Big tech is transforming every aspect of our world. But how, and at what cost? This season of Land of the Giants – The Disney Dilemma – focuses on Disney’s ability to weather the ups and downs of the business cycle and changing tastes and explores what has kept it successful for over 100 years. The entertainment giant has leveraged nostalgia and its intellectual property to build a beloved brand, but after an acquisition spree that included Marvel, Lucasfilm, and 20th Century Fox, can it sus ...
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How AI Will Change Order Management Forever With Infios SVP Omar Akilah | 5IM
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Manage episode 481216798 series 2106196
Content provided by Omni Talk Retail. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Omni Talk Retail 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://podcastplayer.com/legal.
In this exclusive 5 Insightful Minutes interview, Omar Akilah, SVP of Product Strategy at Infios, joins Omni Talk to explore how AI is impacting retail order management systems. From modular OMS architecture to predictive inventory optimization and AI-enhanced customer service, Omar explains why the future of retail fulfillment depends on intelligent, scalable, and purpose-built solutions. Learn how leading retailers can ditch the spreadsheets and future-proof their operations today. Key moments include: 0:11 – Omar joins to talk about how AI is impacting OMS 0:30 – What is a modular order management system and why it matters 1:25 – How Shopify brands can scale with modular tech 2:00 – Why AI—not systems—should power retail functionality 2:52 – How predictive AI is transforming order orchestration and fulfillment 3:44 – Examples of AI in real-time inventory management and optimization 5:00 – Eliminating spreadsheets and manual what-if rules 6:10 – The future: AI as a companion to enhance—not replace—retail jobs 7:50 – AI-augmented agents for better customer service 8:11 – Final thoughts from Omar on intelligent systems and retail agility Music by hooksounds.com #aiinretail #ordermanagement #retailtech #omnichannel #Infos #RetailAI #inventoryoptimization #machinelearning #ecommerce #omnitalk #retailinnovation Sponsored Content
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1474 episodes
MP3•Episode home
Manage episode 481216798 series 2106196
Content provided by Omni Talk Retail. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Omni Talk Retail 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://podcastplayer.com/legal.
In this exclusive 5 Insightful Minutes interview, Omar Akilah, SVP of Product Strategy at Infios, joins Omni Talk to explore how AI is impacting retail order management systems. From modular OMS architecture to predictive inventory optimization and AI-enhanced customer service, Omar explains why the future of retail fulfillment depends on intelligent, scalable, and purpose-built solutions. Learn how leading retailers can ditch the spreadsheets and future-proof their operations today. Key moments include: 0:11 – Omar joins to talk about how AI is impacting OMS 0:30 – What is a modular order management system and why it matters 1:25 – How Shopify brands can scale with modular tech 2:00 – Why AI—not systems—should power retail functionality 2:52 – How predictive AI is transforming order orchestration and fulfillment 3:44 – Examples of AI in real-time inventory management and optimization 5:00 – Eliminating spreadsheets and manual what-if rules 6:10 – The future: AI as a companion to enhance—not replace—retail jobs 7:50 – AI-augmented agents for better customer service 8:11 – Final thoughts from Omar on intelligent systems and retail agility Music by hooksounds.com #aiinretail #ordermanagement #retailtech #omnichannel #Infos #RetailAI #inventoryoptimization #machinelearning #ecommerce #omnitalk #retailinnovation Sponsored Content
…
continue reading
1474 episodes
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