Dataleo
HomeNewsJobsAlertsInsightsTutorialsEcosystemAbout
Experts
EN·Also available in French — switch via the flag
S
Expert

Samir Saci

Supply ChainData ScienceDemand ForecastingInventory OptimizationLogistics AnalyticsPythonMachine Learning
Website
About
Samir Saci is a Supply Chain engineer and data science practitioner who publishes practical tutorials on forecasting, logistics, inventory optimization, sustainability and AI-enabled operational workflows. His work focuses on translating analytical methods and Python models into applied Supply Chain use cases.
Dataleo perspective
Samir Saci helps bridge the gap between Supply Chain domain expertise and practical AI implementation. His tutorials are valuable learning assets and prototypes; production deployment still requires enterprise integration, governance, monitoring and clear decision ownership.
Related content

Around Samir Saci (1)