OneRail has officially launched OmniSTAR, an AI-powered delivery platform. Consequently, the company built this system using NVIDIA accelerated computing. Furthermore, NVIDIA’s acceleration software plays a central role too. As a result, enterprise retailers, wholesalers, and distributors can now evaluate every delivery option instantly. Meanwhile, this includes owned fleets, couriers, and parcel services. Therefore, businesses can select the most cost-effective choice quickly. Additionally, OmniSTAR ensures each option still meets service requirements.
“For most retailers, optimizing last-mile delivery at scale has not been feasible in real time. OmniSTAR changes that,” said Bill Catania, Co-founder and CEO of OneRail. “Until now, same-day delivery at scale was a capability only large retailers like Amazon could afford to build. By combining NVIDIA cuOpt GPU-accelerated decision optimization engine, NVIDIA cuDF for data processing, and NVIDIA accelerated infrastructure with the proprietary data and operational models we’ve built over millions of deliveries, we can now evaluate all available delivery options for each order and make a decision based on cost and service in the moment. That gives any enterprise retailer a practical way to improve margin while offering the kind of fast, flexible delivery consumers expect.”
Built on Years of NVIDIA Collaboration
Notably, OmniSTAR results from a multi-year partnership between OneRail and NVIDIA. Specifically, this collaboration runs through the NVIDIA Inception program. Moreover, OneRail worked directly with NVIDIA’s cuOpt engineering team. Thus, both companies optimized logistics problems at a massive scale. In turn, OneRail applies advanced optimization to live delivery operations. Meanwhile, decisions must happen within minutes across multiple options.
“OneRail’s AI-powered delivery platform demonstrates how AI is benefiting businesses and consumers,” said Azita Martin, Vice President and General Manager of Retail and CPG at NVIDIA. “With CuOpt decision optimization engine and NVIDIA AI, OneRail addresses highly complex logistics challenges at scale, enabling faster delivery and lower logistics cost for retailers.”
Solving a Long-Standing Industry Challenge
Retailers make thousands of delivery decisions daily. However, most still rely on static rules or manual planning. Consequently, they miss opportunities to compare all fulfillment options. Additionally, routing calculations involve countless combinations. Therefore, conventional systems simply can’t process them fast enough. As a result, retailers often absorb unnecessary costs.
However, OmniSTAR solves this bottleneck directly. It combines NVIDIA cuOpt with OneRail’s proprietary pricing dataset. Subsequently, computation time drops by up to 10 times. For instance, a 20-minute problem now takes under two minutes. Similarly, week-long calculations shrink to roughly two days. Because of this speed, real-time decisioning finally becomes possible.
Proven Results Across the Delivery Network
OneRail draws from millions of deliveries across 12 million-plus drivers. Additionally, the network includes over 1,000 logistics partners. Therefore, OmniSTAR reflects genuine market conditions, not assumptions. At US Foods, for example, the platform identified costly delivery patterns immediately. Specifically, it flagged low-margin items shipped long distances on expensive equipment. Afterward, the company adjusted pricing and restructured its delivery approach.
Ultimately, OmniSTAR gives retailers continuous visibility into delivery economics. It evaluates every mode, flags wasteful rules, and tracks item-level profitability. Consequently, teams can adapt strategies as conditions shift. This AI-powered delivery platform therefore offers fast, affordable delivery without sacrificing margins.
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News Source: Businesswire.com
