Adjustments based on valid cost forecasts

Supporting the decision to divest with the help of data science

CUSTOMER PROFILE

Company name: BwFuhrparkService GmbH
Revenue: > €340 million
Employees: > 1,400
Headquarters: Troisdorf

REQUIREMENTS

In addition to standard commercial vehicles, BwFuhrparkService GmbH also owns vehicles with special military equipment (hümS).
These hümS vehicles are very expensive to purchase. It is therefore very important to know the optimal economic replacement time.
The project aimed to forecast the costs for existing vehicles over the next two years in order to make an optimal control decision in comparison with the replacement vehicle.

OUR SERVICES

Development of the technical concept in collaboration with the department
Architectural consulting and implementation
Implementation of the predictive model for forecasting cost trends (historical data on cost trends, maintenance information, contract data, mileage, and core vehicle information (e.g., component catalog) have been included).
Visualization of data using Business Objects Design Studio

CLIENT VALUE

Reliable decisions with the help of automated forecasts
Cost savings through optimal modulation decisions

TECHNOLOGIES

SAP BW 7.4
SAP Business Objects Design Studio
IBM SPSS

Interested in additional case studies?

To Our Case Studies