Suplari: Vendor Analysis (Part 2) — Strengths and Weaknesses

As indicated in Part 1, Suplari was formed to get the relevant purchasing data out of siloed enterprise systems and into the hands of procurement professionals who needed it to make decisions. Billing itself as “AI-Driven Analytics for Modern Procurement Teams,” Suplari was formed with the goal to use all of the available, disparate enterprise data, machine learning and a modern user experience to put the enterprise — and the employee — back in charge when dealing with their suppliers in negotiations.

The co-founders all had over two decades of experience in enterprise software, SaaS/Cloud, and data, so they realized this is no easy feat. Not only did they know that the data was usually dirty, and disparate, but that simply providing one view would result in a deluge that would be more than the average procurement professional could process, and that the professional would be no better off with too much data to try to make sense of in a limited time as they are when they have too little. To solve this problem, they decided they would apply machine learning and AI to identify patterns and simplify the processes of cleansing, classification and connection — the third being the more untapped need — and opportunity — in the procurement space today.

This Spend Matters PRO Vendor Snapshot will explore Suplari's strengths and weaknesses, providing facts and expert analysis to help organizations decide if the vendor is the right one for their shortlist. For an overview of the provider and its platform, see Part 1. In Part 3, we will conclude with an analysis of Suplari’s competitors and offer a final summary.