Case Study Spotlight: Real Companies Transforming with Google Cloud AI/ML

  • January 30, 2025
  • AI & Data
  • 4 min read
  • blog views
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Introduction

The integration of Artificial Intelligence (AI) and Machine Learning (ML) has become indispensable for companies while navigating the digital transformation process in order to streamline operations and deepen customer engagement. Google Cloud is one of the leading providers with a comprehensive AI/ML product portfolio that has been successfully adopted across industries. This article cites several case studies demonstrating real-life applications and tangible results achieved with Google Cloud's AI technologies. 


Retail & Consumer Goods

Google Cloud AI is transforming the operations of the leading retailers for better. 

Case Study 1: Target 

Target has leveraged Google Cloud to improve the customer experience by allowing personalized offers through its app and website. The company can deliver the right promotions to each shopper using highly advanced AI algorithms, thereby raising engagement and sales several folds. This change stands as an example of how AI can directly have an impact on revenue generation with increased customer satisfaction.(1) 

Case Study 2: Gojek 

An Indonesian super app called Gojek launched "Dira by GoTo AI," a voice assistant integrated into its GoPay service. With this innovation, users can use voice commands to complete transactions and streamline processes to better enhance user experience. Gojek reported an enormous reduction in transaction times and showed the kind of efficiency gain possible with AI.(2) 

Financial Services

The companies in the financial sector are leveraging Google Cloud AI to make funding easier and enhance the customer relationship by using data-driven insights. 

Case Study 3: Fundwell 

Fundwell uses Google Cloud AI in finance to make the process of getting funding easier and fast for businesses. With AI, Fundwell links companies with funding opportunities tailored to their needs and financial health data analysis. This accelerates access to money and makes customer experiences better.(2) 

Case Study 4: ING Bank 

ING Bank's generative AI chatbot is an example of how AI enhances consumers' self-service skills. Another example of how AI might bring about improvement in service delivery for banks would be the automated response to frequently asked questions, which has increased customer satisfaction and reduced operating costs. 

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Healthcare

Healthcare providers are embracing Google Cloud's AI solutions to automate administrative tasks and hence improve productivity and better patient outcomes. 

Case Study 5: Sami Saúde 

Sami Saúde, a healthcare organization, used Google Cloud's Gemini for Workspace to eliminate repetitive administrative work. It delivered an impressive productivity gain of 13% with better patient results through AI-powered patient summaries enhancing the accuracy of diagnoses.(3) 

Case Study 6: Genial Care 

Genial Care for autism care implemented Vertex AI, which has significantly enhanced its ability to keep session records for caregivers to review progress, a clear indication that AI is adding value to quality care in a healthcare organization.(4) 

Manufacturing & Industrial

Companies in the manufacturing sector have turned to Google Cloud's AI innovations to optimize energy safety audits with significant savings and efficiency gains. 

Case Study 7: AES 

AES has applied generative AI agents built with Vertex AI in its efforts to streamline energy safety audits in the energy sector. It has managed to reduce costs by as much as 99% and increase the speed of completion of audits from 14 days to one hour. Such results epitomize the potential AI has in making processes work better operationally and at a lower cost.(5) 

Case Study 8: Enpal 

German-based solar panel sales company Enpal automated its process of generating quotations using Google Cloud. It cut its quotation generation time from 120 minutes to merely 15 minutes by doing so and thereby greatly increasing its sales effectiveness.(6) 

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Key Benefits of Google Cloud’s AI/ML Solutions

Organizations that use Google Cloud's AI/ML tools have experienced the following benefits: 

  • Increased Efficiency: Automated routine tasks will free up team members to concentrate on strategic activities. 
  • Enhanced Customer Experience: Personalized interactions create a better and more loyal customer experience. 
  • Cost Reduction: Streamlined operations result in significant savings. 
  • Data-Driven Decisions: Advanced analytics provide actionable insights that drive business growth. 

Are you ready to transform your business with Google Cloud's AI/ML solutions? 

Begin at Netcom Learning Decision makers and IT experts to justify technology investments by going through these success stories and looking into the power of Google Cloud's AI/ML solutions. Real-world metrics that these case studies provide would act as potent evidence of AI in driving business success. 

Embrace the future of technology today—your journey towards digital transformation begins now! 

Janet Rhodes
Author

Janet Rhodes

Senior Training Manager,
NetCom Learning

Table of Contents

  • Introduction
  • Retail & Consumer Goods
  • Financial Services
  • Healthcare
  • Manufacturing & Industrial
  • Key Benefits of Google Cloud’s AI/ML Solutions
  • Related Resources