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Harvard Business School

Driving Decarbonization at BMW

By: Shirley Lu, George Serafeim, Michael W. Toffel

The case describes BMW's electrification and decarbonization strategy, and how the company measured carbon emissions throughout the life cycle of its vehicles and used tools like carbon abatement…

  • Length: 34 page(s)
  • Publication Date: Oct 6, 2022
  • Discipline: Accounting
  • Product #: 123008-PDF-ENG

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The case describes BMW's electrification and decarbonization strategy, and how the company measured carbon emissions throughout the life cycle of its vehicles and used tools like carbon abatement cost curves to evaluate decarbonization opportunities. In mid-2022, automakers, consumers, regulators, and investors were focusing on the transition from internal combustion engine (ICE) vehicles to electric vehicles (EV). While this would reduce tail-pipe emissions, the production of EVs-and especially their batteries-increased emissions in the supply chain. Under CEO Oliver Zipse, BMW was focusing on life cycle emissions and was pursuing a flexible powertrain strategy by offering vehicles with several powertrain options: gasoline and diesel-fueled ICE, plug-in hybrid electric vehicles (PHEV), and battery electric vehicles (BEV). Meanwhile, competing automakers were announcing deadlines by which they would stop selling ICE vehicles, buoyed by investment analysts and favorable press. BMW's approach was receiving a frostier reception in the stock market. Facing these pressures, how should BMW communicate and convince its stakeholders that its strategy was sustainable for both the environment and BMW's financial performance?

Learning Objectives

To introduce the fundamentals of carbon accounting and highlight key qualitative characteristics of these carbon emissions metrics. To examine the tools that firms use to manage and reduce carbon emissions. To identify the institutions involved in enhancing credible communication of corporate sustainability performance.

Oct 6, 2022 (Revised: Jun 21, 2024)

Discipline:

Geographies:

China, Europe, Germany, United States

Industries:

Automotive industry, Electric power, Transportation and distribution

Harvard Business School

123008-PDF-ENG

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bmw case study solution

CASE STUDY BMW NORTH AMERICA

Generative AI in the driver’s seat

Accenture and BMW teamed up to create a new platform that uses generative AI to drive decisions across North America, accelerating productivity and experiences.

2-MINUTE READ

Turning enterprise data into knowledge entails sharing deep subject matter expertise between many people and sources. This process takes a considerable amount of time—days, weeks or even months.

But thanks to the power of generative AI (gen AI), we’re now able to shorten that time frame, going from data to knowledge to real-time insights in just minutes.

That’s what we’re doing with BMW North America, using our gen AI platform EKHO (Enterprise Knowledge Harmonizer and Orchestrator) to collect and analyze its enterprise data. The platform uses large language models to intelligently answer complex questions across business functions and use cases.

The heart of the platform contains multiple AI-enabled applications (GPT agents) that intelligently choose the right data source and pull information based on the user’s question and enterprise-specific data.

When an employee asks a question through the platform’s simple interface, it selects the right knowledge base and continues to refine answers based on the user’s feedback. EKHO solves new issues by learning from and applying past scenarios and pulling any new information added to the knowledge bases in real time.

productivity surge with EKHO

bmw case study solution

Gen AI: The reverb effect

Thanks to the platform’s flexibility, EKHO can be applied to a vast number of tasks across the company—and on the showroom floor.

Imagine a BMW customer walks into a dealership, ready to buy their dream car but not prepared to make lots of decisions. Between the paint, tech, interiors and accessories, there are nearly 10 million possible configurations. Each variable has its own set of rules, which means some features aren’t compatible.

In the past, a BMW salesperson would have to consult manuals—spending hours cross-checking different features and customizations. Using EKHO, salespeople can cut the time consuming process to a matter of minutes.

No limits, all speed

With its customizable architecture, EKHO use cases are virtually limitless across organizations and business functions. For example, in manufacturing, it can be used to optimize supply chain processes by answering inventory and logistics questions.

The EKHO platform also can be integrated with marketing and sales, providing real-time data and customer insights to optimize campaigns.

Regardless of industry or use case complexity, EKHO’s flexible architecture and real-time analysis capabilities have the power to help companies like BMW use data and insights to stay in the fast lane.

We are making bold moves, together

bmw case study solution

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MEET THE TEAM

Roland Mayr

Senior Managing Director

Raju Ivaturi

Client Account Executive

Harminder Anand

Technology Delivery Lead

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