Here are some examples of AI tools that have been successfully measured for ROI:
Salesforce Einstein: Salesforce Einstein is an AI-powered CRM tool that helps businesses manage customer relationships more effectively. A study by Nucleus Research found that businesses that used Salesforce Einstein saw an average increase in productivity of 15%, resulting in a 25% increase in revenue. This translated to an ROI of 475%.
IBM Watson Studio: IBM Watson Studio is an AI-powered platform that allows businesses to build and deploy machine learning models. A study by Forrester Consulting found that businesses that used IBM Watson Studio saw an average ROI of 459%, with a payback period of less than 6 months.
Hootsuite Insights: Hootsuite Insights is an AI-powered social media analytics tool that helps businesses monitor and analyze social media activity. A study by Nucleus Research found that businesses that used Hootsuite Insights saw an average ROI of 233%, with a payback period of less than 6 months.
Amazon SageMaker: Amazon SageMaker is an AI-powered platform that allows businesses to build and deploy machine learning models. A study by IDC found that businesses that used Amazon SageMaker saw an average ROI of 389%, with a payback period of less than 6 months.
Adobe Sensei: Adobe Sensei is an AI-powered platform that offers tools for image and video editing, document management, and more. A study by Forrester Consulting found that businesses that used Adobe Sensei saw an average ROI of 272%, with a payback period of less than 6 months.
These examples demonstrate that AI tools can have a significant impact on business performance and can generate high ROI. However, it is important to note that the impact of AI tools can vary depending on the specific use case, industry, and business objectives. It is important for businesses to carefully evaluate the ROI of AI tools before investing in them, and to continuously evaluate their impact to ensure they are meeting business objectives.
