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UID:pretalx-pyconde-pydata-2025-N9CAUM@pretalx.com
DTSTART;TZID=CET:20250423T143000
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DESCRIPTION:This talk introduces supplyseer\, an open-source Python library
  that brings advanced analytics to Supply Chain and Logistics. By combinin
 g time series embedding techniques\, stochastic process modeling\, and geo
 political risk analysis\, supplyseer helps organizations make data-driven 
 decisions in an increasingly complex global supply chain landscape. The li
 brary implements novel approaches like Takens embedding for demand forecas
 ting\, Hawkes processes for modeling supply chain events\, and Bayesian me
 thods for inventory optimization. Through practical examples and real-worl
 d use cases\, we'll explore how these mathematical concepts translate into
  actionable insights for supply chain practitioners.
DTSTAMP:20260717T113843Z
LOCATION:Dynamicum
SUMMARY:supplyseer: Computational Supply Chain with Python - Jako Rostami
URL:https://pretalx.com/pyconde-pydata-2025/talk/N9CAUM/
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