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المحتوى المقدم من The Parker Avery Group. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرةً بواسطة The Parker Avery Group أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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The Demand Intelligence Difference

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Manage episode 303422893 series 2934680
المحتوى المقدم من The Parker Avery Group. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرةً بواسطة The Parker Avery Group أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

This week we're talking about Demand Intelligence, Parker Avery’s software-as-a-service demand planning platform. Demand Intelligence is not only powered by the latest in advanced analytics and artificial intelligence, but it’s also driven by deep retail and CPG industry expertise. One of the unique things about Demand Intelligence is that its development was informed with input from several global retail and CPG executives. The guiding light was to solve real retail and consumer goods business challenges and incorporate industry best practices bolstered with advanced analytics.
Outside of the deep science and math, Demand Intelligence is a workflow-guided solution with a very intuitive and user-friendly interface. What’s more, it can be implemented in a matter of weeks, not months.

In this episode, we give you a first-hand encounter of why Demand Intelligence is different from so many advanced analytics platforms on the market. Joining the discussion is our Chief Analytics Officer, Sam Iosevich, along with Partner Amanda Astrologo, and Principal Marty Anderson.

To learn more about Demand Intelligence, we invite you to read our latest press release:
Parker Avery Solves Demand Planning Challenges with Groundbreaking AI Enabled Solution

Introduction music: On My Way by Kevin MacLeod | Link: https://incompetech.filmmusic.io/song/4163-on-my-way | License: http://creativecommons.org/licenses/by/4.0/ | Cover image by Jorge Guillen from Pixabay

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Artwork
iconمشاركة
 
Manage episode 303422893 series 2934680
المحتوى المقدم من The Parker Avery Group. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرةً بواسطة The Parker Avery Group أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

This week we're talking about Demand Intelligence, Parker Avery’s software-as-a-service demand planning platform. Demand Intelligence is not only powered by the latest in advanced analytics and artificial intelligence, but it’s also driven by deep retail and CPG industry expertise. One of the unique things about Demand Intelligence is that its development was informed with input from several global retail and CPG executives. The guiding light was to solve real retail and consumer goods business challenges and incorporate industry best practices bolstered with advanced analytics.
Outside of the deep science and math, Demand Intelligence is a workflow-guided solution with a very intuitive and user-friendly interface. What’s more, it can be implemented in a matter of weeks, not months.

In this episode, we give you a first-hand encounter of why Demand Intelligence is different from so many advanced analytics platforms on the market. Joining the discussion is our Chief Analytics Officer, Sam Iosevich, along with Partner Amanda Astrologo, and Principal Marty Anderson.

To learn more about Demand Intelligence, we invite you to read our latest press release:
Parker Avery Solves Demand Planning Challenges with Groundbreaking AI Enabled Solution

Introduction music: On My Way by Kevin MacLeod | Link: https://incompetech.filmmusic.io/song/4163-on-my-way | License: http://creativecommons.org/licenses/by/4.0/ | Cover image by Jorge Guillen from Pixabay

  continue reading

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