Industry Trends
Why Cash Flow Breaks Supply Chains (and How to Fix It)
Cashflow may not always grab headlines, but for importers it often determines whether supply chains run smoothly or grind to a halt. In this Q&A, our CEO and Co-Founder, Valentina Jordan, shares her perspective on why liquidity challenges are mounting for importers, how traditional tactics like bonded storage fall short, and where technology can provide critical relief. The conversation highlights why treating cashflow as a strategic priority that will define which companies thrive in today’s volatile global trade environment.
AI in Logistics: 7 Practical Use Cases (2026)
Explore AI in logistics with 7 powerful use cases. From forecasting to warehouse automation: driving cost savings, resilience, and efficiency in global supply chains.
Supply Chain Visibility Software: 2026 Buyer’s Guide
Learn how to choose a supply chain intelligence platform in 2026. See how AI, automation, and decision intelligence help reduce costs and improve logistics performance.
Freight Data Automation: Reduce Costs with Real-Time Control
Discover how Nauta freight data & automation software helps shippers cut detention fees, reduce manual work, and improve carrier performance.
AI in Supply Chain (2026): What’s Missing for Real ROI
AI is everywhere in supply chain strategy, yet real operational ROI remains elusive. As we head into 2026, most organizations are discovering that task-level automation isn’t enough. In this piece, Valentina Jordan, Founder & CEO of Nauta, outlines why true AI transformation in supply chain still lies ahead and what leaders must change to move from pilots to durable, decision-driven operating models.
The Scaling Problem Your Logistics Management Software Was Never Built to Solve
At what point does adding volume stop generating margin and start generating overhead? For most enterprise importers, that inflection point arrives before it's visible on a report. Container volume grows. The logistics management software stack keeps pace with execution. But the coordination work that lives between systems, the reconciliation, the exception management, the manual follow-up, grows faster than the volume does. And the team expands to absorb complexity that the architecture should be handling. By the time it shows up in headcount or margin compression, the pattern has been compounding for months. This is the gap that Nauta, the AI-native engine that puts agents into action inside a unified supply chain data layer, was built to close.