One of our multi-national conglomerate customers had an interesting task they wished to tackle with the help of Suplari’s AI-powered insights. Their Procurement team caught word that the company’s employees were charging multiple Amazon Prime memberships to their corporate credit cards. If true, this presented two potential problems to the company:
- There was untapped potential to negotiate and consolidate all these memberships into one larger Prime account with Amazon, thereby saving the company money on a bulk deal.
- The company would be interested in detecting and eliminating a potential source of employee spend fraud, whereby employees could be charging personal Prime memberships to their corporate cards.
But first the company needed quality spend fraud visibility – Enter Suplari AI-powered custom Insights!
Using our customer’s P-Card data, Suplari was able to configure an AI-powered insight with machine learning algorithms that would detect spend fraud – transactions from Amazon that were specifically Amazon Prime subscription transactions. The insight was so intelligent that it detected not only the current subscription charges, but also the past monthly and annual subscription charges, which have changed in amounts over the years.
When our customer saw the results, they were able to act with precision on how to resolve this spend fraud issue through consolidations, policy changes, and enforcement. This is just one way that Suplari helped one of our customers solve a real-world problem this week with AI-powered insights. Do you have similar “what if’s” about your spend data? How can Suplari help you today? Click here to learn more or schedule a demo.