Driving toward the future of transportation

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A global auto manufacturer undertook an innovative Artificial Intelligence-based approach to find a profitable road forward in the personal mobility marketplace.

Client challenge

Evaluate and enter potential new markets using data-driven decision making:

  • Uncertainty about the future of new disruptive markets (e.g., ride sharing, autonomous cars, electric vehicles).
  • Lack of sufficient data to make informed predictions.
  • Inability to analyze multiple business scenarios built on many variables.

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PwC’s solution

Use agent-based modeling and artificial intelligence techniques to analyze data, evaluate scenarios and find winning strategies:

  • Conduct a five-step evaluation of the market and all its key variables.
  • Collect and process data from a wide variety of structured and unstructured data sources.
  • Draw conclusions based on advanced models that run hundreds of thousands of ‘what-if’ simulations.

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Impact on client’s business

  • The company was able to select the most appropriate strategies and locations for market entry.
  • It used analytic insights from the agent-based model to inform its long-term go-to-market and investment strategy.
  • Rather than face the challenges of industry disruption, it has been able to disrupt itself proactively to prepare for the future.

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"The company’s data-driven decisions are now helping it disrupt itself, discover new revenue streams, and avoid any potholes that the future of personal mobility may present."

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Contact us

Gerard Verweij

Global AWS Leader and Global Data & Analytics Leader, PwC US