Claims in logistics, especially for lost parcels or delivery issues, can be a significant cost for companies. In this talk, we’ll present the framework and share some early results of a new feature within TrustCourier. This feature uses machine learning to predict and flag high-risk deliveries before they escalate into costly claims.
talk-data.com
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Speaker
Claudia Stangarone
1
talks
Data analyst
GLS Studio
Claudia is a data analyst at GLS Studio, with a strong interest in machine learning and data engineering. With a PhD in mineral physics, she switched from a career in geo and planetary science a few years ago. Her goal is to strike the perfect balance between technology and science.
Bio from: January Members Talk evening
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