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This paper examines seller strategies for dynamic pricing in an auction-driven marketplace.Specifically, this paper focuses on the airline industry, a field experienced in demand forecasting and dynamic pricing capabilities.Our goal is to discover the relevant factors when a seller dynamically evaluates incoming bids on a finite number of goods.We present two adaptive pricing strategies and evaluate them using a market simulator.
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Stored only when both papers are in the corpus — 34 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.