--- 格式版本: 2 标题: "OneRail launches AI-powered delivery decisioning platform" 原文链接: "https://www.engineering.com/onerail-launches-ai-powered-delivery-decisioning-platform/" 发布日期: "2026-09-02" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:local:strict_original_body" 发布时间证据: "Sep 2, 2026" 发布时间校准原因: "标题附近明确标注的日期 Sep 2, 2026，符合发布时间优先规则。" 发布时间校准置信度: "1" 发布时间候选数量: 12 发布时间严格候选数量: 2 发布时间原页读取状态: "source template page reused from URL open" 发布时间未找到原因: "" 发布时间校准时间: "2026-09-03T23:52:13+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 32794 发现时间: "2026-09-03T23:50:47+08:00" 入库时间: "2026-09-03T15:53:09.670Z" 来源平台: "Engineering.com 搜索" 搜索渠道: "source_template" 搜索词: "site:engineering.com delivery" 匹配关键词: - "delivery" - "AI" - "GPU" - "performance" 相关厂家: - "NVIDIA" - "Oracle" 相关专家: [] 内容类型: "网页" 抓取工具: "Jina Reader" 清洗工具: "Jina Reader Markdown + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 8 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "文章内容为OneRail物流配送决策平台，使用NVIDIA cuOpt优化配送，属于物流软件应用，与超节点/AI Rack/机柜级AI基础设施、高速互连、供电、液冷等核心主题完全无关。" AI质检模型: "zj-deepseek-v4-flash" AI质检时间: "2026-09-03T23:53:17+08:00" AI主题相关性: 0 AI来源权威性: 4 AI新颖性: 2 AI技术细节: 0 AI商业部署信号: 2 AI完整性: 0 AI摘要: "OneRail推出AI配送决策平台OmniSTAR，基于NVIDIA cuOpt加速，可实时评估车队、快递、包裹等配送选项，为每笔订单选出满足服务要求的最低成本方案。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-04T00:18:22.467Z" 采集批次: "2026年9月3日22点43分34秒" 采集批次ID: "20260903-224334-406" 去重键: "https://www.engineering.com/onerail-launches-ai-powered-delivery-decisioning-platform" --- Title: OneRail launches AI-powered delivery decisioning platform URL Source: https://www.engineering.com/onerail-launches-ai-powered-delivery-decisioning-platform/ Published Time: 2026-09-02T12:12:00+00:00 Markdown Content: [Skip to content](https://www.engineering.com/onerail-launches-ai-powered-delivery-decisioning-platform/#main-content) Search [Subscribe](https://www.engineering.com/subscribe/) [Technology](https://www.engineering.com/category/technology/) Back Technology [Browse All 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OneRail announced OmniSTAR, an AI-powered delivery decisioning platform developed with NVIDIA accelerated computing and acceleration software. The OmniSTAR platform enables enterprise retailers, wholesalers and distributors to evaluate every available delivery option for each order—across owned fleet, courier, parcel and other modes—and select the one that meets service requirements at the lowest cost in real time. ### **Built with NVIDIA AI** OmniSTAR builds on a multi-year collaboration between OneRail and NVIDIA through the[NVIDIA Inception](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fstartups%2F&esheet=54597088&newsitemid=20260901195741&lan=en-US&anchor=NVIDIA+Inception&index=1&md5=df3e41f2ae9359664a684de6f987e029)program. The relationship goes beyond infrastructure to include direct engagement with the[NVIDIA cuOpt](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fai-data-science%2Fproducts%2Fcuopt%2F&esheet=54597088&newsitemid=20260901195741&lan=en-US&anchor=NVIDIA+cuOpt&index=2&md5=59582c064a2bfd3cca846de3ad4ca1f8)engineering team, to optimize last-mile delivery and large-scale logistics problems with CuOpt decision optimization engine. This collaboration enables OneRail to apply advanced optimization within live delivery operations, where decisions must be made in minutes across multiple fulfillment options simultaneously. OmniSTAR was built to solve a problem that has long resisted practical solutions at enterprise scale. Retailers make thousands of delivery decisions each day, each affecting cost, service levels and margin. Most organizations still rely on static rules or manual planning, limiting their ability to evaluate tradeoffs across all available fulfillment options. The challenge is computational. Delivery routing and mode selection involve a large number of possible combinations that cannot be evaluated quickly using conventional systems. As a result, retailers often operate with incomplete information and absorb avoidable costs. OmniSTAR addresses this by combining[NVIDIA cuOpt](https://cts.businesswire.com/ct/CT?id=smartlink&url=https%3A%2F%2Fwww.nvidia.com%2Fen-us%2Fai-data-science%2Fproducts%2Fcuopt%2F&esheet=54597088&newsitemid=20260901195741&lan=en-US&anchor=NVIDIA+cuOpt&index=3&md5=d1681cfd8476a9cd44aea8da7aeeb879), an open GPU-accelerated decision optimization engine that accelerates evaluation of complex routing scenarios, with OneRail’s proprietary delivery pricing and performance dataset. NVIDIA AI infrastructure allows OmniSTAR to process sophisticated routing and mode selection scenarios significantly faster than traditional systems, reducing computation time by as much as 10 times—compressing a 20-minute problem down to under two minutes, and a week-long calculation to roughly two days. Because many delivery decisions must be made within tight operational windows, that speed is what makes real-time decisioning possible. OneRail provides the operating context. Its dataset, built from millions of deliveries across a network of more than 12 million drivers and over 1,000 logistics partners, reflects actual pricing and performance across delivery modes. This allows OmniSTAR to generate data-informed recommendations based on current market conditions rather than assumptions. Together, these capabilities enable a single system to evaluate all fulfillment options and select the lowest-cost option that meets service requirements. ### **Deployed and delivering results** OmniSTAR is currently deployed with select enterprise customers. At US Foods, the model identified delivery configurations that were eroding margins, including shipping low-margin items long distances on high-cost equipment. The company used these insights to adjust pricing and restructure delivery patterns. As market conditions can change rapidly due to fuel costs, weather, shipping and other variables, the ability to solve problems and run multiple scenario analyses more quickly is critical. Powered by NVIDIA acceleration software, OmniSTAR gives retailers a way to continuously optimize delivery decisions and economics as conditions change: * It evaluates all available delivery modes for each shipment and selects the most cost-effective option that meets service requirements. * It identifies internal rules and constraints that drive unnecessary cost, such as delivery commitments or routing logic that conflict with margin goals. * It provides visibility into how delivery decisions affect item-level profitability. * It allows teams to adjust delivery strategies as costs and conditions change. This gives retailers a practical path to offer fast delivery without absorbing the margin tradeoffs that have historically limited same-day delivery at scale. For more information, visit [onerail.com](https://www.onerail.com/). ## You might also like [Facebook](https://www.facebook.com/sharer/sharer.php?u=https://www.engineering.com/onerail-launches-ai-powered-delivery-decisioning-platform/&display=popup&ref=plugin&src=share_button "Share on Facebook")[Tweet](https://twitter.com/share?url=https://www.engineering.com/onerail-launches-ai-powered-delivery-decisioning-platform/&text=OneRail%20launches%20AI-powered%20delivery%20decisioning%20platform "Share on Twitter")[LinkedIn](https://www.linkedin.com/shareArticle?mini=true&url=https://www.engineering.com/onerail-launches-ai-powered-delivery-decisioning-platform/ "Share on LinkedIn")[Reddit](https://www.reddit.com/submit?url=https://www.engineering.com/onerail-launches-ai-powered-delivery-decisioning-platform/ "Share on Reddit") [Written by #### Srabanti Chakraborty](https://www.engineering.com/author/srabanti-chakraborty/) ## more news [Industry News](https://www.engineering.com/category/industry/industry-news/) ### [PTC opens Melbourne office to support Onshape growth](https://www.engineering.com/ptc-opens-melbourne-office-to-support-onshape-growth/) [Industry News](https://www.engineering.com/category/industry/industry-news/) ### [Roland DG launches 64-inch TrueVis AG-640 printer/cutter](https://www.engineering.com/roland-dg-launches-64-inch-truevis-ag-640-printer-cutter/) [Industry News](https://www.engineering.com/category/industry/industry-news/) ### [HPE expands Oracle collaboration for AI data center networking](https://www.engineering.com/hpe-expands-oracle-collaboration-for-ai-data-center-networking/) stay in the know ##### subscribe to the engineering.com ##### newsletter Δ Company This field is for validation purposes and should be left unchanged. 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