To help our client, we built a machine learning algorithm that took the data from their two systems and analyzed it all from the start to find any dishonest patterns among the sales rep transactions. When anything was deemed suspicious, our algorithm would highlight it for an easier examination afterward by the appointed body. All the data was collected and examined within a dashboard we created as well so that analysis and reports could easily be made when needed. Most importantly, the spotting and highlighting of potential compliance breaches were made so much quicker through our algorithm that no human could reach the same accurate results within a reasonable timeframe.
With the help of our solution, our client had all the compliance risk preventive power in one easy-to-access dashboard just a click away. It used to take them weeks beforehand to spot any potential risks or breaches within the reported transactions, but now they have a report ready by the end of the day. Additionally, they didn’t need to set aside as much manpower to manually go through all the data, because now the algorithm highlights all the transactions worth investigating.