IBM
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A IBM Case Study
Dun & Bradstreet, a global business decisioning data and analytics company, wanted to improve supplier risk evaluation and make procurement processes faster and less manual. Working with IBM and using IBM watsonx Orchestrate, it set out to help customers assess supplier reputation, ESG factors, onboarding speed, and other third-party risk signals more effectively.
IBM helped Dun & Bradstreet build D&B Ask Procurement, an AI-powered assistant that combines watsonx Orchestrate, IBM Cloud, and large language models with Dun & Bradstreet’s data cloud. The solution delivers near-instant 360° supplier insights, automates repetitive tasks, reduces manual data entry and errors, and is estimated to cut procurement task time by 10–20%, improving efficiency, risk management, and supplier onboarding.
Gary Kotovets
Chief Data and Analytics Officer