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.
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%.
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.
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.
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.
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.
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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