<p>IFS.ai 物流将基于人工智能的规划、零接触执行、货运审计和网络优化整合为一个闭环操作系统——将物流从一个难以管理的成本中心转变为战略优势。</p>
<p>, /PRNewswire/ -- IFS，工业人工智能软件的领先提供商，今天宣布推出 IFS.ai 物流，这是一个专为运营复杂的多承运人、多区域运输网络的企业量身定制的人工智能驱动的物流智能平台。该新解决方案将工业人工智能扩展到材料和货物的物理移动——这是全球工业企业的运营核心。IFS 已为其客户管理 2.4 万亿美元的关键资产；IFS.ai 物流增加了物流智能层，将运营决策与整个供应链的财务结果连接起来。</p>
<p>在 2025 年收购的 7bridges 技术基础上，IFS.ai 物流提供一个涵盖运输规划、自动执行、货运审计、成本治理和持续网络优化的闭环操作系统。它在 IFS Cloud 内运行，与企业资产管理、现场服务管理、企业资源规划和供应链管理并行，并且可以与第三方平台组合，减少管理复杂多系统环境的企业的采用摩擦。</p>
<p><strong>克服高成本的物流盲点</strong></p>
<p>如今，企业在运输上的支出占收入的 5% 到 10%，然而物流仍然是最难以管理的成本之一。数据在承运人、地区、遗留系统和电子表格之间是碎片化的。结果是：物流团队处于被动状态，无法对他们看不到、无法信任或比较的数据采取行动。对于大型制造商和物流提供商而言，货运支出中 1% 的低效可能意味着每年数千万或数亿美元的可避免成本。在当前全球物流市场价值超过 9 万亿美元，并预计在十年内接近 20 万亿美元的背景下，行业需要结构性转型，而不是增量自动化。</p>
<p><strong>IFS.ai 物流直接解决了四个能力领域的问题：</strong></p>
<ul>
<li>基于人工智能的运输规划和承运人选择用智能优化替代手动决策，涵盖运输模式、运输段和贸易通道。</li>
<li>零接触自动执行通过实时货物可视化和智能异常处理消除预订错误和运营开销。</li>
<li>一种财务级货运审计引擎在逐项级别验证每一张发票，应用自动化的总账编码，揭示账单差异，并管理争议工作流程以回收损失。</li>
<li>网络智能和仿真层使得持续的假设场景建模成为可能，从承运人策略和成本预测到排放规划和采购整合。</li>
</ul>
<p>支撑这四个能力的是一个物流原生数据模型，它将碎片化的运输数据标准化和协调为一个可信的智能层，提供一个真实来源用于报告、预测和持续的网络改进。</p>
<p>IFS.ai 物流总裁 Philip Ashton 评论道：“物流是全球工业中最大、最常被干扰且最难以管理的成本类别之一，其后果直接体现在 EBITDA 上。在过去五年中，我们看到当人工智能在特定行业应用（如企业物流运营）中大规模应用时，客户可以在几周内捕获价值——他们开始保护利润、提高服务可靠性并增加运营灵活性。通过 IFS.ai 物流，我们正是提供了这一点：一个人工智能驱动的平台，闭合每一个运营物流决策与其财务后果之间的循环。这是应用于最重要领域的工业人工智能。”</p>
<p>IFS.ai 物流的推出建立在 IFS 在物理供应链持续扩展的基础上。与最近收购的 IFS Softeon 仓库管理和履行解决方案一起，IFS.ai 物流引入了一个智能层，将运输规划、自动执行、货运审计和网络优化连接起来。这些能力共同帮助组织创建一个更连贯的材料和货物流动，从仓库运营到最终交付，使得在库存、履行、承运人选择、运输执行和货运成本管理等方面做出更明智的决策。</p>
<p>Futurum Group 的副总裁兼研究总监 Keith Kirkpatrick 评论道：“Futurum 的研究显示，近一半的企业决策者计划在供应链管理中部署自主人工智能，而供应链软件领域正加速向 2031 年的两位数年增长迈进。然而，目前的供应商格局仍然被从未为人工智能原生智能设计的遗留规划和执行工具主导。IFS.ai 物流填补了一个真正的市场空白——将闭环人工智能带入运输规划、执行、审计和优化的单一平台。对于在货运和运输上花费收入的 5% 到 10% 的工业企业而言，将每一个物流决策与其财务后果连接起来的能力是变革性的。”</p>
<p>IFS.ai 物流现已上线。如需更多信息或请求演示，请访问：IFS.ai Logistics | AI for Logistics Transport Cost and Control.(在新标签中打开)</p>
<p>该公告是在 IFS 全球 Connect 2026 系列的首次活动上发布的，届时 IFS 客户和合作伙伴齐聚一堂，加速工业人工智能从概念到竞争优势的采用。IFS Connect 活动将在 2026 年全球范围内安排——了解更多信息：IFS Connect(在新标签中打开)</p>
<p><strong>IFS 媒体联系人：</strong></p>
<p>欧洲 / 中东和非洲 / 亚太地区：Adam Gillbe</p>
<p>IFS，企业与高管沟通总监</p>
<p>电子邮件：[email protected]</p>
<p>北美 / 拉丁美洲：Mairi Morgan</p>
<p>IFS，企业与高管沟通总监</p>
<p>电子邮件：[email protected]</p>
<p>此信息由 Cision 提供 http://news.cision.com</p>
<p>以下文件可供下载：</p>
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<td>https://mb.cision.com/Public/855/4319153/822245fe273fdb96_org.png</td>
<td>IFS ai Logistics 新形象</td>
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<p>来源 IFS</p>
<p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwMzEwJk5ld3NJdGVtSWQ9Q0cwNjUzMCZUcmFuc21pc3Npb25fSWQ9MjAyNjAzMTAwNzIwUFJfTkVXU19VU1BSX19fX19DRzA2NTMw?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-RGF0ZUlkPTIwMjYwMzEwJk5ld3NJdGVtSWQ9Q0cwNjUzMCZUcmFuc21pc3Npb25fSWQ9MjAyNjAzMTAwNzIwUFJfTkVXU19VU1BSX19fX19DRzA2NTMw"/></p>

<p>IFS 推出了 IFS.ai 物流，这是一个为拥有复杂运输网络的企业设计的人工智能驱动的物流智能平台。该平台将基于人工智能的规划、自动化执行、货运审计和网络优化整合为一个统一的操作循环，将物流转变为战略优势。它旨在解决物流支出中的低效问题，这可能会显著影响盈利能力。该解决方案现已上线，并且是 IFS 通过先进的人工智能能力增强供应链管理的更广泛战略的一部分</p>

<p>IFS.ai Logistics unites AI-driven planning, zero-touch execution, freight audit, and network optimization into a single closed operational loop – turning logistics from a hard-to-govern cost center into a strategic advantage</p>
<div class="lb-trans"><p>IFS.ai 物流将基于人工智能的规划、零接触执行、货运审计和网络优化整合为一个闭环操作系统——将物流从一个难以管理的成本中心转变为战略优势。</p>
</div><p>, /PRNewswire/ -- IFS, the leading provider of Industrial AI software, today announced the launch of IFS.ai Logistics, an AI-powered logistics intelligence platform purpose-built for enterprises operating complex, multi-carrier, multi-region transport networks. The new solution extends Industrial AI into the physical movement of materials and goods – the operational heartbeat of industrial enterprises worldwide. IFS already manages $2.4 trillion in critical assets for its customers; IFS.ai Logistics adds the logistics intelligence layer that connects operational decisions to financial outcomes across the full supply chain.</p>
<div class="lb-trans"><p>, /PRNewswire/ -- IFS，工业人工智能软件的领先提供商，今天宣布推出 IFS.ai 物流，这是一个专为运营复杂的多承运人、多区域运输网络的企业量身定制的人工智能驱动的物流智能平台。该新解决方案将工业人工智能扩展到材料和货物的物理移动——这是全球工业企业的运营核心。IFS 已为其客户管理 2.4 万亿美元的关键资产；IFS.ai 物流增加了物流智能层，将运营决策与整个供应链的财务结果连接起来。</p>
</div><p>Building beyond 7bridges technology, which was acquired in 2025, IFS.ai Logistics delivers a single closed operational loop spanning transport planning, automated execution, freight audit, cost governance, and continuous network optimization. It operates within IFS Cloud, alongside Enterprise Asset Management, Field Service Management, Enterprise Resource Planning and Supply Chain Management and is composable with third-party platforms, reducing adoption friction for enterprises managing complex multi-system environments.</p>
<div class="lb-trans"><p>在 2025 年收购的 7bridges 技术基础上，IFS.ai 物流提供一个涵盖运输规划、自动执行、货运审计、成本治理和持续网络优化的闭环操作系统。它在 IFS Cloud 内运行，与企业资产管理、现场服务管理、企业资源规划和供应链管理并行，并且可以与第三方平台组合，减少管理复杂多系统环境的企业的采用摩擦。</p>
</div><p><strong>Overcoming costly logistics blind spots</strong></p>
<div class="lb-trans"><p><strong>克服高成本的物流盲点</strong></p>
</div><p>Enterprises today spend five to ten percent of revenue on transportation, yet logistics remains one of the hardest costs to govern. Data is fragmented across carriers, regions, legacy systems and spreadsheets. The result: logistics teams in reactive mode, unable to act on data they cannot see, trust, or compare. For large manufacturers and logistics providers, a one-percent inefficiency in freight spend can represent tens or hundreds of millions of dollars in avoidable annual cost. Against a global logistics market valued above $9 trillion today and projected to approach $20 trillion within the decade, the industry needs structural transformation, not incremental automation.</p>
<div class="lb-trans"><p>如今，企业在运输上的支出占收入的 5% 到 10%，然而物流仍然是最难以管理的成本之一。数据在承运人、地区、遗留系统和电子表格之间是碎片化的。结果是：物流团队处于被动状态，无法对他们看不到、无法信任或比较的数据采取行动。对于大型制造商和物流提供商而言，货运支出中 1% 的低效可能意味着每年数千万或数亿美元的可避免成本。在当前全球物流市场价值超过 9 万亿美元，并预计在十年内接近 20 万亿美元的背景下，行业需要结构性转型，而不是增量自动化。</p>
</div><p><strong>IFS.ai Logistics addresses this directly across four capability areas:</strong></p>
<div class="lb-trans"><p><strong>IFS.ai 物流直接解决了四个能力领域的问题：</strong></p>
</div><ul>
<li>AI-driven transport planning and carrier selection replace manual decision-making with intelligence-led optimization across modes, legs, and trade lanes.</li>
<li>Zero-touch automated execution eliminates booking errors and operational overhead with real-time shipment visibility and intelligent exception handling.</li>
<li>A finance-grade freight audit engine validates every invoice at line-item level, applying automated GL coding, surfacing billing discrepancies, and managing dispute workflows to recover leakage.</li>
<li>A network intelligence and simulation layer enables continuous what-if scenario modelling, from carrier strategy and cost forecasting to emissions planning and procurement consolidation.</li>
</ul>
<div class="lb-trans"><ul>
<li>基于人工智能的运输规划和承运人选择用智能优化替代手动决策，涵盖运输模式、运输段和贸易通道。</li>
<li>零接触自动执行通过实时货物可视化和智能异常处理消除预订错误和运营开销。</li>
<li>一种财务级货运审计引擎在逐项级别验证每一张发票，应用自动化的总账编码，揭示账单差异，并管理争议工作流程以回收损失。</li>
<li>网络智能和仿真层使得持续的假设场景建模成为可能，从承运人策略和成本预测到排放规划和采购整合。</li>
</ul>
</div><p>Underpinning all four capabilities is a logistics-native data model that standardizes and harmonizes fragmented transport data into a single trusted intelligence layer with one source of truth for reporting, forecasting, and continuous network improvement.</p>
<div class="lb-trans"><p>支撑这四个能力的是一个物流原生数据模型，它将碎片化的运输数据标准化和协调为一个可信的智能层，提供一个真实来源用于报告、预测和持续的网络改进。</p>
</div><p>Philip Ashton, President, IFS.ai Logistics, commented: &#34;Logistics is one of the largest, most frequently disrupted and least-governed cost categories in global industry, and the consequences show up directly in EBITDA. Over the last five years we have seen that when AI is applied at scale, directly inside specific industry applications, like enterprise logistics operations, customers can capture value within weeks – they begin to protect margin, improve service reliability, and increase operational agility. With IFS.ai Logistics, this is exactly what we are delivering: an AI-driven platform that closes the loop between every operational logistics decision and its financial consequence. This is Industrial AI applied where it matters most.&#34;</p>
<div class="lb-trans"><p>IFS.ai 物流总裁 Philip Ashton 评论道：“物流是全球工业中最大、最常被干扰且最难以管理的成本类别之一，其后果直接体现在 EBITDA 上。在过去五年中，我们看到当人工智能在特定行业应用（如企业物流运营）中大规模应用时，客户可以在几周内捕获价值——他们开始保护利润、提高服务可靠性并增加运营灵活性。通过 IFS.ai 物流，我们正是提供了这一点：一个人工智能驱动的平台，闭合每一个运营物流决策与其财务后果之间的循环。这是应用于最重要领域的工业人工智能。”</p>
</div><p>The launch of IFS.ai Logistics builds on IFS's continued expansion across the physical supply chain. Alongside solutions such as the recently acquired IFS Softeon for warehouse management and fulfillment, IFS.ai Logistics introduces an intelligence layer that connects transport planning, automated execution, freight audit, and network optimization. Together, these capabilities help organizations create a more connected flow of materials and goods from warehouse operations through to final delivery, enabling more informed decisions across inventory, fulfillment, carrier selection, transport execution, and freight cost management.</p>
<div class="lb-trans"><p>IFS.ai 物流的推出建立在 IFS 在物理供应链持续扩展的基础上。与最近收购的 IFS Softeon 仓库管理和履行解决方案一起，IFS.ai 物流引入了一个智能层，将运输规划、自动执行、货运审计和网络优化连接起来。这些能力共同帮助组织创建一个更连贯的材料和货物流动，从仓库运营到最终交付，使得在库存、履行、承运人选择、运输执行和货运成本管理等方面做出更明智的决策。</p>
</div><p>Keith Kirkpatrick, VP &amp; Research Director, The Futurum Group, commented: &#34;Futurum's research shows that nearly half of enterprise decision-makers are planning agentic AI deployments in supply chain management, and the supply chain software segment is accelerating toward double-digit annual growth through 2031. Yet the current vendor landscape remains dominated by legacy planning and execution tools that were never designed for AI-native intelligence. IFS.ai Logistics addresses a genuine market gap - bringing closed-loop AI across transport planning, execution, audit, and optimization into a single platform. For industrial enterprises spending five to ten percent of revenue on freight and transportation, the ability to connect every logistics decision to its financial consequence is transformational.&#34;</p>
<div class="lb-trans"><p>Futurum Group 的副总裁兼研究总监 Keith Kirkpatrick 评论道：“Futurum 的研究显示，近一半的企业决策者计划在供应链管理中部署自主人工智能，而供应链软件领域正加速向 2031 年的两位数年增长迈进。然而，目前的供应商格局仍然被从未为人工智能原生智能设计的遗留规划和执行工具主导。IFS.ai 物流填补了一个真正的市场空白——将闭环人工智能带入运输规划、执行、审计和优化的单一平台。对于在货运和运输上花费收入的 5% 到 10% 的工业企业而言，将每一个物流决策与其财务后果连接起来的能力是变革性的。”</p>
</div><p>IFS.ai Logistics is available now. For more information or to request a demonstration, visit: IFS.ai Logistics | AI for Logistics Transport Cost and Control.(Opens in a new tab)</p>
<div class="lb-trans"><p>IFS.ai 物流现已上线。如需更多信息或请求演示，请访问：IFS.ai Logistics | AI for Logistics Transport Cost and Control.(在新标签中打开)</p>
</div><p>The announcement comes at the first event in IFS's global Connect 2026 series, where IFS customers and partners come together to accelerate Industrial AI adoption from concept to competitive advantage. IFS Connect events are scheduled globally throughout 2026 – learn more: IFS Connect(Opens in a new tab)</p>
<div class="lb-trans"><p>该公告是在 IFS 全球 Connect 2026 系列的首次活动上发布的，届时 IFS 客户和合作伙伴齐聚一堂，加速工业人工智能从概念到竞争优势的采用。IFS Connect 活动将在 2026 年全球范围内安排——了解更多信息：IFS Connect(在新标签中打开)</p>
</div><p><strong>IFS Press Contacts:</strong></p>
<div class="lb-trans"><p><strong>IFS 媒体联系人：</strong></p>
</div><p>EUROPE / MEA / APJ: Adam Gillbe</p>
<div class="lb-trans"><p>欧洲 / 中东和非洲 / 亚太地区：Adam Gillbe</p>
</div><p>IFS, Director of Corporate &amp; Executive Communications</p>
<div class="lb-trans"><p>IFS，企业与高管沟通总监</p>
</div><p>Email: [email protected]</p>
<div class="lb-trans"><p>电子邮件：[email protected]</p>
</div><p>NORTH AMERICA / LATAM: Mairi Morgan</p>
<div class="lb-trans"><p>北美 / 拉丁美洲：Mairi Morgan</p>
</div><p>IFS, Director of Corporate &amp; Executive Communications</p>
<div class="lb-trans"><p>IFS，企业与高管沟通总监</p>
</div><p>Email: [email protected]</p>
<div class="lb-trans"><p>电子邮件：[email protected]</p>
</div><p>This information was brought to you by Cision http://news.cision.com</p>
<div class="lb-trans"><p>此信息由 Cision 提供 http://news.cision.com</p>
</div><p>The following files are available for download:</p>
<div class="lb-trans"><p>以下文件可供下载：</p>
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<td>IFS ai Logistics new image</td>
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<td>IFS ai Logistics 新形象</td>
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</div><p>SOURCE IFS</p>
<div class="lb-trans"><p>来源 IFS</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwMzEwJk5ld3NJdGVtSWQ9Q0cwNjUzMCZUcmFuc21pc3Npb25fSWQ9MjAyNjAzMTAwNzIwUFJfTkVXU19VU1BSX19fX19DRzA2NTMw" alt="" original-src="https://rt.prnewswire.com/rt.gif?NewsItemId=CG06530&amp;Transmission_Id=202603100720PR_NEWS_USPR_____CG06530&amp;DateId=20260310"/></p>

IFS 推出 IFS.ai 物流，利用工业人工智能变革企业运输管理