Welcome back to More Than a Broker.
In this episode of More Than a Broker, three members of Spot’s Red Technologies team sat down to discuss the integration of AI in logistics, focusing on its definitions, importance, and the journey of implementation at Spot.
Director of Red Technologies Ben Garvin led a conversation with Alex Johnson, Director of Development Operations, and Tyler Hampton, Director of Data Science and Engineering, that focused on the significance of intelligent automation, the workforce skills gap, and the evolving nature of jobs driven by AI. They share insights on successful case studies, common pitfalls in AI adoption, and the future roadmap for AI innovations at Spot, highlighting the collaborative culture that drives their technological advancements.
About Red Technologies
Red Technologies, a wholly owned subsidiary of Spot, was founded by Andy Schenck and Andrew Elsener in 2019. Through their experience in the 3PL space and building a network of close relationships with carriers and shippers, Andy and Andrew realized that having the right technology in place would increase efficiency and streamline communication for their customers and their customers’ operations. Rather than implementing an out-of-the-box solution, they developed proprietary software, MySpot, a transportation management system (TMS) that provides complete visibility into customers’ supply chain operations.
Reasons to Listen
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- AI is about building systems that can understand and act on information.
- Intelligent automation is crucial for enhancing business processes.
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- AI will not replace jobs but will change how they are performed.
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- Developers must maintain a holistic understanding of their work despite AI tools.
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- A single source of truth for data is essential for effective AI implementation.
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- Focusing on one problem at a time leads to better AI solutions.
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- AI can significantly improve customer service and operational efficiency.
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- Collaboration between tech and business teams is vital for successful AI projects.
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- The future of AI at Spot includes innovations in customer support and pricing models.
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- Continuous feedback from users is essential for refining AI tools.