<p><strong><em>基于统一可视化，RADAR 的人工智能已经为消费品、食品及其他领域的领先企业提供支持</em></strong></p>
<p>, /PRNewswire/ -- Decklar（前身为 Roambee）今天宣布推出 RADAR（实时警报检测与响应），这是一个下一代的人工智能原生物流控制塔平台，统一了实时可视化、预测智能和自主物流执行。RADAR 将全球供应链从仪表盘和异常监控提升到一个操作模型，在这个模型中，决策人工智能持续解读正在发生的事情，确定接下来必须发生的事情，并快速、可审计地采取行动——无论是自主执行还是与人类协作。</p>
<p>继续阅读</p>
<p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null"/></p>
<p>Decklar 的 RADAR - 首个完全自主的物流控制塔</p>
<p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null"/></p>
<p>RADAR 平台的人工智能在工作 - 完全自主的物流控制塔</p>
<p>此次发布正值供应链领导者面临前所未有的波动之际。德勤的一项调查提到，&#34;76% 的制造商表示他们的供应链可视化有限。在过去，这意味着延迟发货或错过截止日期。在 2025 年，这可能意味着声誉损害、合规违规或数百万美元的损失。&#34; 文章进一步补充道，&#34;考虑到这些风险，55% 的供应链领导者正在增加技术投资，60% 计划在诸如协调可视化平台、云计算、预测分析和人工智能等解决方案上花费超过 100 万美元。像联想这样的公司正在大力投资于人工智能驱动的供应链能力，突显出全球 2000 强企业在现代化可视化、规划和执行方面的紧迫性。&#34;</p>
<p>大多数控制塔软件模块由两类公司提供：供应链规划（SCP）工具或基于承运人和里程碑数据的实时运输可视化平台（RTTVPs）。第一类在记录系统方面表现强劲，但由于依赖定期刷新和人工干预，反应较慢。第二类虽然有动态变化，但缺乏可验证和统一的可视化，导致信息碎片化或延迟，无法驱动真正的实时干预。多年来，企业依赖这种控制塔软件或自行开发。大多数仍依赖人工操作员、规划人员和 GSOC 风格的团队来拼凑上下文、正确升级和执行标准操作程序。随着监管要求的增加和发货量的激增，这种依赖人力的轮询模型已无法跟上。</p>
<p>RADAR 有所不同。基于统一可视化——流式跟踪与追踪、里程碑数据、承运人、环境和产品行为信号——它充当实时行动系统，关联事件、预测风险，并立即执行正确的响应。其人工智能分析新兴模式、分类风险、预测干扰，并确定所需的确切干预措施。从那里，RADAR 的自主代理发起响应——无论是通过人工智能语音呼叫停在高风险区域的司机，升级到质量和安全团队，执行特定车道的标准操作程序违规，还是将决策路由给内部负责人以提供完整的上下文。结果是一个无与伦比的速度、一致性和问责制的水平，这是人工控制塔无法实现的。</p>
<p>&#34;可视化帮助供应链看见，但仅靠可视化无法运营现代供应链网络，&#34; Decklar 首席执行官 Sanjay Sharma 表示。&#34;RADAR 是首个作为实时行动系统构建的人工智能原生物流控制塔平台，能够在 100% 的供应链网络中执行和干预。它理解正在发生的事情，知道接下来需要发生什么，并立即采取行动，包括拨打电话与车辆操作员或其他供应链利益相关者进行对话。这是未来十年供应链韧性将建立的智能水平。&#34;</p>
<p>早期企业部署显示了这种方法的影响。一家全球巧克力制造商将冷链合规率从 57% 提高到 90% 以上，同时避免了昂贵的运输基础设施改造，并增强了该地区零售商的信心。一家受监管的全球消费品领导者在 120 多个国家实现了其海洋网络的实时控制，减少了滞留、滞期、无需的空运和缺货风险。在这些网络中，RADAR 为这些公司解锁了超过 1700 万美元的年度综合价值。 在制药分销中，RADAR 被配置为使对偏差和路线偏离的响应速度提高三倍，同时显著减少盗窃和温度事件。</p>
<p>RADAR 现已在全球范围内推出。要详细了解该平台，请访问 www.decklar.com/ai-platform/radar 下载 RADAR 采用指南。</p>
<p><strong>关于 Decklar</strong></p>
<p>Decklar（前身为 Roambee）在统一可视化的基础上开创了实时决策人工智能，重塑全球 2000 强企业的供应链，使其变得透明、自动化和可持续。在几周内，这些企业将补货、货物接收、收入预测、质量释放、安全和资产管理等关键流程转变为动态、风险知情的操作。尽管全球在规划、运输管理系统和可视化工具上花费超过 250 亿美元，供应链仍然停滞不前：60% 的货物延迟到达，扰乱了库存计划；17% 面临质量问题；76% 的可重复使用资产未得到充分利用。规划/TMS 工具仍然是记录系统，依赖静态或手动数据。可视化工具缺乏商业背景。Decklar 填补了这一空白。</p>
<p>基于超过 10 年的自我丰富供应链可视化数据，Decklar 的人工智能原生平台将实时货运和资产信号与决策智能相结合——为供应链、物流、质量、安全、运营和财务提供精准的执行和规划建议——作为一个行动系统。Decklar 的实时决策人工智能目前支持超过 42% 的美国制药货运，超过 66% 的南亚糖果，以及约四分之一的全球消费品货运——显著提升了收入和利润。了解更多请访问 https://www.decklar.com。</p>
<p><strong>媒体联系</strong></p>
<p>Premsai Sainathan</p>
<p>副总裁 – 增长与产品营销</p>
<p>Decklar</p>
<p>[email protected]</p>
<p>+1 (408) 461-5221</p>
<p>来源 Decklar</p>
<p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjUxMTEyJk5ld3NJdGVtSWQ9UEgyMTg5OCZUcmFuc21pc3Npb25fSWQ9MjAyNTExMTIwODM5UFJfTkVXU19VU1BSX19fX19QSDIxODk4?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjUxMTEyJk5ld3NJdGVtSWQ9UEgyMTg5OCZUcmFuc21pc3Npb25fSWQ9MjAyNTExMTIwODM5UFJfTkVXU19VU1BSX19fX19QSDIxODk4"/></p>

<p>Decklar 推出了 RADAR，这是首个完全自主的物流控制塔平台，集成了实时可视化、预测智能和自主物流执行。这个以人工智能为基础的平台解决了供应链可视化有限的问题，使企业能够更快、更可审计地应对干扰。早期的部署显示出在合规性和成本节约方面的显著改善。RADAR 旨在通过自动化决策过程来增强供应链的韧性，目前已在全球范围内推出</p>

<p><strong><em>Built on Unified Visibility, RADAR's AI Already Powers Leading Enterprises in CPG, Food, &amp; Beyond</em></strong></p>
<div class="lb-trans"><p><strong><em>基于统一可视化，RADAR 的人工智能已经为消费品、食品及其他领域的领先企业提供支持</em></strong></p>
</div><p>, /PRNewswire/ -- Decklar (formerly Roambee) today announced the launch of RADAR (Real-time Alert Detection And Response), a next-generation, AI-native Logistics Control Tower Platform that unifies real-time visibility, predictive intelligence, and autonomous logistics execution. RADAR moves global supply chains beyond dashboards and exception monitoring, into an operating model where Decision AI continuously interprets what is happening, determines what must happen next, and initiates fast, auditable action—autonomously or in collaboration with humans.</p>
<div class="lb-trans"><p>, /PRNewswire/ -- Decklar（前身为 Roambee）今天宣布推出 RADAR（实时警报检测与响应），这是一个下一代的人工智能原生物流控制塔平台，统一了实时可视化、预测智能和自主物流执行。RADAR 将全球供应链从仪表盘和异常监控提升到一个操作模型，在这个模型中，决策人工智能持续解读正在发生的事情，确定接下来必须发生的事情，并快速、可审计地采取行动——无论是自主执行还是与人类协作。</p>
</div><p>Continue Reading</p>
<div class="lb-trans"><p>继续阅读</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null" alt="" original-src="https://www.prnewswire.com/news-releases/null"/></p>
<p>RADAR by Decklar - First Fully Autonomous Logistics Control Tower</p>
<div class="lb-trans"><p>Decklar 的 RADAR - 首个完全自主的物流控制塔</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null" alt="" original-src="https://www.prnewswire.com/news-releases/null"/></p>
<p>RADAR Platform's AI at Work - Fully Autonomous Logistics Control Tower</p>
<div class="lb-trans"><p>RADAR 平台的人工智能在工作 - 完全自主的物流控制塔</p>
</div><p>The launch comes at a time when supply chain leaders face unprecedented volatility. A Deloitte survey referenced by Supply Chain Digital warns that, &#34;76% of manufacturers say visibility across their supply chain is limited. In the past, this meant delayed shipments or missed deadlines. In 2025, it can mean reputational damage, compliance violations or multi-million-dollar losses.&#34; The article further adds, &#34;With those risks in mind, 55% of supply chain leaders are increasing tech investment and 60% plan to spend more than US$1m on solutions such as orchestrated visibility platforms, cloud computing, predictive analytics and AI. Companies like Lenovo are investing heavily in AI-driven supply chain capabilities, highlighting how urgently Global 2000 enterprises are modernizing visibility, planning, and execution.&#34;</p>
<div class="lb-trans"><p>此次发布正值供应链领导者面临前所未有的波动之际。德勤的一项调查提到，&#34;76% 的制造商表示他们的供应链可视化有限。在过去，这意味着延迟发货或错过截止日期。在 2025 年，这可能意味着声誉损害、合规违规或数百万美元的损失。&#34; 文章进一步补充道，&#34;考虑到这些风险，55% 的供应链领导者正在增加技术投资，60% 计划在诸如协调可视化平台、云计算、预测分析和人工智能等解决方案上花费超过 100 万美元。像联想这样的公司正在大力投资于人工智能驱动的供应链能力，突显出全球 2000 强企业在现代化可视化、规划和执行方面的紧迫性。&#34;</p>
</div><p>Most control towers software modules are offered by two categories of companies: supply chain planning (SCP) tools or real-time transport visibility platforms (RTTVPs) built on carrier and milestone data. The first group is strong as a System of Record but slow to act because they rely on periodic refreshes and manual intervention. The second sees movement but lacks verifiable &amp; unified visibility, resulting in fragmented or delayed intelligence that cannot drive true real-time intervention. For years, enterprises relied on such control tower software or developed their own. Most still depend on human operators, planners, and GSOC-style teams to piece together context, escalate correctly, and enforce SOPs. As regulatory demands rise and shipment volumes surge, this human-dependent, polling-based model can no longer keep up.</p>
<div class="lb-trans"><p>大多数控制塔软件模块由两类公司提供：供应链规划（SCP）工具或基于承运人和里程碑数据的实时运输可视化平台（RTTVPs）。第一类在记录系统方面表现强劲，但由于依赖定期刷新和人工干预，反应较慢。第二类虽然有动态变化，但缺乏可验证和统一的可视化，导致信息碎片化或延迟，无法驱动真正的实时干预。多年来，企业依赖这种控制塔软件或自行开发。大多数仍依赖人工操作员、规划人员和 GSOC 风格的团队来拼凑上下文、正确升级和执行标准操作程序。随着监管要求的增加和发货量的激增，这种依赖人力的轮询模型已无法跟上。</p>
</div><p>RADAR is different. Built on unified visibility—streaming track &amp; trace, milestone data, carrier, environmental, and product behavior signals—it acts as a real-time System of Action that correlates events, anticipates risks, and executes the right response instantly. Its AI analyzes emerging patterns, classifies risks, anticipates disruptions, and determines the exact interventions required. From there, RADAR's autonomous agents initiate the response—whether it is with AI voice calling a driver stopped at a high-risk zone, escalating to quality and security teams, enforcing lane-specific SOP violations, or routing decisions to the apprise internal owners with full context. The result is a level of unmatched speed, consistency, and accountability that manual control towers simply cannot achieve.</p>
<div class="lb-trans"><p>RADAR 有所不同。基于统一可视化——流式跟踪与追踪、里程碑数据、承运人、环境和产品行为信号——它充当实时行动系统，关联事件、预测风险，并立即执行正确的响应。其人工智能分析新兴模式、分类风险、预测干扰，并确定所需的确切干预措施。从那里，RADAR 的自主代理发起响应——无论是通过人工智能语音呼叫停在高风险区域的司机，升级到质量和安全团队，执行特定车道的标准操作程序违规，还是将决策路由给内部负责人以提供完整的上下文。结果是一个无与伦比的速度、一致性和问责制的水平，这是人工控制塔无法实现的。</p>
</div><p>&#34;Visibility helped supply chains see, but visibility alone cannot operate a modern supply chain network,&#34; said Sanjay Sharma, CEO of Decklar. &#34;RADAR is the first AI-native Logistics Control Tower Platform built as a real-time System of Action for execution and intervention across 100% of the supply chain network. It understands what's happening, knows what needs to happen next, and acts instantly including picking up the phone and having a conversation with vehicle operators or other supply chain stakeholders. This is the level of intelligence the next decade of supply chain resilience will be built on.&#34;</p>
<div class="lb-trans"><p>&#34;可视化帮助供应链看见，但仅靠可视化无法运营现代供应链网络，&#34; Decklar 首席执行官 Sanjay Sharma 表示。&#34;RADAR 是首个作为实时行动系统构建的人工智能原生物流控制塔平台，能够在 100% 的供应链网络中执行和干预。它理解正在发生的事情，知道接下来需要发生什么，并立即采取行动，包括拨打电话与车辆操作员或其他供应链利益相关者进行对话。这是未来十年供应链韧性将建立的智能水平。&#34;</p>
</div><p>Early enterprise deployments show the impact of this approach. A global chocolatier improved cold chain compliance from 57% to over 90% while avoiding an expensive transport infrastructure overhauls and strengthening retailer confidence in a region. A regulated global CPG leader brought its ocean network under real-time control across 120+ countries, reducing detention, demurrage, unnecessary air freight, and stockout risk. Across these networks, RADAR has unlocked more than $17 million in combined annual value in top and bottom lines for these companies. In pharma distribution, RADAR is configured to enable three times faster response to excursions and route deviations while reducing theft and temperature incidents dramatically.</p>
<div class="lb-trans"><p>早期企业部署显示了这种方法的影响。一家全球巧克力制造商将冷链合规率从 57% 提高到 90% 以上，同时避免了昂贵的运输基础设施改造，并增强了该地区零售商的信心。一家受监管的全球消费品领导者在 120 多个国家实现了其海洋网络的实时控制，减少了滞留、滞期、无需的空运和缺货风险。在这些网络中，RADAR 为这些公司解锁了超过 1700 万美元的年度综合价值。 在制药分销中，RADAR 被配置为使对偏差和路线偏离的响应速度提高三倍，同时显著减少盗窃和温度事件。</p>
</div><p>RADAR is now available globally. To explore the platform in detail, download the RADAR Adoption Guide at www.decklar.com/ai-platform/radar.</p>
<div class="lb-trans"><p>RADAR 现已在全球范围内推出。要详细了解该平台，请访问 www.decklar.com/ai-platform/radar 下载 RADAR 采用指南。</p>
</div><p><strong>About Decklar</strong></p>
<div class="lb-trans"><p><strong>关于 Decklar</strong></p>
</div><p>Decklar (formerly Roambee) pioneers Real-Time Decisions AI with Unified Visibility, reshaping the supply chains of Global 2000s to be transparent, automated, and sustainable. Within weeks, these enterprises transform key processes like replenishment, goods receipt, revenue forecasting, quality release, security, and asset management into dynamic, risk-informed operations. Despite over $25B spent globally on planning, TMS, and visibility tools, supply chains still stall: 60% of shipments arrive late, disrupting inventory plans; 17% face quality issues; and 76% of reusable assets go underutilized. Planning/TMS tools remain Systems of Record, relying on static or manual data. Visibility tools lack business context. Decklar closes this gap.</p>
<div class="lb-trans"><p>Decklar（前身为 Roambee）在统一可视化的基础上开创了实时决策人工智能，重塑全球 2000 强企业的供应链，使其变得透明、自动化和可持续。在几周内，这些企业将补货、货物接收、收入预测、质量释放、安全和资产管理等关键流程转变为动态、风险知情的操作。尽管全球在规划、运输管理系统和可视化工具上花费超过 250 亿美元，供应链仍然停滞不前：60% 的货物延迟到达，扰乱了库存计划；17% 面临质量问题；76% 的可重复使用资产未得到充分利用。规划/TMS 工具仍然是记录系统，依赖静态或手动数据。可视化工具缺乏商业背景。Decklar 填补了这一空白。</p>
</div><p>Built on 10+ years self-enriching supply chain visibility data, the Decklar's AI-native platform fuses real-time shipment and asset signals with Decision Intelligence—delivering precise execution and planning recommendations for Supply Chain, Logistics, Quality, Security, Operations, and Finance—functioning as a System of Action. Decklar's Real-Time Decisions AI now powers over 42% of U.S. pharmaceutical shipments, more than 66% of South Asia's confectionery, and about a quarter of global CPG shipments—measurably boosting top and bottom lines. Know more at https://www.decklar.com.</p>
<div class="lb-trans"><p>基于超过 10 年的自我丰富供应链可视化数据，Decklar 的人工智能原生平台将实时货运和资产信号与决策智能相结合——为供应链、物流、质量、安全、运营和财务提供精准的执行和规划建议——作为一个行动系统。Decklar 的实时决策人工智能目前支持超过 42% 的美国制药货运，超过 66% 的南亚糖果，以及约四分之一的全球消费品货运——显著提升了收入和利润。了解更多请访问 https://www.decklar.com。</p>
</div><p><strong>Media Contact</strong></p>
<div class="lb-trans"><p><strong>媒体联系</strong></p>
</div><p>Premsai Sainathan</p>
<div class="lb-trans"><p>Premsai Sainathan</p>
</div><p>Vice President – Growth &amp; Product Marketing</p>
<div class="lb-trans"><p>副总裁 – 增长与产品营销</p>
</div><p>Decklar</p>
<div class="lb-trans"><p>Decklar</p>
</div><p>[email protected]</p>
<div class="lb-trans"><p>[email protected]</p>
</div><p>+1 (408) 461-5221</p>
<div class="lb-trans"><p>+1 (408) 461-5221</p>
</div><p>SOURCE Decklar</p>
<div class="lb-trans"><p>来源 Decklar</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjUxMTEyJk5ld3NJdGVtSWQ9UEgyMTg5OCZUcmFuc21pc3Npb25fSWQ9MjAyNTExMTIwODM5UFJfTkVXU19VU1BSX19fX19QSDIxODk4" alt="" original-src="https://rt.prnewswire.com/rt.gif?NewsItemId=PH21898&amp;Transmission_Id=202511120839PR_NEWS_USPR_____PH21898&amp;DateId=20251112"/></p>

Decklar 推出 RADAR，这是首个完全自主的物流控制塔平台