Case Study: Blue Pearl achieves faster, more accurate hiring with IBM watsonx and generative AI

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Preview of the Blue Pearl Case Study

Blue Pearl revolutionizes hiring processes with generative AI

Blue Pearl, a South Africa-based cloud solutions and ICT resourcing company, was struggling with slow, inconsistent HR processes, especially around writing job descriptions and matching candidates to roles. With IBM and its IBM Watson-driven matching capabilities, Blue Pearl sought a better way to reduce hiring delays and improve the quality of candidate recommendations.

IBM helped Blue Pearl build an AI-powered platform using IBM watsonx.ai and IBM Granite to automate job-description generation and semantic candidate matching. The solution cut time to fill vacancies by over 85% to under 3 days, reduced screening time by 97% to about 3 minutes per candidate, tripled the shortlist rate, and contributed to a 35% improvement in workplace cohesiveness; Blue Pearl also sold 197,000 hours of ICT contractor work through the platform.


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