Treasure Chest – Gold Nuggets of Business and Innovation
Treasure Chest - Gold Nuggets of Business and Innovation
Podcast Description
Welcome to our Treasure Chest, where we embark on an exciting journey through the world of innovation and strategy across all industries. Join experts as they reveal the gems in form of topics like employer branding, venture capital, AI, and eFood retail advancements. Discover how companies navigate challenges and harness technology to uncover authentic and future-ready workplaces. Whether it's agile methodologies or data-driven insights, our episodes are rich with valuable knowledge for staying ahead in a dynamic world. Get ready for inspiring conversations that fuel growth and innovation!
Podcast Insights
Content Themes
Explores themes like employer branding, venture capital, AI advancements, and eFood retail innovations, with episodes highlighting strategies for building authentic workplace cultures and leveraging technology in retail to address industry challenges.
Welcome to our Treasure Chest, where we embark on an exciting journey through the world of innovation and strategy across all industries. Join experts as they reveal the gems in form of topics like employer branding, venture capital, AI, and eFood retail advancements. Discover how companies navigate challenges and harness technology to uncover authentic and future-ready workplaces. Whether it’s agile methodologies or data-driven insights, our episodes are rich with valuable knowledge for staying ahead in a dynamic world. Get ready for inspiring conversations that fuel growth and innovation!
Agentic commerce has protocols for discovery, checkout and payment. What it doesn't have yet is a reliable way to ask the operations side one simple question: can you actually deliver by Friday?In this episode of Treasure Chest, host Björn Dröschel talks to Ben Marks (Managing Director, Commerce Operations Foundation) and Tim (VP Technology, fulfillmenttools). We follow a single order – a pair of running shoes, needed by Friday – from an AI assistant comparing merchants to a store associate pulling the box off the shelf. At every handoff we ask: in whose language is the question asked, and who gets to define it?
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