Fairmarkit, founded in 2017, develops an autonomous sourcing platform that applies artificial intelligence and machine learning to enterprise procurement. The technology automates supplier recommendations, event creation, and workflow management for both tail spend and strategic sourcing. It integrates with major enterprise systems to streamline operations across procurement and supply chain functions.
The platform's core technical domains include machine learning, artificial intelligence, generative AI, and automation. By automating routine procurement tasks, the system reports reducing sourcing cycle times by over 55% and saving enterprises tens of thousands of manual hours annually. This allows procurement teams to focus on higher-value strategic activities.
Fairmarkit operates in the enterprise procurement and supply chain sectors. The company's product addresses a specific operational challenge - managing high-volume, low-value transactions (tail spend) - which can be resource-intensive when handled manually. The AI-driven approach aims to bring efficiency and data-driven decision-making to this area of business operations.
