top of page
Group 120.png

Financial Analysis

Revenue Management for Network Pricing


A large company with over USD 200 million annual revenues had a dispersion problem: equivalent merchants and types of subnetworks were priced very differently. 

It was not only about pricing though: they didn’t have a quoting internal process either.


Exploratory Descriptive Analysis followed by Machine Learning, we sought which variables were determinants of the undesired dispersion. With this formally set, it was possible to engineer a quantitative structure for their clients’ rentability, followed by adjustments by the company.

A quoting app was designed by Finor, followed by a simulations one, resolving many previously important flaws.

Benefits Achieved

• Effective control over their client's portfolio, 
• Formal key processes governance established with useful apps for the team,
• Added USD 100k monthly recurrent revenue.

bottom of page