<p>人工智能已經改變了零售和消費品（CPG）運營，增強了客户分析和細分，使市場營銷和廣告能夠實現更大的個性化，同時提高了供應鏈和物流的需求預測速度和準確性。</p>
<p>公司通過智能數字購物助手和動態增強及本地化產品信息的目錄豐富，提升了客户參與度。人工智能代理提高了運營的速度和效率，而物理人工智能系統則幫助簡化和自動化倉庫及供應鏈運營。</p>
<p>NVIDIA 第三屆年度零售和消費品行業人工智能現狀調查報告收到了數百份反饋，顯示出隨着公司將人工智能項目從試點轉向生產，行業內人工智能的成熟度正在提高。</p>
<p>今年報告的亮點包括：</p>
<ul>
<li>91% 的受訪者表示他們的公司正在積極使用或評估人工智能。</li>
<li>90% 表示他們將在 2026 年通過增加人工智能預算來建立當前項目的成功基礎。</li>
<li>89% 報告稱人工智能有助於增加年度收入，而 95% 表示它有助於降低年度成本。</li>
<li>79% 表示開源模型和軟件對他們的人工智能戰略重要性中等到極高。</li>
<li>47% 表示他們的公司正在使用或評估代理人工智能。</li>
</ul>
<p>請繼續閲讀以下報告的一些關鍵發現。</p>
<h2><strong>開源帶來機遇</strong></h2>
<p>開源迅速成為許多零售人工智能系統的基礎，使團隊能夠靈活地將模型適應於他們的數據和用例，同時保持強大的治理。開放、可互操作的生態系統也使得將人工智能集成到現有工具和工作流程中變得更加容易，幫助零售商快速擴展創新。</p>
<p>“大多數零售商最初是通過專有人工智能供應商開始實驗人工智能的，” Publicis Groupe 的首席商務戰略官 Jason Goldberg 表示。“他們擁有模型，但並不擁有自己王國的鑰匙。開源顛覆了這一局面，使零售商能夠利用他們的專有數據，避免供應商鎖定，並受益於開源社區的創新。”</p>
<h2><strong>人工智能解鎖顯著的商業影響</strong></h2>
<p>91% 的受訪者表示他們的公司正在積極使用或評估人工智能，零售和消費品行業的競爭問題已經從是否投資人工智能轉變為如何最有效地部署和擴展人工智能。</p>
<p>在整個行業中，人工智能的商業影響是顯而易見且顯著的。當被問及人工智能如何改善他們的業務時，54% 的人提到提高了員工生產力；52% 表示人工智能有助於創造運營效率；41% 報告稱客户服務得到了改善。</p>
<p><img src="https://imageproxy.pbkrs.com/https://blogs.nvidia.com/wp-content/uploads/2026/01/retail-objectives-vs-outcomes-chart3-white-960x541.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="960" height="541" original-src="https://imageproxy.pbkrs.com/https://blogs.nvidia.com/wp-content/uploads/2026/01/retail-objectives-vs-outcomes-chart3-white-960x541.png"/></p>
<p>如上所述，89% 的受訪者表示人工智能有助於增加收入。對於許多公司來説，這一增長是顯著的，30% 的人表示收入增加了超過 10%。在幫助降低年度成本方面，情況也是如此，95% 的人同意人工智能降低了成本，37% 的人表示成本降低了超過 10%。</p>
<p>“高管們應該關注的不是批准那些在高投資回報項目上花費的虛榮項目，” Omni Talk 的聯合首席執行官 Chris Walton 表示。“那些成功的零售商將從解決特定損益問題的乏味用例開始，證明其價值，然後進行擴展。”</p>
<p>根據 90% 的調查受訪者，明年的人工智能投資，包括基礎設施、招聘人工智能專家和軟件，將會增加。而一半的受訪者表示，增加可能會很顯著，預算同比增長 10% 或更多。</p>
<h2><strong>代理人工智能在零售中首次亮相</strong></h2>
<p>零售和消費品行業正在各業務線試點人工智能代理。</p>
<p>總體而言，47% 的調查受訪者表示他們正在使用或評估代理人工智能——其中 20% 表示人工智能代理已經在他們的組織中活躍，另有 21% 報告稱代理將在明年內到來。</p>
<p>“代理人工智能的真正顛覆性影響將首先影響零售供應鏈和運營，例如自主代理處理實時庫存重新平衡、動態定價和大規模供應商談判，因為這是投資回報可衡量的地方，” Walton 表示。</p>
<p>調查受訪者確定了代理人工智能在零售和消費品中的三個明確目標：</p>
<ul>
<li>提高流程速度和效率，57% 的受訪者表示。</li>
<li>增強客户體驗和個性化，40% 的受訪者表示。</li>
<li>通過實時數據改善決策，40% 的受訪者表示。</li>
</ul>
<p><img src="https://imageproxy.pbkrs.com/https://blogs.nvidia.com/wp-content/uploads/2026/01/retail-question-26-top-business-objectives-with-ai-r2-white-scaled.png?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" width="2048" height="756" original-src="https://imageproxy.pbkrs.com/https://blogs.nvidia.com/wp-content/uploads/2026/01/retail-question-26-top-business-objectives-with-ai-r2-white-scaled.png"/></p>
<p>總體而言，代理人工智能將分佈在三個運營線：內部運營、員工和客户支持，以及客户參與。例如，在客户參與方面，代理不僅限於分析，而是實時根據洞察採取行動，調整信息、推薦產品並根據個別客户的背景指導購買決策。</p>
<h2><strong>人工智能為供應鏈提供韌性</strong></h2>
<p>零售和消費品在本十年面臨着嚴峻的供應鏈挑戰，這些挑戰只會變得更加複雜。今年調查中有 64% 的受訪者報告稱，供應鏈面臨的挑戰逐年增加，例如地緣政治不穩定、勞動力限制、消費者對速度和透明度的期望不斷變化，以及全球運營中的監管複雜性。</p>
<p>“人工智能使零售商能夠在商店和客户層面優化庫存，而不是在區域層面，” Goldberg 表示。“人工智能允許零售商在需求預測中納入更多因素，並更準確地預測和避免缺貨，通過更準確地匹配供需。”</p>
<p>根據 51% 的受訪者，行業正在轉向人工智能以簡化運營和解決複雜性。使用人工智能提高供應鏈運營效率和產出是最大的壓力來源。滿足客户期望排在第二位，佔 45%；而解決可追溯性和透明性問題則位列第三，佔 38%。</p>
<p>物理人工智能在行業中逐漸獲得認可，17% 的受訪者正在使用或評估該技術。</p>
<p>沃爾頓表示：“真正的轉型將來自於使現有物理基礎設施更智能的人工智能。我最喜歡的例子是店內機器人。通過它們，您可以獲得更好的定價、更好的庫存管理和更好的展示質量。”</p>
<p>早期的先行者表明，當物理人工智能系統經過深思熟慮地整合時，它們提供的不僅僅是任務自動化，還能在應對勞動力壓力和日益複雜的物流時增強靈活性和產出。</p>
<p>下載《零售和消費品行業人工智能現狀：2026 年趨勢》報告，獲取深入的結果和見解。</p>
<p><em>探索</em> <em>NVIDIA 的人工智能解決方案和企業級人工智能平台</em> _。</p>

<p>人工智能正在通過增強客户分析、需求預測和運營效率來徹底改變零售和消費品行業（CPG）。根據 NVIDIA 的調查，91% 的公司正在使用或評估人工智能，90% 的公司計劃在 2026 年增加人工智能預算。人工智能顯著提高了生產力、運營效率和客户服務，89% 的公司報告收入增加。開源人工智能的興起使零售商能夠利用專有數據，避免供應商鎖定。此外，47% 的受訪者正在探索自主智能以提升效率和客户體驗。人工智能還在日益增長的挑戰中為供應鏈提供了韌性</p>

<p>AI has transformed retail and consumer packaged goods (CPG) operations, enhancing customer analysis and segmentation to enable greater personalization for marketing and advertising, and boosting the speed and accuracy of demand forecasting for supply chains and logistics.</p>
<div class="lb-trans"><p>人工智能已經改變了零售和消費品（CPG）運營，增強了客户分析和細分，使市場營銷和廣告能夠實現更大的個性化，同時提高了供應鏈和物流的需求預測速度和準確性。</p>
</div><p>Companies are also raising the bar for customer engagement through intelligent digital shopping assistants and catalog enrichment by dynamically enhancing and localizing product information. AI agents are increasing the speed and efficiency of operations, while physical AI systems are helping streamline and automate warehouse and supply chain operations.</p>
<div class="lb-trans"><p>公司通過智能數字購物助手和動態增強及本地化產品信息的目錄豐富，提升了客户參與度。人工智能代理提高了運營的速度和效率，而物理人工智能系統則幫助簡化和自動化倉庫及供應鏈運營。</p>
</div><p>NVIDIA’s third annual State of AI in Retail and Consumer Packaged Goods survey report, which garnered hundreds of responses, showed maturation of AI within the industry as companies move AI projects from pilot to production in all areas.</p>
<div class="lb-trans"><p>NVIDIA 第三屆年度零售和消費品行業人工智能現狀調查報告收到了數百份反饋，顯示出隨着公司將人工智能項目從試點轉向生產，行業內人工智能的成熟度正在提高。</p>
</div><p>Highlights of this year’s report include:</p>
<div class="lb-trans"><p>今年報告的亮點包括：</p>
</div><ul>
<li>91% of respondents said their companies are either actively using or assessing AI.</li>
<li>90% said they’d build on the success of current projects by increasing their AI budgets in 2026.</li>
<li>89% reported AI is helping to increase annual revenue, while 95% said it is helping decrease annual costs.</li>
<li>79% said open-source models and software were moderately to extremely important to their AI strategy.</li>
<li>47% said their companies are either using or assessing agentic AI in their operations.</li>
</ul>
<div class="lb-trans"><ul>
<li>91% 的受訪者表示他們的公司正在積極使用或評估人工智能。</li>
<li>90% 表示他們將在 2026 年通過增加人工智能預算來建立當前項目的成功基礎。</li>
<li>89% 報告稱人工智能有助於增加年度收入，而 95% 表示它有助於降低年度成本。</li>
<li>79% 表示開源模型和軟件對他們的人工智能戰略重要性中等到極高。</li>
<li>47% 表示他們的公司正在使用或評估代理人工智能。</li>
</ul>
</div><p>Read more below on some of the report’s key findings.</p>
<div class="lb-trans"><p>請繼續閲讀以下報告的一些關鍵發現。</p>
</div><h2><strong>Open Source Opens Opportunities</strong></h2>
<div class="lb-trans"><h2><strong>開源帶來機遇</strong></h2>
</div><p>Open source has quickly become the foundation of many retail AI systems, giving teams the flexibility to adapt models to their data and use cases while maintaining strong governance. Open, interoperable ecosystems also make it easier to plug AI into existing tools and workflows, helping retailers rapidly scale innovation.</p>
<div class="lb-trans"><p>開源迅速成為許多零售人工智能系統的基礎，使團隊能夠靈活地將模型適應於他們的數據和用例，同時保持強大的治理。開放、可互操作的生態系統也使得將人工智能集成到現有工具和工作流程中變得更加容易，幫助零售商快速擴展創新。</p>
</div><p>“Most retailers first started experimenting with AI using proprietary AI vendors,” said Jason Goldberg, chief commerce strategy officer of Publicis Groupe. “They had the models, but they didn’t own the keys to their own kingdom. Open source flips that script, allowing retailers to leverage their proprietary data, avoid vendor lock-in and benefit from open-source community innovation.”</p>
<div class="lb-trans"><p>“大多數零售商最初是通過專有人工智能供應商開始實驗人工智能的，” Publicis Groupe 的首席商務戰略官 Jason Goldberg 表示。“他們擁有模型，但並不擁有自己王國的鑰匙。開源顛覆了這一局面，使零售商能夠利用他們的專有數據，避免供應商鎖定，並受益於開源社區的創新。”</p>
</div><h2><strong>AI Unlocks Significant Business Impact</strong></h2>
<div class="lb-trans"><h2><strong>人工智能解鎖顯著的商業影響</strong></h2>
</div><p>With 91% of respondents saying their companies are either actively using or assessing AI, the competitive question in retail and CPG has shifted from whether or not to invest in AI, to how to most effectively deploy and scale AI.</p>
<div class="lb-trans"><p>91% 的受訪者表示他們的公司正在積極使用或評估人工智能，零售和消費品行業的競爭問題已經從是否投資人工智能轉變為如何最有效地部署和擴展人工智能。</p>
</div><p>Across the industry, the business impact of AI has been tangible and significant. When asked how AI has improved their business, 54% cited improved employee productivity; 52% said AI has helped to create operational efficiencies; and 41% reported improved customer service.</p>
<div class="lb-trans"><p>在整個行業中，人工智能的商業影響是顯而易見且顯著的。當被問及人工智能如何改善他們的業務時，54% 的人提到提高了員工生產力；52% 表示人工智能有助於創造運營效率；41% 報告稱客户服務得到了改善。</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://blogs.nvidia.com/wp-content/uploads/2026/01/retail-objectives-vs-outcomes-chart3-white-960x541.png" alt="" original-src="https://blogs.nvidia.com/wp-content/uploads/2026/01/retail-objectives-vs-outcomes-chart3-white-960x541.png"/></p>
<p>As stated above, 89% of respondents said AI has helped to increase revenue. For many companies, that increase has been significant, with 30% stating revenue has increased by more than 10%. The story is the same for AI’s role in helping to decrease annual costs, with 95% agreeing AI has reduced costs and 37% saying costs have been reduced by more than 10%.</p>
<div class="lb-trans"><p>如上所述，89% 的受訪者表示人工智能有助於增加收入。對於許多公司來説，這一增長是顯著的，30% 的人表示收入增加了超過 10%。在幫助降低年度成本方面，情況也是如此，95% 的人同意人工智能降低了成本，37% 的人表示成本降低了超過 10%。</p>
</div><p>“What executives should be focused on is not green-lighting vanity projects at the expense of high-ROI wins,” said Chris Walton, co-CEO of Omni Talk. “The retailers who will succeed will start with boring use cases that solve specific P&amp;L problems, prove the value, then scale.”</p>
<div class="lb-trans"><p>“高管們應該關注的不是批准那些在高投資回報項目上花費的虛榮項目，” Omni Talk 的聯合首席執行官 Chris Walton 表示。“那些成功的零售商將從解決特定損益問題的乏味用例開始，證明其價值，然後進行擴展。”</p>
</div><p>AI investment, including infrastructure, hiring AI experts and software, will increase next year, according to nine out of 10 survey respondents. And half of respondents said the increase could be significant, with budgets increasing 10% or more year over year.</p>
<div class="lb-trans"><p>根據 90% 的調查受訪者，明年的人工智能投資，包括基礎設施、招聘人工智能專家和軟件，將會增加。而一半的受訪者表示，增加可能會很顯著，預算同比增長 10% 或更多。</p>
</div><h2><strong>Agentic AI Makes Big Debut in Retail</strong></h2>
<div class="lb-trans"><h2><strong>代理人工智能在零售中首次亮相</strong></h2>
</div><p>The retail and CPG industry is piloting AI agents across lines of business.</p>
<div class="lb-trans"><p>零售和消費品行業正在各業務線試點人工智能代理。</p>
</div><p>Overall, 47% of survey respondents said they’re using or assessing agentic AI — with 20% saying AI agents are already active in their organizations and another 21% reporting agents are coming within the next year.</p>
<div class="lb-trans"><p>總體而言，47% 的調查受訪者表示他們正在使用或評估代理人工智能——其中 20% 表示人工智能代理已經在他們的組織中活躍，另有 21% 報告稱代理將在明年內到來。</p>
</div><p>“The truly disruptive impact of agentic AI will hit retail supply chains and operations first, such as autonomous agents handling real-time inventory rebalancing, dynamic pricing and vendor negotiations at scale, because that’s where the ROI is measurable,” said Walton.</p>
<div class="lb-trans"><p>“代理人工智能的真正顛覆性影響將首先影響零售供應鏈和運營，例如自主代理處理實時庫存重新平衡、動態定價和大規模供應商談判，因為這是投資回報可衡量的地方，” Walton 表示。</p>
</div><p>Survey respondents identified three clear goals for agentic AI in retail and CPG:</p>
<div class="lb-trans"><p>調查受訪者確定了代理人工智能在零售和消費品中的三個明確目標：</p>
</div><ul>
<li>Increased process speed and efficiency, per 57% of respondents.</li>
<li>Enhanced customer experience and personalization, per 40%.</li>
<li>Improved decision-making with real-time data, per 40%.</li>
</ul>
<div class="lb-trans"><ul>
<li>提高流程速度和效率，57% 的受訪者表示。</li>
<li>增強客户體驗和個性化，40% 的受訪者表示。</li>
<li>通過實時數據改善決策，40% 的受訪者表示。</li>
</ul>
</div><p><img src="https://imageproxy.pbkrs.com/https://blogs.nvidia.com/wp-content/uploads/2026/01/retail-question-26-top-business-objectives-with-ai-r2-white-scaled.png" alt="" original-src="https://blogs.nvidia.com/wp-content/uploads/2026/01/retail-question-26-top-business-objectives-with-ai-r2-white-scaled.png"/></p>
<p>Broadly speaking, agentic AI will be spread across three operational lines: internal operations, employee and customer support, and customer engagement. For instance, in customer engagement, agents go beyond analytics and act on insights in real time, adjust messages, recommend products and guide purchase decisions based on individual customer contexts.</p>
<div class="lb-trans"><p>總體而言，代理人工智能將分佈在三個運營線：內部運營、員工和客户支持，以及客户參與。例如，在客户參與方面，代理不僅限於分析，而是實時根據洞察採取行動，調整信息、推薦產品並根據個別客户的背景指導購買決策。</p>
</div><h2><strong>AI Providing Resilience to the Supply Chain</strong></h2>
<div class="lb-trans"><h2><strong>人工智能為供應鏈提供韌性</strong></h2>
</div><p>Retail and CPG have faced intense supply chain challenges this decade, and those challenges are only growing more complex. Sixty-four percent of respondents in this year’s survey reported increased challenges in the supply chain year over year, such as geopolitical instability, labor constraints, evolving consumer expectations for speed and transparency, and regulatory complexity across global operations.</p>
<div class="lb-trans"><p>零售和消費品在本十年面臨着嚴峻的供應鏈挑戰，這些挑戰只會變得更加複雜。今年調查中有 64% 的受訪者報告稱，供應鏈面臨的挑戰逐年增加，例如地緣政治不穩定、勞動力限制、消費者對速度和透明度的期望不斷變化，以及全球運營中的監管複雜性。</p>
</div><p>“AI lets retailers optimize inventory at the store and customer level rather than at a regional level,” said Goldberg. “AI allows retailers to incorporate many more factors in their demand forecasts, and much more accurately predict and avoid out of stocks, by much more accurately matching supply to demand.”</p>
<div class="lb-trans"><p>“人工智能使零售商能夠在商店和客户層面優化庫存，而不是在區域層面，” Goldberg 表示。“人工智能允許零售商在需求預測中納入更多因素，並更準確地預測和避免缺貨，通過更準確地匹配供需。”</p>
</div><p>The industry is turning to AI to streamline operations and solve complexity. The top pressure valve is using AI for supply chain operational efficiency and throughput, according to 51% of respondents. Meeting customer expectations was next on the list at 45%, and solving for traceability and transparency was third, per 38%.</p>
<div class="lb-trans"><p>根據 51% 的受訪者，行業正在轉向人工智能以簡化運營和解決複雜性。使用人工智能提高供應鏈運營效率和產出是最大的壓力來源。滿足客户期望排在第二位，佔 45%；而解決可追溯性和透明性問題則位列第三，佔 38%。</p>
</div><p>Physical AI is gaining ground in the industry, with 17% of respondents using or evaluating the technology.</p>
<div class="lb-trans"><p>物理人工智能在行業中逐漸獲得認可，17% 的受訪者正在使用或評估該技術。</p>
</div><p>“The real transformation will come from AI that makes existing physical infrastructure smarter,” said Walton. “My favorite example is in-store robotics. Through them, you get better pricing, better inventory, management and better presentation quality.”</p>
<div class="lb-trans"><p>沃爾頓表示：“真正的轉型將來自於使現有物理基礎設施更智能的人工智能。我最喜歡的例子是店內機器人。通過它們，您可以獲得更好的定價、更好的庫存管理和更好的展示質量。”</p>
</div><p>The early movers demonstrate that, when integrated thoughtfully, physical AI systems deliver more than task automation, enhancing flexibility and throughput in response to workforce pressures and rising logistical complexity.</p>
<div class="lb-trans"><p>早期的先行者表明，當物理人工智能系統經過深思熟慮地整合時，它們提供的不僅僅是任務自動化，還能在應對勞動力壓力和日益複雜的物流時增強靈活性和產出。</p>
</div><p>Download the “State of AI in Retail and CPG: 2026 Trends” report for in-depth results and insights.</p>
<div class="lb-trans"><p>下載《零售和消費品行業人工智能現狀：2026 年趨勢》報告，獲取深入的結果和見解。</p>
</div><p><em>Explore</em> <em>NVIDIA’s AI solutions and enterprise-level AI platforms for retail</em> <em>.</em></p>
<div class="lb-trans"><p><em>探索</em> <em>NVIDIA 的人工智能解決方案和企業級人工智能平台</em> _。</p>
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從倉庫到錢包：最新的零售和消費品行業 AI 調查揭示了 AI 如何重塑供應鏈和客户體驗