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cover of episode EP 467: Transforming Supply Chains with AI - What’s happening now and what’s next

EP 467: Transforming Supply Chains with AI - What’s happening now and what’s next

2025/2/21
logo of podcast Everyday AI Podcast – An AI and ChatGPT Podcast

Everyday AI Podcast – An AI and ChatGPT Podcast

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Julian Harris
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我创建了一家名为RoboBuy的全球供应链分析平台。我们从大型企业的各种ERP系统中提取数据,利用专有的AI算法清理和分类数据,然后将其转化为有用的见解和仪表板,帮助首席采购官、财务主管和风险管理人员做出更明智的决策。我们处理的数据通常很脏,需要大量的清理工作。 生成式AI的兴起给我们的行业带来了巨大的变化。起初,客户对ChatGPT等工具能否替代我们的专有AI感到困惑。但实际上,这些工具并不能直接替代我们所做的事情。生成式AI的快速发展令人惊叹,它正在改变各个组织和行业。在未来几年,我们将看到令人震惊的自动化程度。 生成式AI为供应链带来了许多机遇。例如,它可以帮助企业更好地了解其供应链的各个层面,进行预测分析和情景规划。大型语言模型可以处理非结构化数据,这对于深入了解供应链至关重要。 我们还看到,像Meta和苹果这样的公司正在进入AI人形机器人领域。这将进一步推动物流和供应链的自动化。然而,现有的ERP系统(如SAP和Oracle)的代码库非常老旧,这使得它们难以快速适应AI技术。我认为,未来会有更多基于生成式AI的纯AI参与者出现,他们可能会挑战这些老牌企业的地位。 在供应链中,一个常见的问题是数据质量差。许多企业仍然依赖手动数据输入,这会导致错误和低效率。生成式AI可以帮助自动化这些流程,提高数据质量。此外,生成式AI还可以帮助企业进行预测分析和情景规划,从而更好地应对风险。 生成式AI技术正变得越来越容易获取和使用,即使是非技术人员也能轻松上手。这将使更多企业能够利用AI技术来改善其供应链管理。 展望未来,我认为企业需要关注数据质量、数据安全和数据主权等问题。他们需要确保其数据处于可用于AI分析的状态,并采取措施保护其数据的安全性和隐私性。

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You might not think about the supply chain every day. But every product you use or service you rely on is 100% impacted by the global supply chain. And AI is completely reshaping how it works. Join us to find out how.Newsletter: Sign up for our free daily newsletter)**More on this Episode: **Episode Page)**Join the discussion: **Ask Jordan and Julian questions on AI and supply chains)Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup)Website: YourEverydayAI.com)Email The Show: [email protected])**Connect with Jordan on **LinkedIn)**Topics Covered in This Episode:1. Role of Generative AI in Supply Chains2. Challenges in the Supply Chain Industry3. Automation and Robotics in Logistics4. Accessibility of AI Solutions5. Data Quality and ManagementTimestamps:00:00 Global Supply Chain Analytics Platform03:56 AI-Driven Procurement Insights09:57 Supply Chain Transparency and Challenges12:37 Meta & Apple Enter Robotics Race17:32 Data Classification Challenges in Industry21:22 Accessible AI: From Chatbots to Agents23:39 Navigating AI Disruption in Product Suites27:02 Data Management and Security EssentialsKeywords:**Generative AI, global supply chain, artificial intelligence, machine learning, large language models, data extraction, ERP systems, data classification, supply chain analytics, predictive analytics, scenario planning, robotics, automation, ChatGPT, business impact, ESG compliance, supply chain insights, procurement officer, spend management, minority supplier spend, data quality, predictive insights, scenario analysis, enterprise resource planning, SAP, Oracle, Coders, generative AI applications, supply chain transformation, generative AI impact, technology disruption.

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