<p>人工智能已经改变了零售和消费品（CPG）运营，增强了客户分析和细分，使市场营销和广告能够实现更大的个性化，同时提高了供应链和物流的需求预测速度和准确性。</p>
<p>公司通过智能数字购物助手和动态增强及本地化产品信息的目录丰富，提升了客户参与度。人工智能代理提高了运营的速度和效率，而物理人工智能系统则帮助简化和自动化仓库及供应链运营。</p>
<p>NVIDIA 第三届年度零售和消费品行业人工智能现状调查报告收到了数百份反馈，显示出随着公司将人工智能项目从试点转向生产，行业内人工智能的成熟度正在提高。</p>
<p>今年报告的亮点包括：</p>
<ul>
<li>91% 的受访者表示他们的公司正在积极使用或评估人工智能。</li>
<li>90% 表示他们将在 2026 年通过增加人工智能预算来建立当前项目的成功基础。</li>
<li>89% 报告称人工智能有助于增加年度收入，而 95% 表示它有助于降低年度成本。</li>
<li>79% 表示开源模型和软件对他们的人工智能战略重要性中等到极高。</li>
<li>47% 表示他们的公司正在使用或评估代理人工智能。</li>
</ul>
<p>请继续阅读以下报告的一些关键发现。</p>
<h2><strong>开源带来机遇</strong></h2>
<p>开源迅速成为许多零售人工智能系统的基础，使团队能够灵活地将模型适应于他们的数据和用例，同时保持强大的治理。开放、可互操作的生态系统也使得将人工智能集成到现有工具和工作流程中变得更加容易，帮助零售商快速扩展创新。</p>
<p>“大多数零售商最初是通过专有人工智能供应商开始实验人工智能的，” Publicis Groupe 的首席商务战略官 Jason Goldberg 表示。“他们拥有模型，但并不拥有自己王国的钥匙。开源颠覆了这一局面，使零售商能够利用他们的专有数据，避免供应商锁定，并受益于开源社区的创新。”</p>
<h2><strong>人工智能解锁显著的商业影响</strong></h2>
<p>91% 的受访者表示他们的公司正在积极使用或评估人工智能，零售和消费品行业的竞争问题已经从是否投资人工智能转变为如何最有效地部署和扩展人工智能。</p>
<p>在整个行业中，人工智能的商业影响是显而易见且显著的。当被问及人工智能如何改善他们的业务时，54% 的人提到提高了员工生产力；52% 表示人工智能有助于创造运营效率；41% 报告称客户服务得到了改善。</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% 的受访者表示人工智能有助于增加收入。对于许多公司来说，这一增长是显著的，30% 的人表示收入增加了超过 10%。在帮助降低年度成本方面，情况也是如此，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过 10%。</p>
<p>“高管们应该关注的不是批准那些在高投资回报项目上花费的虚荣项目，” Omni Talk 的联合首席执行官 Chris Walton 表示。“那些成功的零售商将从解决特定损益问题的乏味用例开始，证明其价值，然后进行扩展。”</p>
<p>根据 90% 的调查受访者，明年的人工智能投资，包括基础设施、招聘人工智能专家和软件，将会增加。而一半的受访者表示，增加可能会很显著，预算同比增长 10% 或更多。</p>
<h2><strong>代理人工智能在零售中首次亮相</strong></h2>
<p>零售和消费品行业正在各业务线试点人工智能代理。</p>
<p>总体而言，47% 的调查受访者表示他们正在使用或评估代理人工智能——其中 20% 表示人工智能代理已经在他们的组织中活跃，另有 21% 报告称代理将在明年内到来。</p>
<p>“代理人工智能的真正颠覆性影响将首先影响零售供应链和运营，例如自主代理处理实时库存重新平衡、动态定价和大规模供应商谈判，因为这是投资回报可衡量的地方，” Walton 表示。</p>
<p>调查受访者确定了代理人工智能在零售和消费品中的三个明确目标：</p>
<ul>
<li>提高流程速度和效率，57% 的受访者表示。</li>
<li>增强客户体验和个性化，40% 的受访者表示。</li>
<li>通过实时数据改善决策，40% 的受访者表示。</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>总体而言，代理人工智能将分布在三个运营线：内部运营、员工和客户支持，以及客户参与。例如，在客户参与方面，代理不仅限于分析，而是实时根据洞察采取行动，调整信息、推荐产品并根据个别客户的背景指导购买决策。</p>
<h2><strong>人工智能为供应链提供韧性</strong></h2>
<p>零售和消费品在本十年面临着严峻的供应链挑战，这些挑战只会变得更加复杂。今年调查中有 64% 的受访者报告称，供应链面临的挑战逐年增加，例如地缘政治不稳定、劳动力限制、消费者对速度和透明度的期望不断变化，以及全球运营中的监管复杂性。</p>
<p>“人工智能使零售商能够在商店和客户层面优化库存，而不是在区域层面，” Goldberg 表示。“人工智能允许零售商在需求预测中纳入更多因素，并更准确地预测和避免缺货，通过更准确地匹配供需。”</p>
<p>根据 51% 的受访者，行业正在转向人工智能以简化运营和解决复杂性。使用人工智能提高供应链运营效率和产出是最大的压力来源。满足客户期望排在第二位，占 45%；而解决可追溯性和透明性问题则位列第三，占 38%。</p>
<p>物理人工智能在行业中逐渐获得认可，17% 的受访者正在使用或评估该技术。</p>
<p>沃尔顿表示：“真正的转型将来自于使现有物理基础设施更智能的人工智能。我最喜欢的例子是店内机器人。通过它们，您可以获得更好的定价、更好的库存管理和更好的展示质量。”</p>
<p>早期的先行者表明，当物理人工智能系统经过深思熟虑地整合时，它们提供的不仅仅是任务自动化，还能在应对劳动力压力和日益复杂的物流时增强灵活性和产出。</p>
<p>下载《零售和消费品行业人工智能现状：2026 年趋势》报告，获取深入的结果和见解。</p>
<p><em>探索</em> <em>NVIDIA 的人工智能解决方案和企业级人工智能平台</em> _。</p>

<p>人工智能正在通过增强客户分析、需求预测和运营效率来彻底改变零售和消费品行业（CPG）。根据 NVIDIA 的调查，91% 的公司正在使用或评估人工智能，90% 的公司计划在 2026 年增加人工智能预算。人工智能显著提高了生产力、运营效率和客户服务，89% 的公司报告收入增加。开源人工智能的兴起使零售商能够利用专有数据，避免供应商锁定。此外，47% 的受访者正在探索自主智能以提升效率和客户体验。人工智能还在日益增长的挑战中为供应链提供了韧性</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>人工智能已经改变了零售和消费品（CPG）运营，增强了客户分析和细分，使市场营销和广告能够实现更大的个性化，同时提高了供应链和物流的需求预测速度和准确性。</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>公司通过智能数字购物助手和动态增强及本地化产品信息的目录丰富，提升了客户参与度。人工智能代理提高了运营的速度和效率，而物理人工智能系统则帮助简化和自动化仓库及供应链运营。</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 第三届年度零售和消费品行业人工智能现状调查报告收到了数百份反馈，显示出随着公司将人工智能项目从试点转向生产，行业内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>今年报告的亮点包括：</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% 的受访者表示他们的公司正在积极使用或评估人工智能。</li>
<li>90% 表示他们将在 2026 年通过增加人工智能预算来建立当前项目的成功基础。</li>
<li>89% 报告称人工智能有助于增加年度收入，而 95% 表示它有助于降低年度成本。</li>
<li>79% 表示开源模型和软件对他们的人工智能战略重要性中等到极高。</li>
<li>47% 表示他们的公司正在使用或评估代理人工智能。</li>
</ul>
</div><p>Read more below on some of the report’s key findings.</p>
<div class="lb-trans"><p>请继续阅读以下报告的一些关键发现。</p>
</div><h2><strong>Open Source Opens Opportunities</strong></h2>
<div class="lb-trans"><h2><strong>开源带来机遇</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>开源迅速成为许多零售人工智能系统的基础，使团队能够灵活地将模型适应于他们的数据和用例，同时保持强大的治理。开放、可互操作的生态系统也使得将人工智能集成到现有工具和工作流程中变得更加容易，帮助零售商快速扩展创新。</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>“大多数零售商最初是通过专有人工智能供应商开始实验人工智能的，” Publicis Groupe 的首席商务战略官 Jason Goldberg 表示。“他们拥有模型，但并不拥有自己王国的钥匙。开源颠覆了这一局面，使零售商能够利用他们的专有数据，避免供应商锁定，并受益于开源社区的创新。”</p>
</div><h2><strong>AI Unlocks Significant Business Impact</strong></h2>
<div class="lb-trans"><h2><strong>人工智能解锁显著的商业影响</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% 的受访者表示他们的公司正在积极使用或评估人工智能，零售和消费品行业的竞争问题已经从是否投资人工智能转变为如何最有效地部署和扩展人工智能。</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>在整个行业中，人工智能的商业影响是显而易见且显著的。当被问及人工智能如何改善他们的业务时，54% 的人提到提高了员工生产力；52% 表示人工智能有助于创造运营效率；41% 报告称客户服务得到了改善。</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% 的受访者表示人工智能有助于增加收入。对于许多公司来说，这一增长是显著的，30% 的人表示收入增加了超过 10%。在帮助降低年度成本方面，情况也是如此，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过 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>“高管们应该关注的不是批准那些在高投资回报项目上花费的虚荣项目，” Omni Talk 的联合首席执行官 Chris Walton 表示。“那些成功的零售商将从解决特定损益问题的乏味用例开始，证明其价值，然后进行扩展。”</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>根据 90% 的调查受访者，明年的人工智能投资，包括基础设施、招聘人工智能专家和软件，将会增加。而一半的受访者表示，增加可能会很显著，预算同比增长 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>零售和消费品行业正在各业务线试点人工智能代理。</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>总体而言，47% 的调查受访者表示他们正在使用或评估代理人工智能——其中 20% 表示人工智能代理已经在他们的组织中活跃，另有 21% 报告称代理将在明年内到来。</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颠覆性影响将首先影响零售供应链和运营，例如自主代理处理实时库存重新平衡、动态定价和大规模供应商谈判，因为这是投资回报可衡量的地方，” 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>调查受访者确定了代理人工智能在零售和消费品中的三个明确目标：</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% 的受访者表示。</li>
<li>增强客户体验和个性化，40% 的受访者表示。</li>
<li>通过实时数据改善决策，40% 的受访者表示。</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>总体而言，代理人工智能将分布在三个运营线：内部运营、员工和客户支持，以及客户参与。例如，在客户参与方面，代理不仅限于分析，而是实时根据洞察采取行动，调整信息、推荐产品并根据个别客户的背景指导购买决策。</p>
</div><h2><strong>AI Providing Resilience to the Supply Chain</strong></h2>
<div class="lb-trans"><h2><strong>人工智能为供应链提供韧性</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>零售和消费品在本十年面临着严峻的供应链挑战，这些挑战只会变得更加复杂。今年调查中有 64% 的受访者报告称，供应链面临的挑战逐年增加，例如地缘政治不稳定、劳动力限制、消费者对速度和透明度的期望不断变化，以及全球运营中的监管复杂性。</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够在商店和客户层面优化库存，而不是在区域层面，” Goldberg 表示。“人工智能允许零售商在需求预测中纳入更多因素，并更准确地预测和避免缺货，通过更准确地匹配供需。”</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>根据 51% 的受访者，行业正在转向人工智能以简化运营和解决复杂性。使用人工智能提高供应链运营效率和产出是最大的压力来源。满足客户期望排在第二位，占 45%；而解决可追溯性和透明性问题则位列第三，占 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>物理人工智能在行业中逐渐获得认可，17% 的受访者正在使用或评估该技术。</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>沃尔顿表示：“真正的转型将来自于使现有物理基础设施更智能的人工智能。我最喜欢的例子是店内机器人。通过它们，您可以获得更好的定价、更好的库存管理和更好的展示质量。”</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，当物理人工智能系统经过深思熟虑地整合时，它们提供的不仅仅是任务自动化，还能在应对劳动力压力和日益复杂的物流时增强灵活性和产出。</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>下载《零售和消费品行业人工智能现状：2026 年趋势》报告，获取深入的结果和见解。</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 的人工智能解决方案和企业级人工智能平台</em> _。</p>
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从仓库到钱包：最新的零售和消费品行业 AI 调查揭示了 AI 如何重塑供应链和客户体验