AI RESEARCH
Anchor-and-Resume Concession Under Dynamic Pricing for LLM-Augmented Freight Negotiation
arXiv CS.CL
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ArXi:2604.20732v1 Announce Type: cross Freight brokerages negotiate thousands of carrier rates daily under dynamic pricing conditions where models frequently revise targets mid-conversation. Classical time-dependent concession frameworks use a fixed shape parameter $\beta$ that cannot adapt to these updates. Deriving $\beta$ from the live spread enables adaptation but We propose a two-index anchor-and-resume framework that addresses both limitations.