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Building a More Cost-Effective, Responsive Supply Chain With NetSuite

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Content provided by NetSuite. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by NetSuite or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Unlock improvements across your supply chain with NetSuite Supply Chain Management solutions: https://bit.ly/3KYCeSS

Chris Benner, a vertical product manager for retail at NetSuite, joins co-host Ian McCue to share ideas on how businesses can better manage their supply chains. Chris touches on the importance of internal and external data in inventory forecasting (3:37) and how economic uncertainty impacts inventory management strategies (8:13). He explains where spreadsheets fall short with demand and supply planning (14:32) before highlighting metrics products companies should watch closely right now (15:43). Chris then breaks down several NetSuite solutions that can help businesses strike the right balance with inventory (20:49), sharing the stories of multiple customers that have seen success with the system (24:07) and where financial solutions like NetSuite AP Automation can help (27:06). With AI dominating the news, he explains potential applications of this technology in the supply chain and how NetSuite uses machine learning (31:02). The retail industry veteran covers common challenges when working with external partners and potential solutions (35:04). To close, he suggests a few supply chain priorities for organizations in the face of such uncertainty (40:22).

Like what you learned? Subscribe now!

Follow Us Here:

Chris Benner: https://www.linkedin.com/in/chris-benner-b991045/

Oracle NetSuite

LinkedIn: http://bit.ly/NetSuiteLI

Facebook: http://bit.ly/NetSuiteFB

Instagram: http://bit.ly/NetSuiteIG

Twitter: http://bit.ly/NetSuiteTW

#NetSuite #NetSuiteERP #supplychain #SCM

  continue reading

135 episoade

Artwork
iconDistribuie
 
Manage episode 363362827 series 2528251
Content provided by NetSuite. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by NetSuite or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

Unlock improvements across your supply chain with NetSuite Supply Chain Management solutions: https://bit.ly/3KYCeSS

Chris Benner, a vertical product manager for retail at NetSuite, joins co-host Ian McCue to share ideas on how businesses can better manage their supply chains. Chris touches on the importance of internal and external data in inventory forecasting (3:37) and how economic uncertainty impacts inventory management strategies (8:13). He explains where spreadsheets fall short with demand and supply planning (14:32) before highlighting metrics products companies should watch closely right now (15:43). Chris then breaks down several NetSuite solutions that can help businesses strike the right balance with inventory (20:49), sharing the stories of multiple customers that have seen success with the system (24:07) and where financial solutions like NetSuite AP Automation can help (27:06). With AI dominating the news, he explains potential applications of this technology in the supply chain and how NetSuite uses machine learning (31:02). The retail industry veteran covers common challenges when working with external partners and potential solutions (35:04). To close, he suggests a few supply chain priorities for organizations in the face of such uncertainty (40:22).

Like what you learned? Subscribe now!

Follow Us Here:

Chris Benner: https://www.linkedin.com/in/chris-benner-b991045/

Oracle NetSuite

LinkedIn: http://bit.ly/NetSuiteLI

Facebook: http://bit.ly/NetSuiteFB

Instagram: http://bit.ly/NetSuiteIG

Twitter: http://bit.ly/NetSuiteTW

#NetSuite #NetSuiteERP #supplychain #SCM

  continue reading

135 episoade

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