Company case by BearingPoint

BearingPoint Case: Digital Business Model of a Parking App

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< 100 Ratings

Case Prompt

A car park and parking lot operator pursues the strategic goal of exploiting new sources of income via digital business models. As part of this initiative, a MVP (Minimal Viable Product) was developed for a parking app that enables users to search and pay for paid parking spaces.

The managing director approaches you with the request to carry out a comprehensive analysis of the parking app. First, the digital business model of the parking app will be analyzed. After the strategic consideration, a financial evaluation of the parking app will be carried out. 

On this basis, a clear recommendation will be made as to whether the app should be rolled out throughout Germany or not. Finally, an analytics-driven expansion strategy should be considered.

Sample Structure

Warm-up Questions

  • Did you get the case so far?
  • Can you explain how the app should work?

Task 1 – Business Model in the Business Model Canvas

As digital business models are still unknown to the managing director, the first step is to gain an exact understanding of the parking app's business model. To do this, your client asks you to map the business model in the Business Model Canvas.

The Business Model Canvas is a tool for displaying business models. Company or product offerings (what?), customers (who?), infrastructure, and finances (how?) are analyzed using nine building blocks.

Task 2 – Business Case Calculation

Now the business model of the new idea of the parking app is fixed. Consequently, a business case is to be calculated. To calculate the profitability of the business idea, it is necessary to calculate different parameters. These include:

  • the expected turnover and costs in a)
  • additional key figures such as annual surplus and cash flows in b)

Task 3 – Analytics-Driven Expansion Strategy

Leap into the future: After one year, the launch of the app has proven to be a complete success on the market. The parking app is able to participate in the business of its competitors through the fees charged by the car park operators. In view of this positive development, the operator of the parking app is aiming to expand its own car parks. To this end, the company wants to identify regional gaps between parking supply and demand on the basis of the user data recorded via app. On this basis, attractive regions for the opening of new car parks are to be identified and prioritized.

Please answer the following questions:

a) What could the three steps Data Sources, Data Processing and Data Analysis look like for the described use case?

b) What pitfalls must the operator of the parking app expect for each level?

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