In this episode of the AI Chronicles podcast, host Kyle James speaks with Danny He, founder and CEO of Soapbox, about the integration of AI in supply chain management. They discuss the importance of data, the challenges companies face in utilizing it effectively, and how Soapbox leverages AI to provide insights and streamline operations. Danny shares the origin story of Soapbox, the significance of contextualizing data, and the real-world results their clients have experienced through AI implementation. The conversation also touches on future AI initiatives and the evolving landscape of supply chain technology.

Links:

Soapbox: soap-bx.com

GPT Trainer: Automate anything with AI -> gpt-trainer.com

Key Moments:

• Soapbox aims to normalize supply chain data for efficiency.


• Data context is crucial for making informed decisions.


• Many companies struggle with stale data from ERPs.


• AI can help identify gaps in data that hinder operations.


• Real-time data access is essential for agility in supply chains.


• AI can generate actionable insights from existing data.


• The integration of various data sources enhances decision-making.


• Companies often overlook the importance of granular data.


• AI can significantly reduce product aging and waste.


• Future AI initiatives will focus on automating manual processes.

Chapters

• (00:00:00 ) - Introduction to AI in Supply Chain
• (00:01:08 ) - The Origin Story of Soapbox
• (00:02:41 ) - The Importance of Data in Supply Chain
• (00:05:45 ) - Contextualizing Data for Better Decision Making
• (00:08:01 ) - Leveraging AI for Data Insights
• (00:11:08 ) - The Role of AI in Supply Chain Management
• (00:14:06 ) - Real-World Results from AI Implementation
• (00:18:11 ) - Future AI Initiatives at Soapbox