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cover of episode The ROI Rules of AI: Procuring Success (Sponsored Content)

The ROI Rules of AI: Procuring Success (Sponsored Content)

2024/12/16
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Masters in Business

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Dave McDonald
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Gary Kotovitz
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Gary Kotovitz: 我是 Dun & Bradstreet 的首席数据和分析官。我们发现,传统的供应商调研过程非常耗时,效率低下。每个任务都很耗时,例如评估供应商的财务健康状况、法律风险、ESG 评级以及供应链中断的可能性等等。为了解决这个问题,我们与 IBM 合作,利用人工智能技术开发了一个名为 "Ask Procurement" 的自然语言界面。这个产品允许采购人员使用简单的自然语言提问,快速获得所需信息,从而显著提高效率并降低风险。Ask Procurement 的投资回报主要体现在两个方面:一是提高决策的准确性,确保采购人员拥有所有必要信息来做出正确的决策;二是提高效率和生产力,减少审核供应商所需的时间。在与客户合作开发产品的过程中,我们深入了解了客户的工作流程,并学习了生成式 AI 的优缺点。起初,许多客户对生成式 AI 的价值并不了解,但随着他们体验到 Ask Procurement 的功能,他们开始意识到其价值,并提出更多需求。目前,Ask Procurement 已经帮助客户将审核潜在供应商的时间缩短了 10% 到 20%。未来,我们将继续改进 Ask Procurement,例如允许客户整合他们自己的供应商数据,进一步提高效率和价值。 Edward Adams: 作为主持人,我见证了 Dun & Bradstreet 和 IBM 如何合作利用人工智能彻底改变采购流程。通过 Ask Procurement,采购人员可以使用自然语言查询 Dun & Bradstreet 的数据库,快速找到符合其特定标准的供应商。这不仅节省了大量时间,还降低了采购风险,提高了效率。Ask Procurement 的成功案例证明了人工智能在提高业务效率和降低成本方面的巨大潜力。 Dave McDonald: 我是 IBM 美国行业市场总经理。我认为,成功的 AI 项目需要关注三个要素:人、流程和技术。AI 项目不应该仅仅由 IT 部门主导,而应该由业务部门牵头,这样才能真正产生业务价值和投资回报。此外,要获得竞争优势,需要将私有数据与大型语言模型相结合。Ask Procurement 的成功案例很好地说明了这一点。Dun & Bradstreet 利用其独特的供应商数据,结合 IBM Watson X 平台的自然语言处理能力,创建了一个具有竞争力的解决方案,为客户带来了显著的价值。

Deep Dive

Key Insights

What challenges do procurement professionals face when evaluating potential suppliers?

Procurement professionals face challenges such as assessing a supplier's financial health, legal risks, environmental, social, and governance (ESG) metrics, and potential disruptions like natural disasters or geopolitical conflicts. These evaluations are time-consuming, often taking days to thoroughly investigate a single supplier.

How does Dun & Bradstreet's AI-powered tool, Ask Procurement, improve efficiency for procurement teams?

Ask Procurement, powered by IBM's Watson X AI and Data platform, allows procurement professionals to query Dun & Bradstreet's database in plain English. It enables them to quickly gather comprehensive information about suppliers, such as ESG scores, credit profiles, and supply chain risks, reducing the time spent on vetting vendors by 10-20%.

What role does IBM play in the development of Dun & Bradstreet's Ask Procurement tool?

IBM serves as both a technology provider and a customer of Dun & Bradstreet's procurement product. IBM's Watson X platform and expertise in AI development helped Dun & Bradstreet gather requirements, design workflows, and build the Ask Procurement tool, which integrates natural language processing and private data for competitive advantage.

What lessons can other companies learn from Dun & Bradstreet's AI implementation?

Companies should focus on people, process, and technology when implementing AI. AI projects should not be IT-only initiatives; they require a line of business sponsor who benefits directly from the outcomes. Combining private data with large language models is key to gaining a competitive edge and driving business value.

What are the key benefits of using AI in procurement, according to Dun & Bradstreet?

AI in procurement improves decision-making accuracy by providing readily available information and enhances efficiency and productivity. Early users of Ask Procurement have reduced vendor vetting time by 10-20%, allowing procurement teams to focus on more strategic tasks.

What is the future focus for Dun & Bradstreet's Ask Procurement tool?

Dun & Bradstreet is developing Phase 2 of Ask Procurement, which will allow customers to integrate their own supplier data with Dun & Bradstreet's database. This will enable broader access to the tool across departments, further reducing time spent on procurement-related tasks.

Chapters
This chapter introduces a new AI-powered product designed to streamline the supplier research process for procurement professionals. It highlights the time-consuming nature of traditional supplier vetting and introduces Dun & Bradstreet's new AI solution.
  • AI-powered solution for faster supplier research
  • Addresses the inefficiency of traditional supplier vetting
  • Developed by Dun & Bradstreet in collaboration with IBM

Shownotes Transcript

Finding and onboarding new suppliers is a time-consuming process for procurement staff. Dun & Bradstreet has partnered with IBM to apply artificial intelligence to the process, enabling staff to query its databases in plain English to find suppliers who fit the criteria they need. The result is a simpler, faster process that is saving companies time and money. This episode is sponsored by IBM. 

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