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20 KiB
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<meta name="title" content="PHANTOM: Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms">
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<meta name="description" content="Developing pricing heuristics to protect e-commerce platforms from systematic exploitation by LLM agents in dynamic pricing environments through behavioral signature detection.">
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<meta name="keywords" content="dynamic pricing, LLM agents, e-commerce security, behavioral detection, pricing heuristics, recommendation systems, agent detection, AI security, pricing integrity">
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<meta name="author" content="Daniel Alves Rösel">
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<p>Brief description of the work and its main contribution.</p>
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<span class="work-venue">Conference/Journal 2024</span>
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<div class="work-info">
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<h5>Paper Title 2</h5>
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<p>Brief description of the work and its main contribution.</p>
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<span class="work-venue">Conference/Journal 2023</span>
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<a href="https://arxiv.org/abs/PAPER_ID_3" class="work-item" target="_blank">
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<div class="work-info">
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<h5>Paper Title 3</h5>
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<p>Brief description of the work and its main contribution.</p>
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<span class="work-venue">Conference/Journal 2023</span>
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<div class="columns is-centered">
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<div class="column has-text-centered">
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<h1 class="title is-1 publication-title">Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms</h1>
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<div class="is-size-5 publication-authors">
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<span class="author-block">
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<a href="https://alves.world" target="_blank">Daniel Rösel</a></span>
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</div>
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<div class="is-size-5 publication-authors">
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<span class="author-block">IE University<br>Bachelor's Thesis 2025</span>
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<span class="eql-cntrb"><small><br>Advisor: <a href="SECOND AUTHOR PERSONAL LINK" target="_blank">Alberto Martín Izquierdo</a></small></span>
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</div>
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<div class="column has-text-centered">
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<div class="publication-links">
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<!-- TODO: Update with your arXiv paper ID -->
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<a href="https://arxiv.org/pdf/<ARXIV PAPER ID>.pdf" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<span class="icon">
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<i class="fas fa-file-pdf"></i>
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<span>Paper</span>
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</a>
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</span>
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<span class="link-block">
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class="external-link button is-normal is-rounded is-dark">
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<i class="fas fa-file-pdf"></i>
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<span>Supplementary</span>
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</a>
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</span>
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<span class="link-block">
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<a href="https://github.com/velocitatem/PHANTOM" target="_blank"
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<i class="fab fa-github"></i>
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<span>Code</span>
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<a href="https://arxiv.org/abs/<ARXIV PAPER ID>" target="_blank"
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class="external-link button is-normal is-rounded is-dark">
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<i class="ai ai-arxiv"></i>
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<source src="static/videos/banner_video.mp4" type="video/mp4">
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Aliquam vitae elit ullamcorper tellus egestas pellentesque. Ut lacus tellus, maximus vel lectus at, placerat pretium mi. Maecenas dignissim tincidunt vestibulum. Sed consequat hendrerit nisl ut maximus.
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<h2 class="title is-3">Abstract</h2>
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<div class="content has-text-justified">
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<p>
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The primary objective of this thesis is to develop and validate pricing heuristics that protect e-commerce platforms from systematic exploitation by Large Language Model (LLM) agents within dynamic pricing environments. As AI agents increasingly mediate consumer transactions, they enable users to circumvent the Cost of Information (the price premium accumulated through demand signal expression) by conducting reconnaissance in isolated sessions before executing purchases through clean sessions at base prices. This research will make an anticipatory contribution by adapting recommendation system methodologies to distinguish between genuine human browsing behaviour and agent-orchestrated information gathering, thereby enabling pricing systems to maintain margin integrity without degrading the user experience for legitimate customers or getting rid of leads generated by LLMs.
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<pre id="bibtex-code"><code>@thesis{Rosel2025PHANTOM,
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title={Pricing Heuristics Against Non-human Transaction Orchestration Mechanisms},
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author={R{\"o}sel, Daniel},
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school={IE University},
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year={2025},
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address={Madrid, Spain},
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type={Bachelor's Thesis},
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note={Advisor: Alberto Mart{\'i}n Izquierdo}
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