Enterprise applications that had a lot of mundane repeatable activities have now been made interesting, and even more productive, with new insights that are available to enterprise staff, which could actually make the decisions better and more valuable to the enterprise, thereby saving the enterprise a significant amount of money.

The recruitment, time management, operation and capital expenditure, travel, and sales processes could be customized for specific users, clients, and geographies, leveraging the huge enterprise data available, and applying ML algorithms on them to come up with useful timely predictions.