Fairmarkit is a cutting-edge startup that focuses on optimizing the procurement process, specifically targeting what is known as "tail spend." Tail spend refers to the smaller, less strategic purchases that companies make, which can often be overlooked but collectively add up to a significant amount of money. Fairmarkit uses advanced machine learning technology to streamline sourcing, vendor identification, and automated quoting, thereby accelerating the entire bid-to-buy process.

The company serves a diverse range of clients, including large enterprises like Blue Cross Blue Shield and Emirates Flight Catering. These clients operate in various industries but share a common need to manage their procurement more efficiently. Fairmarkit operates in the procurement technology market, which is growing rapidly as businesses seek to automate and optimize their purchasing processes.

Fairmarkit's business model is based on providing a software-as-a-service (SaaS) platform. Clients subscribe to the platform, which offers tools to manage tail spend more effectively. The platform helps procurement teams source items more easily, identify the best vendors, and automate the quoting process. This not only saves time but also ensures that companies get the best possible prices for their purchases.

The company makes money through subscription fees for its platform. Additionally, Fairmarkit may charge for premium features or additional services, such as advanced analytics and performance reporting. By automating many of the manual steps involved in procurement, Fairmarkit helps its clients cut procurement cycle times by up to 40%, leading to significant cost savings.

In summary, Fairmarkit is revolutionizing the way companies manage their tail spend by using machine learning to automate and optimize the procurement process. This allows businesses to save time and money, while also gaining better control over their purchasing activities.

Keywords: Tail Spend, Procurement, Machine Learning, Automation, SaaS, Sourcing, Vendor Identification, Cost Savings, Analytics, Subscription Model.