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Real-Time Supply Chain Planning with Manhattan Associates' Scott Fenwick & Ryan Gifford

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Manage episode 436658743 series 3376229
Content provided by Harshida Acharya, Fulfillment IQ, Ninaad Acharya, and Dan Coll. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harshida Acharya, Fulfillment IQ, Ninaad Acharya, and Dan Coll 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://player.fm/legal.

ABOUT THE GUESTS

Scott Fenwick is a seasoned expert in supply chain planning with nearly 30 years of experience. He currently leads product strategy at Manhattan Associates, where he has been instrumental in driving technological advancements in supply chain solutions. Scott’s extensive background in software development and leadership roles across various facets of supply chain management makes him a key figure in the industry.

Ryan Gifford serves as a Senior Director at Manhattan Associates, specializing in forecasting, replenishment, and allocation. With a strong foundation in category management and software development, Ryan has played a pivotal role in advancing Manhattan’s supply chain solutions over the past six years. His expertise spans both retail and logistics, making him a vital contributor to Manhattan Active's latest innovations.

HIGHLIGHTS

[00:03:00] - Introduction of Manhattan Active Supply Chain Planning and its unified platform.

[00:05:16] - Shift from batch jobs to real-time processing in supply chain management.

[00:06:36] - Impact of AI and machine learning on decision-making.

[00:09:07] - Gen AI's role in enhancing user interaction with supply chain systems.

[00:12:39] - Benefits of integrating planning and execution on one platform.

[00:20:19] - Future trends in supply chain management, emphasizing faster access to data and decision-making.

QUOTES

[00:05:16] - "Bye-bye, batch jobs! We’re moving to real-time systems, reacting dynamically to changes throughout the day." — Scott Fenwick

[00:06:36] - "AI and machine learning enable us to leverage data in ways that were nearly impossible just a few years ago, driving better decisions at scale." — Ryan Gifford

[00:09:07] - "Gen AI will fundamentally change how users interact with supply chain systems, making it possible to have natural language conversations with your data." — Scott Fenwick

[00:13:19] - "With real-time information, we’re not just responding faster; we’re making more meaningful decisions that impact the entire day’s operations." — Ryan Gifford

[00:20:19] - "The faster we can see data, the quicker we can respond to it, enabling teams to work smarter and faster." — Ryan Gifford

[00:23:03] - "We see a big organizational change coming, where silos are reduced, and decisions are better coordinated between planning and execution." — Scott Fenwick

FIND MORE ABOUT THE GUESTS

Scott Fenwick: LinkedIn

Ryan Gifford: LinkedIn

Manhattan Associates Website: Manhattan Active Supply Chain Planning

  continue reading

85 episodes

Artwork
iconShare
 
Manage episode 436658743 series 3376229
Content provided by Harshida Acharya, Fulfillment IQ, Ninaad Acharya, and Dan Coll. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harshida Acharya, Fulfillment IQ, Ninaad Acharya, and Dan Coll 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://player.fm/legal.

ABOUT THE GUESTS

Scott Fenwick is a seasoned expert in supply chain planning with nearly 30 years of experience. He currently leads product strategy at Manhattan Associates, where he has been instrumental in driving technological advancements in supply chain solutions. Scott’s extensive background in software development and leadership roles across various facets of supply chain management makes him a key figure in the industry.

Ryan Gifford serves as a Senior Director at Manhattan Associates, specializing in forecasting, replenishment, and allocation. With a strong foundation in category management and software development, Ryan has played a pivotal role in advancing Manhattan’s supply chain solutions over the past six years. His expertise spans both retail and logistics, making him a vital contributor to Manhattan Active's latest innovations.

HIGHLIGHTS

[00:03:00] - Introduction of Manhattan Active Supply Chain Planning and its unified platform.

[00:05:16] - Shift from batch jobs to real-time processing in supply chain management.

[00:06:36] - Impact of AI and machine learning on decision-making.

[00:09:07] - Gen AI's role in enhancing user interaction with supply chain systems.

[00:12:39] - Benefits of integrating planning and execution on one platform.

[00:20:19] - Future trends in supply chain management, emphasizing faster access to data and decision-making.

QUOTES

[00:05:16] - "Bye-bye, batch jobs! We’re moving to real-time systems, reacting dynamically to changes throughout the day." — Scott Fenwick

[00:06:36] - "AI and machine learning enable us to leverage data in ways that were nearly impossible just a few years ago, driving better decisions at scale." — Ryan Gifford

[00:09:07] - "Gen AI will fundamentally change how users interact with supply chain systems, making it possible to have natural language conversations with your data." — Scott Fenwick

[00:13:19] - "With real-time information, we’re not just responding faster; we’re making more meaningful decisions that impact the entire day’s operations." — Ryan Gifford

[00:20:19] - "The faster we can see data, the quicker we can respond to it, enabling teams to work smarter and faster." — Ryan Gifford

[00:23:03] - "We see a big organizational change coming, where silos are reduced, and decisions are better coordinated between planning and execution." — Scott Fenwick

FIND MORE ABOUT THE GUESTS

Scott Fenwick: LinkedIn

Ryan Gifford: LinkedIn

Manhattan Associates Website: Manhattan Active Supply Chain Planning

  continue reading

85 episodes

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