Last month, we examined the current constraints on procurement today and discovered that data spend quality is an issue that’s holding organizations back. Digging in further, we found that spend classification is a big factor affecting organizations’ abilities to get high-quality data. The reality is you don’t know what you’re actually spending in each category. For many procurement teams, getting the insights they need is challenging because classification is painful and time-consuming, and they don’t know how to make things better.
Let’s take a deeper dive into some of the problems with spend classification today:
Why RPA is not a breakthrough advancement in procurement
Procurement teams globally are facing the same common challenges. We hear it over and over: CPOs are constantly being tasked with cutting costs and doing more with less … yesterday. But how are they doing in actually overcoming these challenges? Let’s take a look.
Today, many procurement organizations are attempting to solve these challenges by turning to robotic process automation (RPA) as a solution. But RPA, while serving as an important automation tool, operates in a regime that accepts current constraints as a given and works within them. It represents an incremental advance in the evolving technology frontier by addressing a subset of procurement domain competently, but it cannot be justifiably elevated to the status of a breakthrough technology.
Xeeva’s patented specialized procurement AI demolishes the resident constraints in procurement by transforming spend data and digitizing domain expertise.