Episode 9: The future of end-to-end supply chain visibility resides in the unified platforms where collaboration and data sharing thrive

Hello, visibility enthusiasts! Welcome to the Beyond Visibility Lounge, the podcast that explores the seen and unseen world of the supply chain, logistics, transportation, and traceability. Join your hosts, ⁠⁠Iliriana Kacaniku⁠⁠ and ⁠⁠Ron Volpe⁠⁠ in an exploration of the current state of affairs for end-to-end visibility. In this episode, they host Bart A. De Muynck who shares his journey in the logistics industry and the evolution of visibility technology. He discusses the challenges of achieving end-to-end visibility and the need for collaboration and communication within supply chains. The role of government regulations in driving visibility and data sharing is also highlighted. The conversation explores the value of AI and ML in new technologies and the importance of unified platforms for data sharing. The potential for creating new value in supply chains through collaboration and trust is discussed. The conversation explores the challenges and opportunities of data sharing and collaboration in the logistics industry. It highlights the need for a new business model that promotes data sharing and collaboration among different stakeholders. The conversation also emphasizes the importance of technology and data standardization in achieving visibility and traceability in supply chains. Additionally, it discusses the evolving role of talent in logistics and the impact of AI and technology on job roles. The conversation concludes by emphasizing the importance of investing in technology and innovation to stay competitive in the evolving supply chain landscape.

Takeaways:

• Achieving end-to-end visibility in supply chains is still a challenge, with companies having varying levels of visibility and data silos.
• Collaboration and communication are essential for breaking down silos and creating transparency within supply chains.
• Government regulations can play a role in driving visibility and data sharing, especially in areas like sustainability and fair labor practices.
• AI and ML have the potential to enhance supply chain visibility and provide predictive insights, but they should be used in conjunction with other technologies and human collaboration.
• Unified platforms for data sharing can inspire collaboration and create new value in supply chains.
• Creating a culture of collaboration and trust is crucial for successful data sharing and collaboration within and across organizations. The logistics industry needs a new business model that promotes data sharing and collaboration among stakeholders.
• Technology and data standardization are crucial for achieving visibility and traceability in supply chains.
• The role of talent in logistics is evolving, and AI and technology will change job roles but also create new opportunities.
• Investing in technology and innovation is essential to stay competitive in the evolving supply chain landscape.

Resources:

• Better Supply Chains