Leaders in Tech and Ecommerce

*Hosted by Andrei Palamariu*
Torsten Pilz has spent more than three decades leading global supply chains at companies including Honeywell, 3M, SpaceX, Amazon, and Henkel before founding CounterPoint Labs. In this episode, he shares why he believes traditional supply chain planning is becoming obsolete and how AI-native technologies are enabling autonomous, self-healing supply chains. We explore why companies often get stuck in endless AI pilots, the biggest barriers to digital transformation, and how manufacturers can modernize operations by connecting fragmented systems, data, and decision-making. Torsten also explains why leadership commitment, not technology is the true differentiator in successful AI transformations, and why the future belongs to organizations that move beyond planning toward continuous, autonomous operations.
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*Hosted by Andrei Palamariu*

Jonathan Horn has spent his career at the intersection of farming, physics, finance, and AI, bringing decades of experience in risk management before founding Treefera. In this episode, he explains how Treefera combines satellite imagery, earth observation, and artificial intelligence to deliver first-mile supply chain intelligence, helping organizations better understand climate risk and make smarter sourcing decisions. We explore why traditional visibility misses the first mile, how climate volatility is reshaping global procurement, and why predictive intelligence is becoming essential for resilient supply chains. Jonathan also shares how enterprises and financial institutions are using AI-driven insights to assess risk, improve sourcing strategies, and make better decisions in an increasingly uncertain world.
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Harish Abbott has built his career around solving some of the most complex challenges in logistics and supply chain operations, from architecting systems at Amazon to founding and scaling multiple successful technology companies. In this episode, he explains how Augment is building AI teammates and agentic AI workflows that manage the constant stream of emails, calls, texts, and operational decisions that drive global supply chains. 
We explore why information delays create waste, what it takes to deploy agentic AI in mission-critical environments, and why deep industry context is essential for delivering meaningful productivity gains. Harish shares real-world examples across transportation, freight brokerage, and distribution, where AI is improving shipment visibility, automating carrier sourcing, and helping sales teams focus on relationships instead of manual data entry. We also discuss the importance of change management, the role of guardrails in enterprise AI systems, and the evolution from predefined workflows to self-learning agents that adapt to people, suppliers, and business processes over time. This is a deep dive into the future of supply chain execution, where AI is becoming a trusted teammate rather than just another software tool.

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*Hosted by Andrei Palamariu*

Tim Srock, CEO of Lobster, joins me to discuss how companies can connect their supply chain ecosystems by addressing the critical middle layer of data integration. In this episode, we explore why 80% of critical supply chain data actually lives outside a company's internal systems—residing instead with suppliers, carriers, and 3PLs. Tim shares Lobster's journey from a horizontal IPaaS provider to a specialized supply chain platform executing over 30 billion workflows a year. We dive into the massive shift from optimizing supply chains for cost to optimizing for resilience and regulatory compliance in Europe. Tim also breaks down practical success stories, like how Deichmann achieved 90% savings on data exchange workflows and how Lindt improved their cold chain logistics. Finally, we discuss the realistic application of agentic AI in a deterministic logistics environment, emphasizing the need for structured data foundations and keeping the "human in the loop".

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*Hosted by Andrei Palamariu*
Harald Nitschinger, Co-Founder and CEO of Prewave, joins me to unpack how companies can stay one step ahead of supply chain risks in an era defined by volatility, geopolitical tension, and constant disruption. In this episode, we explore how Prewave uses AI to detect early warning signals across global data sources, helping enterprises monitor supplier risk across multiple tiers and move from reactive firefighting to proactive resilience. Harald shares how the company evolved from academic research into a platform serving hundreds of organizations, analyzing millions of data points across hundreds of languages to surface signals ranging from labor unrest to regulatory shifts and geopolitical shocks. We dive into the real challenge facing supply chain leaders today—balancing cost optimization with resilience—and why concepts like “revenue at risk” are becoming critical in making smarter sourcing decisions. Harald also explains how scenario planning helps companies prepare for multiple potential futures, why visibility beyond Tier-1 suppliers is essential, and how AI-driven workflows will increasingly automate risk monitoring and mitigation processes. From the role of data strategy in enabling agentic AI to the competitive advantage of being prepared when disruptions hit, this conversation explores what it takes to build supply chains that can adapt, respond, and ultimately outperform in uncertain conditions.