Benchmarking—the process of screening, selecting, and analyzing comparable companies—is time consuming. Analysts can spend innumerable hours every year preparing transfer pricing documentation, with a substantial portion of that time dedicated to benchmarking. Even with improvements in the quality of databases (which offer a vast array of quantitative and qualitative data), the sets of potential comparables that analysts must sift through are often enormous.

With the applications of artificial intelligence (or “AI”) expanding by the day, it is time to start thinking about whether AI could automate parts of the benchmarking process.


Continue Reading Artificial Intelligence for Benchmarking: The Wave of the Future