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Oracle WMS Cloud AI/ML Features for Outbound Logistics

WHEN: Thursday, April 17th 

The session aims to educate users about the potential of AI and machine learning to optimize warehousing operations. Key topics include the Market Basket Analysis feature, which uses machine learning to identify products frequently ordered together to optimize warehouse slotting and reduce picker travel time, and the Predictive Fulfillment Dashboard, which leverages AI to predict order cycle times and identify at-risk orders. The session also highlights practical implementation tips and the importance of continuous improvement through Oracle's quarterly updates. The webinar encourages user interaction and questions, and emphasizes that these AI features come standard with Oracle WMS, requiring no additional licensing.
 

Key takeaways include:

Market Basket Analysis: Predict which items are frequently ordered together, allowing you to structure your inventory and slotting positions more efficiently. 
Market Basket Analysis: Predict which items are frequently ordered together, allowing you to structure your inventory and slotting positions more efficiently.
Predictive fulfillment dashboard: View order cycle time predictions and identify orders that may be at risk. And more!
Predictive fulfillment dashboard: View order cycle time predictions and identify orders that may be at risk. And more!

Register to watch the full recording

Speakers

Jon McGee Jonathan McGee
Jon McGee
Oracle Cloud SCM/WMS Architect GoSaaS, Inc.

Jon is an experienced Oracle ERP professional with over 13 years of expertise in WMS and SCM implementations across Cloud and EBS, including 7+ years as an independent consultant. With a strong blend of functional and technical skills, he specializes in designing creative solutions to complex business challenges while bridging technology and business processes. Jon is passionate about building strong client relationships and driving innovation in ERP systems. He holds a B.S. in Information Technology, graduating summa cum laude.

Robby Espinosa Robby
Robby Espinosa
Solution Sales Executive, Oracle Corporation

With 20 years of experience in the supply chain industry, Robby is passionate about streamlining supply chains across the Retail, Wholesale and Distribution, Manufacturing, and CPG sectors. He firmly believes that supply chains are critical business differentiators and has witnessed firsthand how they provide a competitive edge for businesses. Throughout his career, Robby has designed and implemented innovative supply chain solutions, developed products, and sold supply chain management software to Fortune 100 companies. A proud graduate of the Georgia Institute of Technology (MBA and undergraduate degrees), Robby thrives in global teams, solving complex warehousing challenges through innovation. Currently, as a Solution Sales Executive at Oracle, Robby oversees the design, development, and go-to-market strategies for Oracle’s Cloud WMS product. He works to integrate cutting-edge technologies such as IoT, Machine Learning, and Blockchain to drive the product from concept to market.