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7 Beispiele für Erfolgsgeschichten der digitalen Transformation

Autor
CLEVR
Letzte Aktualisierung
June 24, 2025
veröffentlicht
December 13, 2024

Digital transformation uses technologies like low code development, product lifecycle management (PLM), artificial intelligence (AI), cloud computing, and augmented reality (AR) to digitize manual processes and create opportunities for innovation. It can help businesses work smarter, build better customer relationships, and simplify operations.

But it’s not always easy to see how these technologies translate into real-world impact. Without concrete examples, digital transformation can feel overwhelming and abstract.

This guide explores 7 examples of digital transformation from companies that are solving problems and preparing for the future.

Short on Time? Here Are 5 Digital Transformation Examples

  • Starbucks introduced mobile apps to deliver product recommendations and allow customers to order ahead.
  • Goldman Sachs leveraged AI to develop personalized banking products.
  • Nel Hydrogen launched a PLM system to centralize engineering data and enhance operational efficiency.
  • IKEA introduced augmented reality (AR) so customers can visualize products in their homes.
  • UPS built a fleet management system optimized by machine learning to streamline driver routes and reduce operational costs.
  • CED implemented low code automation to speed up insurance claims processing by 50%.
  • The Mayo Clinic adopted cloud computing for faster patient data sharing, telehealth appointments, and AI-enhanced diagnoses.

7 Real-World Digital Transformation Examples

Let’s explore 7 outstanding examples of digital transformation strategies.

Starbucks: Leveraging Mobile Apps to Drive Growth

From a single coffee shop in Seattle, Starbucks has grown into a global coffee empire with more than 38,000 stores worldwide. A key driver of the company’s growth has been its customer-focused mobile apps, launched in 2009.

Initially, the Starbucks app provided basic features like store locations and drink information. But in 2015, Starbucks revolutionized the customer experience with Mobile Order & Pay, enabling customers to order via mobile devices and skip the lines. This innovation addressed a major pain point—long wait times—and improved customer satisfaction by simplifying the ordering process.

Since then, Starbucks has further enhanced customer experiences on mobile with AI-powered features that remember past orders, suggest new products, and deliver personalized promotions.

This digital solution has transformed Starbucks’ business. By 2019, nearly one-third of Starbucks customers used the app for payments, and in 2023, it accounted for 31% of all US sales.

Goldman Sachs: Harnessing Data to Meet Customers’ Financial Needs

Over the past 20 years, banking has shifted from branch-first to online-first as customer expectations evolve. In 2016, Goldman Sachs seized this opportunity and launched Marcus, its first line of personal banking products.

Marcus offers personal loans, savings accounts, certificates of deposit, and credit cards through a fully online platform. AI models allow the platform to analyze vast amounts of data, market trends, and financial risks to tailor each customer’s financial products, rates, and terms.

More recently, Goldman Sachs expanded Marcus’ capabilities, using AI-powered tools to assist customers with portfolio management. By evaluating factors like customers’ risk tolerance, investment goals, age, and savings, the platform recommends personalized investment strategies and asset allocations.

The result is a highly personalized offering that resonates with consumers. By 2022, Marcus had grown to 15 million customers and generated $110 billion in deposits and $19 million in loans. The platform now accounts for nearly 30% of Goldman Sachs’ total deposits.

Nel Hydrogen: Using PLM to Centralize Data and Enhance Operational Efficiency

Nel Hydrogen is a manufacturing company that makes equipment to produce hydrogen through electrolysis. Its products are critical to the green energy revolution, and the company has seen demand skyrocket in recent years.

However, the 97-year-old company’s engineering and manufacturing processes were largely manual, preventing the company from scaling to meet demand. To address this, Nel Hydrogen embarked on a digital transformation effort focused on digitizing manual processes and establishing a cohesive information system for its engineering teams.

In partnership with low code specialist CLEVR and enterprise software provider Siemens, Nel Hydrogen implemented the Teamcenter PLM system.

This new system integrated with Nel Hydrogen’s existing enterprise resource planning software and allowed for seamless sharing of engineering documentation processes and procurement data. It’s also directly integrated with the company’s computer-aided design systems for product design and manufacturing.

Teamcenter enabled Nel Hydrogen to centrally track and share critical product data, increasing the company’s productivity and enabling it to quickly fulfill orders. Now, Nel Hydrogen is in a perfect position to further digitize its operations, such as by adding real-time monitoring to production lines and tracking equipment performance over its full lifespan.

IKEA: Leveraging Augmented Reality to Drive Online Sales

Swedish furniture giant IKEA has traditionally relied on its vast warehouses to attract customers and boost sales. However, in the digital age, competition from online-first marketplaces and retailers like Amazon and Wayfair has pushed the company to reimagine its business models.

As part of its digital transformation journey, IKEA launched a mobile app in 2019 that allows customers to browse and order products while receiving AI-powered personalized product recommendations. For in-store shoppers, the app offers additional features like scanning items for detailed information or saving them to a wishlist.

To enhance the customer experience even more, IKEA introduced augmented reality (AR) tools that let customers visualize furniture in their homes. By capturing an image of a room with their phone, users can digitally position IKEA products to see how they fit and look in the space.

These innovations have significantly contributed to IKEA’s online growth. E-commerce sales skyrocketed from $2 billion in 2017, when AR was first introduced, to $10.4 billion in 2023.

UPS: Optimizing Fleet Management with Machine Learning

As e-commerce sales boomed, UPS faced the challenge of delivering more packages without significantly increasing costs or its carbon footprint. The company turned to digital technology to improve its business processes and efficiency.

In 2012, UPS launched a custom fleet management system optimized with machine learning. The platform analyzes millions of potential routes for each driver, identifying the most efficient options to minimize distance and fuel consumption. Famously, it eliminated most left turns to reduce idle time.

To complement this fleet management system, UPS equipped vehicles with GPS devices that provide turn-by-turn directions while simultaneously feeding data into the company’s route optimization algorithm for continuous improvement.

Thanks to this digital transformation success, UPS saves an estimated 3.3 million gallons of fuel and reduces carbon dioxide emissions by 31,000 metric tons annually. During the peak holiday shipping season, the company boasts an industry-leading on-time delivery rate of 97.5%.

CED: Automatisierung der Bearbeitung von Versicherungsansprüchen mit Low-Code-Automatisierung

CED ist ein europäischer Versicherungsmanager, der jährlich Schäden in Höhe von mehr als 2,5 Milliarden Euro bearbeitet. Das Unternehmen sah sich mit wachsenden Problemen konfrontiert, da es mehr Schadensfälle in Angriff nahm, da seine Bearbeitungspipeline in hohem Maße auf manuellen Prozessen und physischem Papierkram statt auf digitalen Arbeitsabläufen beruhte.

Mithilfe der Low-Code-Software CLEVR und Mendix entwickelte CED eine intuitive App, mit der Mitarbeiter Ansprüche schnell eingeben können. Das Unternehmen auch entwickelte eine Plattform zur automatischen Schadensregulierung um den Prozess der Schadensbearbeitung zu digitalisieren.

Durch das neue System war CED nicht mehr auf Papierformulare angewiesen und reduzierte die für die Schadensregulierung benötigte Zeit um 50%.

Darüber hinaus hat CED seine Automatic Damage Settlement Platform als Software-as-a-Service-Lösung für das Schadenmanagement von Versicherungen angeboten. Dies stellt einen neuen Geschäftszweig für CED dar, der Einnahmen generiert, die zur Unterstützung weiterer Digitalisierungsbemühungen verwendet werden können.

Mayo Clinic: Nutzung der Cloud zur Erhöhung der Kapazität des Klinikpersonals

Die Mayo Clinic — ein führendes Gesundheitssystem mit Hunderten von Krankenhäusern, Spezialgesundheitseinrichtungen und Kliniken für die Grundversorgung in den USA — sah sich mit einer steigenden Nachfrage nach Gesundheitsdienstleistungen und einem Mangel an qualifizierten Anbietern konfrontiert.

Um diesen Herausforderungen zu begegnen, hat die Mayo Clinic mehrere Initiativen zur digitalen Transformation ins Leben gerufen, um ihre Kapazitäten zu erweitern, die Behandlungsergebnisse zu verbessern und ein qualitativ hochwertiges Mitarbeitererlebnis zu gewährleisten.

Im Jahr 2019 ging die Mayo Clinic eine Partnerschaft mit Google Cloud ein, um Speichern Sie medizinische Daten sicher in der Cloud. Dieser Schritt ermöglichte es Anbietern im gesamten System, ohne Verzögerungen auf die gemäß dem Health Insurance Portability and Accountability Act (HIPAA) geschützten Patientenakten zuzugreifen. Dies trug zur Vereinfachung der Geschäftsprozesse und zur Verbesserung der Pflegekoordination bei.

Während der COVID-19-Pandemie wandte sich die Mayo Clinic der Cloud zu Telemedizin-Termine veranstalten, was es den Anbietern ermöglichte, mehr Patienten zu behandeln und die Gesundheit von Patienten und Anbietern zu schützen. Zwischen 2020 und 2022 das Gesundheitssystem Erhöhung der Telemedizin-Termine um 500%.

Cloud Computing hat es der Mayo Clinic auch ermöglicht KI-gestützte Analysen medizinischer Daten durchführen um bei Frühdiagnosen zu helfen. Zum Beispiel ist es KI-Tools werten Elektroenzephalogramme (EEGs) aus um die Alzheimer-Krankheit frühzeitig zu erkennen, wenn die Behandlung am effektivsten ist.

Diese Bemühungen zur digitalen Transformation haben das Unternehmen der Mayo Clinic gefestigt Ruf als führendes Krankenhaussystem in vielen Staaten dient es.

Letzte Gedanken zu Beispielen für die digitale Transformation

Diese Beispiele für die digitale Transformation unterstreichen das unglaubliche Potenzial von Technologien wie KI, Low-Code, PLM, Cloud Computing, mobilen Apps und Augmented Reality zur Transformation von Geschäftsprozessen. Sie zeigen auch die weitreichenden Auswirkungen digitaler Transformationen in verschiedenen Branchen.

Willst du mehr erfahren? Erkunden Erfolgsgeschichten von CLEVR-Kunden finden Sie weitere Beispiele für Strategien zur digitalen Transformation und erfahren Sie, wie Low-Code-Entwicklung Ihrem Unternehmen zum Erfolg verhelfen kann.


Häufig gestellte Fragen

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Die digitale Transformation integriert digitale Technologien — wie KI und Cloud Computing — in Ihre Kerngeschäftsprozesse. Ziel ist es, den Betrieb zu verbessern, das Mitarbeitererlebnis zu verbessern und die Kundenzufriedenheit zu steigern.

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Erfolgreiche Bemühungen zur digitalen Transformation können Technologien wie Cloud Computing, KI, Augmented Reality, mobile Apps, das Internet der Dinge (IoT), Workflow-Automatisierungen und Robotik beinhalten. Eine gut durchdachte Strategie für die digitale Transformation verwendet eines oder mehrere dieser Tools, um spezifische Geschäftsanforderungen zu erfüllen.

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FAQ

Can't find the answer to your question? Just get in touch

1

What is digital transformation?

Digital transformation integrates digital technologies—like AI and cloud computing—into your core business processes. The goal is to improve operations, enhance the employee experience, and boost customer satisfaction.

1

What technology does digital transformation require?

Successful digital transformation efforts may involve technologies like cloud computing, AI, augmented reality, mobile apps, the internet of Things (IoT), workflow automations, and robotics. A well-designed digital transformation strategy uses one or more of these tools to address specific business needs.

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