OTM Machine Learning by Evelyn Mei and Srini Rajagopal (Oracle)

Presentation on the 2021 OTM User Conference Europe on 26 March 2021 by Srini Rajagopal (Senior Director, Logistics Product Strategy, Oracle) and Evelyn Mei (Senior Product Strategy Manager, Oracle)

Abstract: In Update 21A, Oracle Transportation Management (OTM) Cloud is enhanced with the ability to provide Machine Learning-based shipment transit time predictions. Leveraging the rich shipment histories in OTM, this capability identifies shipments truly-at-risk and provides customers with accurate Estimated Time of Arrival (ETA) predictions. Join this session to learn about this capability and watch a product demonstration.

Bio: Srini Rajagopal is Senior Director, Logistics Product Strategy at Oracle. He has responsibility for the team that leads the strategy for Oracle Transportation Management and Global Trade Management. Srini was part of the G-Log team and came to Oracle in 2005 as part of the G-Log acquisition.

Bio: Evelyn Mei is a Senior Product Strategy Manager for OTM-GTM Cloud. She contributed to the development of the Digital Assistant and Machine Learning capabilities of OTM. Prior to Oracle, she was a graduate student at Stanford University.