The Supply Chain Journal
Nauta Launches AI-Powered Inventory Optimization Engine to Eliminate Stockout Risks
Today, we launched the Nauta Inventory Optimization Engine, an AI-powered engine that enables shippers to plan inventory with the context of their own proprietary supply chain data. Valentina Jordan, CEO and Co-Founder of Nauta, discusses the newly launched Nauta Inventory Optimization Engine, and why we need to fix the data infrastructure layer of global supply chains in order to make real gains across stockouts, fill rates and inventory management processes.
Real-Time Cost Reduction with Freight Data & Automation Software
Discover how Nauta freight data & automation software helps shippers cut detention fees, reduce manual work, and improve carrier performance.
Logistics Intelligence Platform: Real-Time Data and Automation
The data and automation problem in modern logistics If you manage international shipments, you know how hard it is to stay on top of every movement. One late update can cause detention fees, missed connections, or production delays. For years, I worked with spreadsheets, carrier portals, and long email threads. Every morning felt like solving a puzzle with missing pieces. By the time I had answers, it was too late to act. That is why logistics intelligence platforms are changing the game for importers, shippers, and 3PLs. They give you real-time insights, but more importantly, they help you act before costs occur.
AI in logistics: the complete guide to automation and decision intelligence
Logistics has always relied on precision, timing, and control. Each day, thousands of shipments move across ports, borders, and warehouses. Managing this complexity is difficult and expensive. A single delay can affect production, inventory, and customer trust.
AI in Supply Chain 2026 Why the Real Transformation Is Still Ahead of Us
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.
How AI Is Finally Giving Procurement Real-Time Inventory Intelligence
Procurement teams are making million-dollar decisions in the dark. They're choosing suppliers, negotiating volume commitments, and hedging against risk without the clean, accurate SKU-level data or predictive decision-making capabilities they need. The costs add up fast: supplier penalties, emergency freight charges, and lost sales from stockouts. While there's immense hype around AI's potential in global supply chains, the most practical application addresses a bleeding pain for importers: inventory management. Companies are in the business of moving goods, not containers or trailers, which means SKU-level control is what matters most. AI-powered data normalization is finally making it possible to connect supply chain and logistics at the inventory level - unifying fragmented information from ERPs, warehouse management systems, and purchase orders to give procurement teams visibility and control they've never had before.