Nauta, an AI-native operating system designed for global supply chains, has launched its new Inventory Optimization Engine, an AI-powered solution aimed at helping shippers forecast stockout risks and plan inventory more effectively ahead of peak demand periods such as the holiday season.
Built on Nauta’s unified data platform, the solution connects and structures proprietary supply chain data across enterprise systems down to the SKU level. By integrating with ERP, WMS, and TMS platforms, the engine provides predictive insights that allow teams to act earlier across procurement, replenishment, and inventory allocation.
Many organizations still rely on fragmented systems and manual processes, often making replenishment decisions based on historical data. Nauta’s Inventory Optimization Engine replaces this reactive approach with forward-looking analysis, enabling companies to identify potential shortages before they disrupt operations or revenue.
The platform is already delivering measurable results across industries including food and beverage distribution and manufacturing. One long-established packaging supplier serving pharmaceutical customers avoided financial penalties and protected more than $1.2 million in revenue during the third quarter of 2025 by using Nauta’s predictive insights. WindMar Home, the Caribbean’s largest residential solar contractor, reported a 1.3 percent improvement in fill rates, preserving hundreds of thousands of dollars in revenue after adopting Nauta’s system.
According to Nauta’s leadership, visibility and context are critical during high-demand periods. By harmonizing supply chain data in real time and applying AI-driven analysis, the Inventory Optimization Engine gives shippers clear insight into inventory exposure at the SKU level and the ability to respond before disruptions occur.
Founded to modernize global supply chain decision-making, Nauta has experienced rapid growth since its launch in January 2025. The company has raised $7 million in seed funding led by Construct Capital and Predictive, expanded revenue significantly, and grown its customer base, including leading global brands across multiple sectors.
