When a business grows everything is amplified and this includes processes that are inefficient and time-consuming. You’ve heard us say it once, and we’re saying it again - the good gets great and profitable, while the bad gets worse.
As the business scales, the successful aspects get amplified and so do the not so successful. But what if we could use historical data to provide the sales team with a suggested sale price that keeps the business profitable.
A large logistics company worked with Razor on a data feasibility study and uncovered some groundbreaking opportunities that would improve their bottom line and scale even further all based on their data and machine learning.