which a carrier or broker must, in real time, accept or reject a tendered load subject to operational feasibility, fleet repositioning costs, and opportunity cost against future demand. Public, reproducible benchmarks for this problem are scarce: existing routing benchmarks are static, while dynamic-fleet studies typically rely on private operator data. We introduce FreightBidBench, a public-calibrated, dependency-free, closed-loop benchmark in which feasibility (pick
The proliferation of AI in logistics necessitates more sophisticated and publicly available benchmarks for real-time decision-making, which this benchmark addresses.
This benchmark provides a standardized, reproducible platform for developing and evaluating AI agents in complex logistics, improving efficiency and operational intelligence in a critical sector.
The availability of FreightBidBench will standardize research and development in online truckload bid acceptance, allowing for clearer comparisons and faster progress in AI-driven logistics optimization.
- · Logistics companies
- · AI/ML researchers
- · Supply chain software developers
- · Companies relying on proprietary, opaque logistics systems
Improved algorithmic efficiency for real-time logistics and freight management.
Reduced operational costs and increased profitability for carriers and brokers adopting advanced AI solutions.
Enhanced resilience and responsiveness of global supply chains due to optimized freight movement.
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Read at arXiv cs.LG