Implementing AI in Procurement
AI and GenAI are no doubt here to stay. As procurement leaders uncover the solutions landscape and various use cases for AI, there is a shared fatigue from all the buzzwords, fluff, and blog posts that are ironically written by GenAI.
Join Fairmarkit Data Science and Solutions leadership as we help you cut through the noise with AI 101, a guide to evaluating solutions vendors, and in-depth demos of GenAI and AI in action to help you:
Capture more spend with a GenAI powered intake solution that your stakeholders will love.
Build RFPs and RFQs in minutes instead of days, with helpful AI-generated questions and templates.
Give every sourcing event, however small or large, the attention to detail it deserves so you engage suppliers that contribute to cost-savings, ESG/Diversity, and cycle time goals.
Discover and engage new suppliers with AI-powered suggestions from marketplaces like Amazon Business.
Automate menial tasks in sending, scoring, and awarding workflows so your teams can do more with less.
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Tiago leads the solutions engineering team at Fairmarkit, and brings over a decade of experience in helping businesses navigate digital transformation. With bilingual proficiency and deep expertise with Procure to Pay process and platforms such as SAP Ariba and Coupa, Tiago works closely with procurement leaders and their teams around the world to help them identify ROI-generating use cases for automation and AI.
Karim is currently Head of Data Science and AI at Fairmarkit. His experience in ML and AI spans 10+ years across various industries. He has worked with product and engineering leadership teams in health-tech, ride-sharing and e-commerce. In the past, he has led ML teams to deliver data products and algorithmic capabilities that drive business value and innovation, and holds several patents.