Allyson Mitchell and Chad Gottesman, President of Apkudo, explore how effectively leveraging data in the connected device supply chain can help you gain a data advantage and propel your business forward.  Chad and Allyson discuss a case study demonstrating how machine learning and predictive modeling can drastically reduce device theft, translating into substantial annual savings. The conversation delves into integrating fragmented internal data with external market insights to optimize device lifecycle management, sustainability, and operational efficiency. In this episode, you’ll learn about the importance of trust in the secondary market, the role of consistent cosmetic grading facilitated by AI, and the need for robust data strategies. You'll also hear practical advice from Chad Gottesman on how assessing and improving data capabilities, ensuring data security, and breaking down data silos underscores the potential of advanced analytics to drive growth and innovation in the connected device industry.  In this episode: 

The rise of data in the connected device industry and AI 
Case study on reverse logistics and loss prevention, and the importance of data-driven decision-making in the connected device supply chain 
Leveraging internal and external data for sustainability and efficiency  
Four stages of Apkudo's data maturity model
Unleashing the power of AI for data and cosmetic grading 
Robotics and AI deliver consistent grading and high-quality data, resulting in better trust in the secondary market 
Connected device supply chain data management includes understanding sources, combining data, securing it, and intercompany sharing
Frequently asked questions answered

Resources: 

Chad Gottesman LinkedIn 
Allyson Mitchell LinkedIn 
Apkudo 
Apkudo's Podcast 

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