<p>德克薩斯州休斯頓 --（Newsfile Corp. -2026 年 5 月 21 日）- MultiSensor AI Holdings, Inc.（納斯達克：MSAI）（&#34;MSAI&#34;、&#34;MultiSensor AI&#34;或&#34;公司&#34;）今天宣佈，將在 2026 年供應鏈峯會（SupplyChainPoint 2026）上展示持續狀態智能如何轉變分銷和履行操作，會議將於 5 月 31 日至 6 月 3 日在德克薩斯州伍德蘭舉行。公司將呈現&#34; <em>分銷中的可見性差距：持續狀態智能如何保護生產力、安全和運營支出</em>&#34; - 一場高管級別的探討，探討早期退化檢測如何將操作緊急情況轉變為計劃干預。</p>
<p>現代分銷中心依賴於以空前速度運行的輸送和分揀系統。然而，大多數設施仍然依賴於定期的預防性維護和人工檢查路線，這些方法無法捕捉到檢查之間逐漸出現的微妙退化。當故障發生時，操作會失去吞吐量，錯過合同履行義務，產生緊急維修費用，並使團隊面臨不必要的安全風險。</p>
<p>在本次演講中，銷售高級總監 Steve Cunningham 和產品賦能高級總監 James Newman 將分析三個真實客户案例，展示 MultiSensor AI 解決方案如何幫助分銷領導者更早地檢測退化，保護生產力，減少安全風險，並優化維護支出。該會議強調了從反應性緊急維修轉向預測性、計劃性干預的操作和財務影響。</p>
<p>關鍵主題包括：</p>
<ul>
<li>傳統監測方法錯過關鍵的早期警告信號。定期檢查和閾值警報僅捕捉到一個時刻，造成高速操作中的盲點。</li>
<li>生產力依賴於及時的威脅檢測。未被發現的設備退化可能會停止整個生產線，立即影響吞吐量和人工成本。</li>
<li>當持續可見性取代人工地面檢查時，安全性得以改善。團隊可以遠程檢測危險的電氣或機械條件，減少人身暴露。</li>
<li>維護成為一個頂線槓桿，而不是成本中心。可預測的、計劃的干預直接支持吞吐量、勞動生產力、合規性和成本優化。</li>
</ul>
<p><strong>關於 MultiSensor AI</strong></p>
<p>MultiSensor AI 是一個多傳感器狀態智能解決方案，適用於高吞吐量和高度自動化的工業操作。通過將熱、振動、環境和視覺傳感器數據統一到一個平台 MSAI Connect 上，MultiSensor AI 使可靠性團隊能夠主動保護正常運行時間，降低維護成本，提高安全性，並延長其最關鍵資產的使用壽命。有關更多信息，請訪問 www.multisensorai.com。</p>
<p><strong>前瞻性聲明</strong></p>
<p>本新聞稿包含根據 1933 年證券法第 27A 條、1934 年證券交易法第 21E 條以及 1995 年美國私人證券訴訟改革法的安全港條款的&#34;前瞻性聲明&#34;。在某些情況下，前瞻性聲明可以通過諸如&#34;預期&#34;、&#34;相信&#34;、&#34;可能&#34;、&#34;估計&#34;、&#34;期望&#34;、&#34;打算&#34;、&#34;計劃&#34;、&#34;將&#34;、&#34;會&#34;或這些詞的否定或變體，或類似表達來識別。所有在本新聞稿中包含的與歷史事實無關的聲明應視為前瞻性聲明，包括但不限於關於管理層對其戰略優先事項和目標、平台性能、未來計劃和商業前景的預期的聲明。這些前瞻性聲明受到風險、不確定性和假設的影響，其中一些超出了我們的控制範圍。此外，這些前瞻性聲明反映了我們對未來事件的當前看法，並不保證未來的表現。實際結果可能因多種因素而與前瞻性聲明中包含的信息有實質性差異，包括在公司截至 2025 年 12 月 31 日的年度報告的風險因素部分中識別的因素，這些因素可能會不時更新在公司向 SEC 提交的其他文件中。由於前瞻性聲明本質上受到風險和不確定性的影響，因此您不應將這些前瞻性聲明視為未來事件的預測。本文中所做的任何前瞻性聲明僅基於當前可用的信息，並僅在聲明之日有效。除非適用法律要求，否則公司明確拒絕任何公開更新任何前瞻性聲明的義務，無論是書面還是口頭，可能會不時做出，無論是由於新信息、未來發展還是其他原因。</p>
<p>來源：MultiSensor AI Holdings, Inc.</p>
<p><img src="https://imageproxy.pbkrs.com/https://images.newsfilecorp.com/files/11863/298298_72b6414a044649ee_logo.jpg?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://images.newsfilecorp.com/files/11863/298298_72b6414a044649ee_logo.jpg"/></p>
<p>要查看本新聞稿的源版本，請訪問 https://www.newsfilecorp.com/release/298298</p>
<p><img src="https://imageproxy.pbkrs.com/https://api.newsfilecorp.com/newsinfo/298298/375?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://api.newsfilecorp.com/newsinfo/298298/375"/></p>

MSAI

<p>MultiSensor AI Holdings, Inc.（納斯達克代碼：MSAI）將在 2026 年供應鏈峯會上介紹持續狀態智能如何提升分銷運營。演講將涵蓋早期退化檢測的重要性，以提高生產力、安全性和維護成本。主要主題包括傳統監測方法的侷限性和預測性維護的好處。會議將展示案例研究，證明從被動干預轉向計劃干預的運營和財務優勢</p>

<p>Houston, Texas--(Newsfile Corp. - May 21, 2026) - MultiSensor AI Holdings, Inc. (NASDAQ: MSAI) (&#34;MSAI&#34;, &#34;MultiSensor AI&#34; or the &#34;Company&#34;) today announced it will showcase how continuous condition intelligence transforms distribution and fulfillment operations at SupplyChainPoint 2026, May 31 - June 3 in The Woodlands, Texas. The Company will present &#34; <em>The Visibility Gap in Distribution: How Continuous Condition Intelligence Protects Productivity, Safety, and OpEx</em>&#34; - an executive-level exploration of how early degradation detection converts operational emergencies into planned interventions.</p>
<div class="lb-trans"><p>德克薩斯州休斯頓 --（Newsfile Corp. -2026 年 5 月 21 日）- MultiSensor AI Holdings, Inc.（納斯達克：MSAI）（&#34;MSAI&#34;、&#34;MultiSensor AI&#34;或&#34;公司&#34;）今天宣佈，將在 2026 年供應鏈峯會（SupplyChainPoint 2026）上展示持續狀態智能如何轉變分銷和履行操作，會議將於 5 月 31 日至 6 月 3 日在德克薩斯州伍德蘭舉行。公司將呈現&#34; <em>分銷中的可見性差距：持續狀態智能如何保護生產力、安全和運營支出</em>&#34; - 一場高管級別的探討，探討早期退化檢測如何將操作緊急情況轉變為計劃干預。</p>
</div><p>Modern distribution centers rely on conveyance and sortation systems running at unprecedented speeds. Yet most facilities still depend on scheduled preventive maintenance and manual inspection routes - approaches that miss the subtle degradation that develops between inspections. When failures occur, operations lose throughput, miss contractual performance obligations, incur emergency repair costs, and expose teams to unnecessary safety risk.</p>
<div class="lb-trans"><p>現代分銷中心依賴於以空前速度運行的輸送和分揀系統。然而，大多數設施仍然依賴於定期的預防性維護和人工檢查路線，這些方法無法捕捉到檢查之間逐漸出現的微妙退化。當故障發生時，操作會失去吞吐量，錯過合同履行義務，產生緊急維修費用，並使團隊面臨不必要的安全風險。</p>
</div><p>In this presentation, Steve Cunningham, Senior Director of Sales, and James Newman, Senior Director of Product Enablement, will analyze three real-world customer case studies demonstrating how the MultiSensor AI solution helps distribution leaders detect degradation earlier, protect productivity, reduce safety exposure, and optimize maintenance spending. The session emphasizes the operational and financial impact of shifting from reactive emergency repairs to predictive, planned interventions.</p>
<div class="lb-trans"><p>在本次演講中，銷售高級總監 Steve Cunningham 和產品賦能高級總監 James Newman 將分析三個真實客户案例，展示 MultiSensor AI 解決方案如何幫助分銷領導者更早地檢測退化，保護生產力，減少安全風險，並優化維護支出。該會議強調了從反應性緊急維修轉向預測性、計劃性干預的操作和財務影響。</p>
</div><p>Key themes include:</p>
<div class="lb-trans"><p>關鍵主題包括：</p>
</div><ul>
<li>Traditional monitoring methods miss critical early warning signs. Periodic inspections and threshold alarms only capture a moment in time, creating blind spots in high-speed operations.</li>
<li>Productivity depends on timely threat detection. Equipment degradation that goes undetected can halt an entire line, immediately impacting throughput and labor costs.</li>
<li>Safety improves when continuous visibility replaces manual floor inspections. Teams can detect dangerous electrical or mechanical conditions remotely, reducing human exposure.</li>
<li>Maintenance becomes a top-line lever, not a cost center. Predictable, planned interventions directly support throughput, labor productivity, compliance, and cost optimization.</li>
</ul>
<div class="lb-trans"><ul>
<li>傳統監測方法錯過關鍵的早期警告信號。定期檢查和閾值警報僅捕捉到一個時刻，造成高速操作中的盲點。</li>
<li>生產力依賴於及時的威脅檢測。未被發現的設備退化可能會停止整個生產線，立即影響吞吐量和人工成本。</li>
<li>當持續可見性取代人工地面檢查時，安全性得以改善。團隊可以遠程檢測危險的電氣或機械條件，減少人身暴露。</li>
<li>維護成為一個頂線槓桿，而不是成本中心。可預測的、計劃的干預直接支持吞吐量、勞動生產力、合規性和成本優化。</li>
</ul>
</div><p><strong>About MultiSensor AI</strong></p>
<div class="lb-trans"><p><strong>關於 MultiSensor AI</strong></p>
</div><p>MultiSensor AI is a multi-sensor condition intelligence solution for high-throughput and highly automated industrial operations. By unifying thermal, vibration, environmental, and visual sensor data onto a single platform, MSAI Connect, MultiSensor AI enables reliability teams to proactively protect uptime, reduce maintenance costs, enhance safety, and extend the useful life of their most critical assets. For more information, visit www.multisensorai.com.</p>
<div class="lb-trans"><p>MultiSensor AI 是一個多傳感器狀態智能解決方案，適用於高吞吐量和高度自動化的工業操作。通過將熱、振動、環境和視覺傳感器數據統一到一個平台 MSAI Connect 上，MultiSensor AI 使可靠性團隊能夠主動保護正常運行時間，降低維護成本，提高安全性，並延長其最關鍵資產的使用壽命。有關更多信息，請訪問 www.multisensorai.com。</p>
</div><p><strong>Forward-Looking Statements</strong></p>
<div class="lb-trans"><p><strong>前瞻性聲明</strong></p>
</div><p>This press release contains &#34;forward-looking statements&#34; within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934, and the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. In some cases, forward-looking statements can be identified by words such as &#34;anticipate,&#34; &#34;believe,&#34; &#34;could,&#34; &#34;estimate,&#34; &#34;expect,&#34; &#34;intend,&#34; &#34;plan,&#34; &#34;will,&#34; &#34;would&#34; or their negatives or variations of these words, or similar expressions. All statements contained in this press release that do not strictly relate to matters of historical fact should be considered forward-looking statements, including, without limitation, statements regarding management's expectations regarding its strategic priorities and objectives, platform performance, future plans and business prospects. These forward-looking statements are subject to risks, uncertainties and assumptions, some of which are beyond our control. In addition, these forward-looking statements reflect our current views with respect to future events and are not a guarantee of future performance. Actual outcomes may differ materially from the information contained in the forward-looking statements as a result of a number of factors, including those identified in the Risk Factors section of the Company's Annual Report on Form 10-K for the year ended December 31, 2025, as such factors may be updated from time to time in the Company's other filings with the SEC. Because forward-looking statements are inherently subject to risks and uncertainties, you should not rely on these forward-looking statements as predictions of future events. Any forward-looking statement made in this press release is based only on information currently available and speaks only as of the date on which it is made. Except as required by applicable law, the Company expressly disclaims any obligation to publicly update any forward-looking statements, whether written or oral, that may be made from time to time, whether as a result of new information, future developments or otherwise</p>
<div class="lb-trans"><p>本新聞稿包含根據 1933 年證券法第 27A 條、1934 年證券交易法第 21E 條以及 1995 年美國私人證券訴訟改革法的安全港條款的&#34;前瞻性聲明&#34;。在某些情況下，前瞻性聲明可以通過諸如&#34;預期&#34;、&#34;相信&#34;、&#34;可能&#34;、&#34;估計&#34;、&#34;期望&#34;、&#34;打算&#34;、&#34;計劃&#34;、&#34;將&#34;、&#34;會&#34;或這些詞的否定或變體，或類似表達來識別。所有在本新聞稿中包含的與歷史事實無關的聲明應視為前瞻性聲明，包括但不限於關於管理層對其戰略優先事項和目標、平台性能、未來計劃和商業前景的預期的聲明。這些前瞻性聲明受到風險、不確定性和假設的影響，其中一些超出了我們的控制範圍。此外，這些前瞻性聲明反映了我們對未來事件的當前看法，並不保證未來的表現。實際結果可能因多種因素而與前瞻性聲明中包含的信息有實質性差異，包括在公司截至 2025 年 12 月 31 日的年度報告的風險因素部分中識別的因素，這些因素可能會不時更新在公司向 SEC 提交的其他文件中。由於前瞻性聲明本質上受到風險和不確定性的影響，因此您不應將這些前瞻性聲明視為未來事件的預測。本文中所做的任何前瞻性聲明僅基於當前可用的信息，並僅在聲明之日有效。除非適用法律要求，否則公司明確拒絕任何公開更新任何前瞻性聲明的義務，無論是書面還是口頭，可能會不時做出，無論是由於新信息、未來發展還是其他原因。</p>
</div><p>Source: MultiSensor AI Holdings, Inc.</p>
<div class="lb-trans"><p>來源：MultiSensor AI Holdings, Inc.</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://images.newsfilecorp.com/files/11863/298298_72b6414a044649ee_logo.jpg" alt="" original-src="https://images.newsfilecorp.com/files/11863/298298_72b6414a044649ee_logo.jpg"/></p>
<p>To view the source version of this press release, please visit https://www.newsfilecorp.com/release/298298</p>
<div class="lb-trans"><p>要查看本新聞稿的源版本，請訪問 https://www.newsfilecorp.com/release/298298</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://api.newsfilecorp.com/newsinfo/298298/375" alt="" original-src="https://api.newsfilecorp.com/newsinfo/298298/375"/></p>

MultiSensor AI 將在 SupplyChainPoint 2026 大會上展示連續狀態智能 | MSAI 股票新聞