<p>Axiom 的新门户使管理者和技术人员能够主动解决制冷剂泄漏、维护问题和能源机会，同时无缝连接现有的计算机化维护管理系统（CMMS）和制冷剂追踪系统（RTS）</p>
<p>, /PRNewswire/ -- Axiom Cloud，领先的多地点零售杂货和冷藏公司的人工智能驱动制冷管理平台提供商，今天宣布其下一代客户网页门户。新平台简化并优化了客户如何预测性地诊断、理解、批量处理、优先排序、调度和记录诸如制冷泄漏等问题。该现代平台还包括与领先的计算机化维护管理系统（CMMS）和制冷剂追踪系统（RTS）的集成，并且原生支持桌面和移动设备。</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>Axiom Cloud</p>
<p>该解决方案解决了一个关键的行业问题：泄漏管理、维护和能源效率通常是被动管理的，杂货零售商和冷藏运营商每月收到数千个温度警报，但由于数量庞大和缺乏可操作的指导，他们被迫忽视 98% 的警报。更糟糕的是，警报必须通过单独的工单管理系统转化为工单，而制冷剂泄漏必须在单独的制冷剂追踪系统中进行适当记录。对于许多人来说，将警报转化为行动涉及在多个不同系统中手动输入数据，以便将警报转化为修复，然后正确记录以保持合规性（记录对于制冷剂泄漏尤其重要）。</p>
<p>这反映了一个更广泛的行业挑战，即从 CMMS 平台到制冷控制器再到数据管理系统的运营基础设施变得过于昂贵和破坏性，无法更换。即使用户对其基础设施不满意，公司也在这些互联系统上投资了数百万，并围绕它们建立了整个工作流程，以提高运营效率。投资者和领导层更倾向于避免撕掉和更换之前基础设施投资的痛苦和费用。</p>
<p>为了应对许多零售杂货和冷藏运营商面临的现实，Axiom 的下一代客户网页门户旨在与现有的 CMMS 和 RTS 基础设施集成，同时大幅简化将洞察转化为行动的过程。该平台使用户能够查看每个站点的所有开放异常，并识别哪些问题可以在不派遣服务技术人员的情况下远程解决。它智能地将剩余异常批量处理并优先排序为现场访问列表，同时为每个问题提供实时状态更新。用户可以通过单击一次访问任何站点的所有实时和历史传感器数据，并无缝导出数据到现有的 CMMS/RTS 系统。</p>
<p>这个下一代客户网页门户旨在建立在 Axiom 已经提供的显著运营改进基础上：在 2025 年上半年，所有 Axiom 的客户实现了 71% 的 “及时解决率”，针对所有 AI 诊断的预测异常，通常有一部分问题可以在不派遣技术人员的情况下远程解决。该平台消除了许多夜间和周末的紧急电话，减少了加班成本和技术人员的疲惫。</p>
<p>“制冷行业一直在数据中挣扎，却缺乏行动，” Axiom Cloud 的首席执行官 Amrit Robbins 说。“我们的客户需要帮助来优先处理最重要的事项，并与他们已经依赖的工作流程无缝集成。这个下一代客户网页门户在不要求客户更换任何现有基础设施的情况下，提供了这两者。”</p>
<p>Axiom 增强的客户网页门户具有数据驱动的 “推荐批量处理和优先排序”，将每月数百条洞察转化为清晰的优先行动计划。该系统告诉维护团队首先访问哪个商店，以及到达时需要采取的具体行动。地理可视化通过批量处理附近的问题来实现高效的技术人员路线规划，而实时传感器数据提供了对所有资产和位置的实时可见性。</p>
<p>CMMS 集成自动生成工单，包括紧急程度排名、财务影响估算、可视数据证据、用简单英语进行的根本原因分析和具体行动步骤——一切都旨在最小化回访并提高首次修复率。该平台与现有的制冷控制器、数据连接、CMMS 平台和 RTS 解决方案集成。</p>
<p>对于像制冷剂泄漏管理这样的合规关键操作，Axiom 的新客户网页门户包括行业领先的自动泄漏检测（ALD），以便及早发现泄漏，通过现有 CMMS 自动调度服务电话以解决泄漏（由客户自行决定），并自动将数据导出到现有的 RTS 以满足文档/报告要求（同样由客户自行决定）。客户会收到 EPA、CARB、NY RMP 和其他州监管机构在所有适用站点所需的 ALD 合规报告。通过消除多个不同平台中的手动步骤，Axiom 使客户能够简化整个泄漏响应过程，避免监管审查（例如，错过泄漏修复或手动泄漏检查截止日期 1 天可能会触发 EPA 每日 57000 美元的罚款）。</p>
<p>“我们不是在销售数据可见性或洞察，而是在销售可衡量的商业成果，” Robbins 说。“我们的人工智能不仅识别问题；它还智能地批量处理/优先排序这些问题，并提供逐步解决的路线图，包括帮助初级技术人员在首次访问时成功的说明。”</p>
<p><strong>关于 Axiom Cloud</strong>：Axiom Cloud 是一个基于人工智能的制冷管理平台，帮助多地点零售杂货和冷藏公司转变其最关键的运营。其专门的人工智能分析来自制冷控制器的数据，以在泄漏成为紧急情况之前几周检测到它们，预测维护需求，并优化能源消耗，所有这些都无需新硬件。</p>
<p>Axiom 的人工智能经过超过 1,200 个站点年的制冷操作和 80,000 多个标记系统异常的训练，提供可衡量的商业成果，而不仅仅是数据可见性。该平台与现有基础设施无缝集成，并被美国环保署（EPA）和加州空气资源委员会（CARB）认可为符合自动泄漏检测要求。</p>
<p>Axiom Cloud 成立于 2020 年，总部位于圣荷西，得到了 Blue Bear Capital、Leadout Capital、Vela Partners、Toshiba Tec 和 WindSail Capital 的支持。访问：axiomcloud.ai。</p>
<p><strong>联系方式：</strong> Emily Torrans</p>
<p>Mahoney Communications Group</p>
<p>[email protected]</p>
<p>(212) 220-6045</p>
<p>来源 Axiom Cloud</p>
<p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjUwOTIzJk5ld3NJdGVtSWQ9UEg4MDcxNiZUcmFuc21pc3Npb25fSWQ9MjAyNTA5MjMwODQ5UFJfTkVXU19VU1BSX19fX19QSDgwNzE2?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-RGF0ZUlkPTIwMjUwOTIzJk5ld3NJdGVtSWQ9UEg4MDcxNiZUcmFuc21pc3Npb25fSWQ9MjAyNTA5MjMwODQ5UFJfTkVXU19VU1BSX19fX19QSDgwNzE2"/></p>

<p>Axiom Cloud 推出了一款增强版客户网页门户，旨在为多地点零售杂货和冷藏公司简化主动制冷管理。该平台与现有的计算机化维护管理系统（CMMS）和制冷剂追踪系统（RTS）集成，使用户能够高效处理制冷剂泄漏和维护问题。它具有实时异常跟踪、自动工单生成和合规报告等功能，显著提高了运营效率并减少了技术人员的工作负担。Axiom 的解决方案旨在将被动管理转变为主动策略，提升能源效率和合规性</p>

<p><em>Axiom's new portal enables managers and technicians to proactively address refrigerant leaks, maintenance issues, and energy opportunities while seamlessly connecting existing CMMS and RTS systems</em></p>
<div class="lb-trans"><p>Axiom 的新门户使管理者和技术人员能够主动解决制冷剂泄漏、维护问题和能源机会，同时无缝连接现有的计算机化维护管理系统（CMMS）和制冷剂追踪系统（RTS）</p>
</div><p>, /PRNewswire/ -- Axiom Cloud, provider of the leading AI-powered refrigeration management platform for multi-site retail grocery and cold storage companies, today announced its next-generation Customer Web Portal. The new platform simplifies and streamlines how customers predictively diagnose, understand, batch, prioritize, dispatch, and document issues such as refrigeration leaks. The modern platform also includes integrations with leading Computerized Maintenance Management Systems (CMMS) and Refrigerant Tracking Systems (RTS), and it is natively built for both desktop and mobile.</p>
<div class="lb-trans"><p>, /PRNewswire/ -- Axiom Cloud，领先的多地点零售杂货和冷藏公司的人工智能驱动制冷管理平台提供商，今天宣布其下一代客户网页门户。新平台简化并优化了客户如何预测性地诊断、理解、批量处理、优先排序、调度和记录诸如制冷泄漏等问题。该现代平台还包括与领先的计算机化维护管理系统（CMMS）和制冷剂追踪系统（RTS）的集成，并且原生支持桌面和移动设备。</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>Axiom Cloud</p>
<div class="lb-trans"><p>Axiom Cloud</p>
</div><p>This solution tackles a critical industry problem: leak management, maintenance, and energy efficiency are typically managed reactively today, with grocery retailers and cold storage operators receiving thousands of temperature alarms monthly, but they are forced to ignore 98% of them due to the overwhelming volume and lack of actionable guidance. To make matters worse, alarms must then be translated into work orders using a separate work-order management system, and refrigerant leaks must be properly documented in a separate Refrigerant Tracking System. For many, translating alarms into action involves manual data entry into multiple disparate systems in order to convert an alarm into a repair, and then properly document it to maintain regulatory compliance (documentation is especially important for refrigerant leaks).</p>
<div class="lb-trans"><p>该解决方案解决了一个关键的行业问题：泄漏管理、维护和能源效率通常是被动管理的，杂货零售商和冷藏运营商每月收到数千个温度警报，但由于数量庞大和缺乏可操作的指导，他们被迫忽视 98% 的警报。更糟糕的是，警报必须通过单独的工单管理系统转化为工单，而制冷剂泄漏必须在单独的制冷剂追踪系统中进行适当记录。对于许多人来说，将警报转化为行动涉及在多个不同系统中手动输入数据，以便将警报转化为修复，然后正确记录以保持合规性（记录对于制冷剂泄漏尤其重要）。</p>
</div><p>This reflects a broader industry challenge where operational infrastructure, from CMMS platforms to refrigeration controllers to data management systems, has become too expensive and disruptive to replace. Even if users are unhappy with their infrastructure, companies have invested millions in these interconnected systems and built entire workflows around them with the goal of increasing operating efficiencies. Investors and leadership prefer to avoid the pain and expense of ripping and replacing prior infrastructure investments.</p>
<div class="lb-trans"><p>这反映了一个更广泛的行业挑战，即从 CMMS 平台到制冷控制器再到数据管理系统的运营基础设施变得过于昂贵和破坏性，无法更换。即使用户对其基础设施不满意，公司也在这些互联系统上投资了数百万，并围绕它们建立了整个工作流程，以提高运营效率。投资者和领导层更倾向于避免撕掉和更换之前基础设施投资的痛苦和费用。</p>
</div><p>To address the realities many of its retail grocery and cold storage operators face, Axiom's next-generation Customer Web Portal is designed to integrate with existing CMMS and RTS infrastructure while dramatically simplifying the process of converting insights into actions. The platform enables users to see all open anomalies for each site and identify which issues can be resolved remotely without dispatching a service technician. It intelligently batches and triages remaining anomalies into prioritized site visit lists, while providing real-time status updates for each issue. Users can access all real-time and historical sensor data from any site with a single click and export data seamlessly to existing CMMS/RTS systems.</p>
<div class="lb-trans"><p>为了应对许多零售杂货和冷藏运营商面临的现实，Axiom 的下一代客户网页门户旨在与现有的 CMMS 和 RTS 基础设施集成，同时大幅简化将洞察转化为行动的过程。该平台使用户能够查看每个站点的所有开放异常，并识别哪些问题可以在不派遣服务技术人员的情况下远程解决。它智能地将剩余异常批量处理并优先排序为现场访问列表，同时为每个问题提供实时状态更新。用户可以通过单击一次访问任何站点的所有实时和历史传感器数据，并无缝导出数据到现有的 CMMS/RTS 系统。</p>
</div><p>This next-generation Customer Web Portal is designed to build upon the significant operational improvements that Axiom has already delivered: in the first half of 2025, all of Axiom's customers achieved a 71% &#34;timely resolution rate&#34; for all AI-diagnosed predictive anomalies that Axiom sent, with a subset of issues typically being resolved remotely without dispatching technicians. The platform eliminates many night and weekend emergency calls, reducing both overtime costs and technician burnout.</p>
<div class="lb-trans"><p>这个下一代客户网页门户旨在建立在 Axiom 已经提供的显著运营改进基础上：在 2025 年上半年，所有 Axiom 的客户实现了 71% 的 “及时解决率”，针对所有 AI 诊断的预测异常，通常有一部分问题可以在不派遣技术人员的情况下远程解决。该平台消除了许多夜间和周末的紧急电话，减少了加班成本和技术人员的疲惫。</p>
</div><p>&#34;The refrigeration industry has been drowning in data but starving for action,&#34; said Amrit Robbins, CEO of Axiom Cloud. &#34;Our customers needed help prioritizing what matters most and seamless integration with workflows that they already rely on. This next-generation customer web portal delivers both without requiring customers to replace any existing infrastructure.&#34;</p>
<div class="lb-trans"><p>“制冷行业一直在数据中挣扎，却缺乏行动，” Axiom Cloud 的首席执行官 Amrit Robbins 说。“我们的客户需要帮助来优先处理最重要的事项，并与他们已经依赖的工作流程无缝集成。这个下一代客户网页门户在不要求客户更换任何现有基础设施的情况下，提供了这两者。”</p>
</div><p>Axiom's enhanced Customer Web Portal features a data-driven 'Recommended Batching and Prioritization' that converts hundreds of monthly insights into clear, prioritized action plans. The system tells maintenance teams exactly which store to visit first and precisely what actions to take upon arrival. Geographic visualization enables efficient technician routing by batching nearby issues, while live sensor data provides real-time visibility across all assets and locations.</p>
<div class="lb-trans"><p>Axiom 增强的客户网页门户具有数据驱动的 “推荐批量处理和优先排序”，将每月数百条洞察转化为清晰的优先行动计划。该系统告诉维护团队首先访问哪个商店，以及到达时需要采取的具体行动。地理可视化通过批量处理附近的问题来实现高效的技术人员路线规划，而实时传感器数据提供了对所有资产和位置的实时可见性。</p>
</div><p>The CMMS integrations automatically generate work orders that include urgency rankings, financial impact estimates, visual data evidence, root cause analysis in plain English, and specific action steps – everything needed to minimize callbacks and increase first-time fix rates. The platform integrates with existing refrigeration controllers, data connections, CMMS platforms, and RTS solutions.</p>
<div class="lb-trans"><p>CMMS 集成自动生成工单，包括紧急程度排名、财务影响估算、可视数据证据、用简单英语进行的根本原因分析和具体行动步骤——一切都旨在最小化回访并提高首次修复率。该平台与现有的制冷控制器、数据连接、CMMS 平台和 RTS 解决方案集成。</p>
</div><p>For compliance-critical operations like refrigerant leak management, Axiom's new Customer Web Portal includes industry-leading Automatic Leak Detection (ALD) to detect the leak early, automated dispatch of a service call via the existing CMMS to address the leak (at the customer's discretion), and automatic export of data to the existing RTS for documentation/reporting requirements (also at the customer's discretion). Customers receive required ALD compliance reports for the EPA, CARB, NY RMP, and other state regulatory authorities across all applicable sites. By eliminating manual steps in multiple disparate platforms, Axiom enables customers to streamline the entire leak response process and avoid regulatory scrutiny (for example, missing a leak repair or manual leak inspection deadline by 1 day can trigger $57,000 in daily fines from the EPA).</p>
<div class="lb-trans"><p>对于像制冷剂泄漏管理这样的合规关键操作，Axiom 的新客户网页门户包括行业领先的自动泄漏检测（ALD），以便及早发现泄漏，通过现有 CMMS 自动调度服务电话以解决泄漏（由客户自行决定），并自动将数据导出到现有的 RTS 以满足文档/报告要求（同样由客户自行决定）。客户会收到 EPA、CARB、NY RMP 和其他州监管机构在所有适用站点所需的 ALD 合规报告。通过消除多个不同平台中的手动步骤，Axiom 使客户能够简化整个泄漏响应过程，避免监管审查（例如，错过泄漏修复或手动泄漏检查截止日期 1 天可能会触发 EPA 每日 57000 美元的罚款）。</p>
</div><p>&#34;We're not selling data visibility or insights, we're selling measurable business outcomes,&#34; said Robbins. &#34;Our AI doesn't just identify problems; it also intelligently batches/prioritizes them and provides step-by-step roadmaps to solve them, including instructions that help even junior technicians succeed on their first visit.&#34;</p>
<div class="lb-trans"><p>“我们不是在销售数据可见性或洞察，而是在销售可衡量的商业成果，” Robbins 说。“我们的人工智能不仅识别问题；它还智能地批量处理/优先排序这些问题，并提供逐步解决的路线图，包括帮助初级技术人员在首次访问时成功的说明。”</p>
</div><p><strong>About Axiom Cloud</strong>: Axiom Cloud is the AI-driven refrigeration management platform, helping multisite retail grocery and cold storage companies transform their most critical operations. Its specialized AI analyzes data from refrigeration controllers to detect leaks weeks before they become emergencies, predict maintenance needs, and optimize energy consumption, all without requiring new hardware.</p>
<div class="lb-trans"><p><strong>关于 Axiom Cloud</strong>：Axiom Cloud 是一个基于人工智能的制冷管理平台，帮助多地点零售杂货和冷藏公司转变其最关键的运营。其专门的人工智能分析来自制冷控制器的数据，以在泄漏成为紧急情况之前几周检测到它们，预测维护需求，并优化能源消耗，所有这些都无需新硬件。</p>
</div><p>Trained on over 1,200 site-years of refrigeration operations and 80,000+ labeled system anomalies, Axiom's AI delivers measurable business outcomes rather than just data visibility. The platform integrates seamlessly with existing infrastructure and is recognized by both the EPA and CARB as compliant with automatic leak detection requirements.</p>
<div class="lb-trans"><p>Axiom 的人工智能经过超过 1,200 个站点年的制冷操作和 80,000 多个标记系统异常的训练，提供可衡量的商业成果，而不仅仅是数据可见性。该平台与现有基础设施无缝集成，并被美国环保署（EPA）和加州空气资源委员会（CARB）认可为符合自动泄漏检测要求。</p>
</div><p>Founded in 2020 and based in San Jose, Axiom Cloud is backed by Blue Bear Capital, Leadout Capital, Vela Partners, Toshiba Tec, and WindSail Capital. Visit: axiomcloud.ai.</p>
<div class="lb-trans"><p>Axiom Cloud 成立于 2020 年，总部位于圣荷西，得到了 Blue Bear Capital、Leadout Capital、Vela Partners、Toshiba Tec 和 WindSail Capital 的支持。访问：axiomcloud.ai。</p>
</div><p><strong>Contact:</strong> Emily Torrans</p>
<div class="lb-trans"><p><strong>联系方式：</strong> Emily Torrans</p>
</div><p>Mahoney Communications Group</p>
<div class="lb-trans"><p>Mahoney Communications Group</p>
</div><p>[email protected]</p>
<div class="lb-trans"><p>[email protected]</p>
</div><p>(212) 220-6045</p>
<div class="lb-trans"><p>(212) 220-6045</p>
</div><p>SOURCE Axiom Cloud</p>
<div class="lb-trans"><p>来源 Axiom Cloud</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjUwOTIzJk5ld3NJdGVtSWQ9UEg4MDcxNiZUcmFuc21pc3Npb25fSWQ9MjAyNTA5MjMwODQ5UFJfTkVXU19VU1BSX19fX19QSDgwNzE2" alt="" original-src="https://rt.prnewswire.com/rt.gif?NewsItemId=PH80716&amp;Transmission_Id=202509230849PR_NEWS_USPR_____PH80716&amp;DateId=20250923"/></p>

Axiom Cloud 通过改进的客户门户和 CMMS/RTS 集成优化了主动制冷管理