The increase of the Company income by 33% due to the automation of the settlements with clients
The Company provides services on its online platform. Contracts are made with commercial and state-funded organizations and the users of the services are workers of the above organizations or their subsidiaries
Problem
Since payments take place upon providing services, after the work has been completed the system cannot determine which company should be billed because users while registering on the platform
  • made mistakes in the details of the Organization with which the Company had made a contract
  • gave the details of the subsidiary of the Organization
Thus, in 35% of cases a bill could not be generated automatically
Solution
For determining who should be billed, the Company created a group of workers who were manually searching for the association of the platform users with the clients with whom the contract was made.

It was easy to implement this decision; however, it was highly inefficient:
  • the work took a lot of time
  • additional monthly expenses related to the group maintenance were required

Therefore, in order to increase the speed of the work and reduce costs it was decided to develop an automated system for determining which client organization a certain service user belongs to.
What has been done
At the first stage, signs were listed by which it would be possible to determine the association of a user with a client of the Company.

At the second stage, an algorithm was developed; based on the list of signs and using the developed algorithm the system could find coincidences in the details of a user of the platform and a client organization and determined who should be billed.

The algorithm has allowed the Company to almost completely automate settlements with clients, though a certain percentage of complex situations are handled by the support department
Achieved goals due to the Project realization
  • the number of automatic billing has increased from 65% to 98%
  • the number of monthly incoming payments has increased by 46%
  • the Company has reduced the expenses on the maintenance of the additional group of employees by 89%
Technologies
User’s Interface: SPA, TypeScript, React, Deployment in AWS Cloud
Back Office: Java, Spring Boot, MySQL (AWS RDS), Deployment in AWS Cloud