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OneRail Launches OmniSTAR Delivery Platform Powered by Nvidia AI

OneRail launches OmniSTAR, an AI-powered delivery platform utilizing Nvidia cuOpt and cuDF to optimize last-mile logistics costs.

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04 Sep 2026Source: AI News2 min read (0 views)
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OneRail Launches OmniSTAR Delivery Platform Powered by Nvidia AI

Stock photo for illustration only, not from the actual event

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  • OneRail launched OmniSTAR, an AI-driven delivery execution platform.
  • The system combines Nvidia cuOpt and cuDF for 10x faster calculations.
  • It optimizes last-mile delivery modes and costs in real time.

OneRail has launched an AI-powered delivery platform called OmniSTAR, designed to help retailers, wholesalers, and distributors determine the most cost-effective way to deliver individual orders. The system evaluates various available options, including owned fleets and parcel carriers, to select the lowest-cost alternative meeting required service levels.

The platform combines Nvidia's cuOpt decision optimization engine and cuDF data processing software with OneRail's proprietary delivery pricing and performance data. Nvidia's accelerated computing infrastructure powers the routing and delivery-mode calculations behind the system.

10xFaster computation
$40M3-year run-rate savings

According to the company, the system can reduce computation times by up to 10 times, shrinking a 20-minute calculation to under two minutes. This reduction allows optimization routines to run directly within live delivery operations before orders are assigned.

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Stock photo for illustration only, not from the actual event

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"If you don't have the ability to make lightning-fast decisions, you're giving up margin. Last-mile fulfilment is expensive."

Catania

OneRail noted that enterprise customers like US Foods have already utilized the platform to identify delivery configurations reducing margins, such as transporting low-margin products over long distances using costly equipment. Additionally, an unnamed tire distributor achieved $40 million in run-rate savings over three years using the platform.

Integrating GPU-accelerated computing into complex mathematical optimization problems like vehicle routing allows logistics providers to process massive datasets instantly, transforming static planning into dynamic operational agility.

Source: AI News

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