Cloud Migration Use Cases at a Glance
AWS Case Studies
Peloton
DoorDash
Shutterfly
Square
Epic Games
Coinbase
Instacart
Zoom
Medium
Snapchat
Netflix
Lyft
Unilever
Coca-Cola
Samsung
Time Inc.
Johnson & Johnson
Slack
General Electric
BMW
The Guardian
McDonald's
Volkswagen
Capital One
Azure Case Studies
ASOS
Heineken
Volvo
BBC
L'Oréal
Bupa
Marks & Spencer
Walmart
HSBC
Chevron
Daimler
EY
National Australia Bank
Shell
Tata Steel
Pearson
Adobe
DHL
Monzo
ASDA
Bupa
Volvo
BBC
L'Oréal
AB InBev
Google Cloud Case Studies
Spotify
Pandora
MLB
Zalando
Mayo Clinic
eBay
Wayfair
OpenAI
GitLab
Ocado
Etsy
Philips
Airbus
The New York Times
Lush
Vodafone
Colgate-Palmolive
UPS
HSBC
Peloton
Grubhub
Uber
Nestlé
Shopify
Table of Contents
- AWS Case Studies
- Azure Case Studies
- Google Cloud Case Studies
- Multi-Cloud and Hybrid Cloud Case Studies
AWS Case Studies
1. Peloton
Peloton, a leader in the fitness technology space, moved its workout streaming services to AWS to support a rapidly growing user base. By using AWS Elastic Load Balancing and auto-scaling, Peloton ensured uninterrupted live streaming of fitness classes, particularly during peak hours when demand surged. The move allowed Peloton to cut infrastructure costs, optimize resource usage, and improve customer experience by lowering latency during live class participation.
2. DoorDash
DoorDash, a prominent food delivery service, scaled its infrastructure with AWS during the COVID-19 pandemic when demand surged dramatically. The company used AWS Fargate for container management and S3 for storing real-time delivery data. The migration enabled DoorDash to process orders faster, reducing delivery times and improving user experience, while also keeping operational costs under control.
3. Shutterfly
Shutterfly, an online personalized photo product company, migrated to AWS to improve scalability during peak periods like holidays. Using AWS S3 and Glacier, Shutterfly securely stored billions of customer photos, which allowed the company to streamline its printing operations during peak demand while optimizing costs.
4. Square
Payment processor Square moved its backend systems to AWS to support its global operations. By leveraging AWS Lambda and API Gateway, Square enhanced its financial processing, achieving high transaction speeds and the ability to handle millions of payments in real-time. This migration allowed Square to scale its services efficiently without needing to overprovision resources.
5. Epic Games
The developers behind the global gaming sensation Fortnite adopted AWS to handle the large-scale multiplayer infrastructure required for its millions of players. By using AWS GameLift and EC2, Epic Games reduced latency for players and achieved a reliable and scalable architecture for hosting gaming events with massive traffic surges.
6. Coinbase
As a leading cryptocurrency exchange, Coinbase moved its operations to AWS to manage extreme trading volumes during volatile market conditions. AWS Auto-scaling allowed Coinbase to dynamically adjust its infrastructure to handle demand, ensuring uptime even during the busiest trading periods.
7. Instacart
Instacart, a grocery delivery platform, saw significant growth during the COVID-19 pandemic. By migrating to AWS, Instacart was able to scale its infrastructure quickly to meet this unprecedented demand. AWS Machine Learning services enabled route optimization for delivery drivers, reducing delivery times and enhancing customer satisfaction.
8. Zoom
With the dramatic increase in video conferencing demand in 2020, Zoom expanded its infrastructure on AWS to ensure reliable video calls for millions of users. AWS’s global infrastructure allowed Zoom to scale quickly, handling vast amounts of video and audio data with low latency.
9. Medium
Blogging platform Medium uses AWS to manage its growing content and user base. By adopting AWS EC2 and RDS, Medium was able to scale its backend infrastructure while maintaining fast content delivery speeds for its millions of users.
10. Snapchat
Snap Inc., the company behind Snapchat, migrated its global infrastructure to AWS to handle the massive volume of daily multimedia uploads and real-time processing. Using AWS S3 and EC2, Snapchat provided low-latency storage and image processing to billions of users across the globe.
11. Netflix
Netflix transitioned its entire streaming platform to AWS, taking advantage of AWS’s Elastic Load Balancing and global content delivery network to serve millions of users with minimal downtime. This migration allowed Netflix to focus on delivering content and personalizing recommendations for viewers based on AWS’s data analytics capabilities.
12. Lyft
Lyft moved its backend services to AWS to optimize real-time ride-hailing logistics. By using AWS Lambda and S3, Lyft was able to scale its services efficiently, improving the speed at which drivers and riders are matched while handling the surge in users.
13. Unilever
Unilever adopted AWS for its global marketing operations, allowing the company to analyze and optimize consumer data across different regions. AWS’s data analytics tools helped Unilever create more effective campaigns, personalizing marketing messages to different target audiences.
14. Coca-Cola
Coca-Cola shifted its vending machine data to AWS, using AWS IoT to monitor and optimize machine performance in real-time. This enabled Coca-Cola to manage its inventory more efficiently and improve customer interactions through personalized offers.
15. Pinterest
Pinterest used AWS to manage and store billions of images. By leveraging S3 for scalable image storage and EC2 for compute capacity, Pinterest improved the user experience with faster image loading times while reducing operational costs.
16. Samsung
Samsung Electronics migrated its Internet of Things (IoT) platform to AWS to better manage millions of connected devices. AWS IoT services helped Samsung enhance device performance monitoring and allowed the company to build more responsive IoT products.
17. Time Inc.
Time Inc. moved over 20 websites to AWS, reducing infrastructure costs by 60% and improving the load time of its digital content. AWS enabled Time Inc. to handle high traffic volumes during major news events without experiencing downtime.
18. Johnson & Johnson
Johnson & Johnson adopted AWS for its clinical trials and healthcare data storage. AWS’s secure cloud environment allowed the company to analyze medical data more efficiently while ensuring compliance with HIPAA regulations.
19. Slack
Slack migrated its messaging platform to AWS to scale its services in response to its growing user base. By using AWS S3 for message storage and EC2 for backend compute, Slack was able to provide a highly reliable service to millions of daily users.
20. General Electric (GE)
GE uses AWS to power its industrial IoT platform, Predix, which collects and analyzes machine data from around the world. This allows GE to offer predictive maintenance services, improving operational efficiency for its clients.
21. BMW
BMW Group transitioned its data analytics platform to AWS to enhance its development of autonomous vehicles. By using AWS Machine Learning services, BMW was able to simulate and analyze driving data, accelerating the development of AI-powered cars.
22. The Guardian
The Guardian moved its website and news platforms to AWS to improve scalability and performance. AWS helped the newspaper handle spikes in traffic during breaking news events while optimizing the overall performance of its content management system.
23. McDonald’s
McDonald’s migrated its digital presence and mobile application backend to AWS to enhance performance during promotional events. The company used AWS Lambda for dynamic scaling, ensuring their platform remained reliable during global campaigns like Monopoly.
24. Volkswagen
Volkswagen leveraged AWS to build its industrial cloud, connecting data from all of its production plants around the world. This migration allowed Volkswagen to optimize its production processes and reduce inefficiencies across its manufacturing operations.
25. Capital One
Capital One transitioned its financial services infrastructure to AWS, taking advantage of AWS’s advanced security features to meet stringent compliance standards. The migration improved the performance of Capital One’s mobile banking app and allowed it to scale easily to meet increasing user demands.
26. BMW
BMW adopted AWS to manage its connected car data, using AWS IoT Core to provide real-time diagnostics and data processing for millions of vehicles on the road.
27. Peloton
Peloton used AWS Lambda to optimize its live fitness streaming, enabling real-time interactive classes with millions of users worldwide. AWS also supported Peloton’s rapid scaling as demand for home fitness surged globally.
28. ZoomInfo
ZoomInfo transitioned to AWS to handle its customer relationship data, leveraging AWS’s RDS and EC2 to ensure secure and scalable data storage, improving customer insights and the speed of its services.
29. DoorDash
By migrating to AWS Fargate and S3, DoorDash scaled rapidly to handle the increased demand for food deliveries during the pandemic, optimizing logistics and ensuring reliable service at peak times.
30. Instacart
Instacart used AWS’s machine learning services to analyze grocery delivery routes and reduce delivery times, while AWS Lambda and S3 enabled efficient order processing during unprecedented surges in demand.
Azure Case Studies
31. ASOS
ASOS migrated to Microsoft Azure to handle the rapid growth of its global fashion e-commerce platform. By leveraging Azure’s autoscale features, ASOS managed to handle millions of customer requests during peak shopping periods, ensuring site stability during high-traffic events.
32. Heineken
Heineken used Azure to create a centralized marketing platform, enabling the company to run global campaigns across multiple countries. Azure’s scalability helped Heineken handle the data and customer interactions from these campaigns in real time, improving overall campaign effectiveness.
33. Volvo
Volvo adopted Azure to power its connected car services, utilizing Azure IoT Hub to collect and process real-time data from its fleet of vehicles. This allowed Volvo to offer better vehicle diagnostics, maintenance alerts, and improved customer experiences.
34. BBC
The British Broadcasting Corporation (BBC) shifted to Azure to enhance its video streaming capabilities during large-scale events like the World Cup. Azure Media Services enabled the BBC to deliver content to millions of viewers seamlessly while optimizing bandwidth and performance during broadcasts.
35. L’Oréal
L’Oréal leveraged Microsoft Azure to modernize its global CRM systems, enabling real-time analysis of customer data from stores and online purchases. By using Azure AI, L’Oréal could personalize marketing campaigns based on customer preferences, improving engagement and conversion rates.
36. Bupa
Bupa, a leading healthcare provider, migrated to Azure to manage patient records securely and efficiently. By utilizing Azure’s healthcare compliance tools, Bupa ensured GDPR compliance while enabling seamless access to patient data across its telehealth services.
37. Marks & Spencer
UK retailer Marks & Spencer moved its IT infrastructure to Azure to enhance its e-commerce operations. By using Azure Kubernetes Service (AKS) for container orchestration, Marks & Spencer could scale its website dynamically during busy periods like Black Friday, ensuring smooth customer experiences.
38. Walmart
Walmart uses Azure for its e-commerce platform, taking advantage of Azure Synapse Analytics to process and analyze large datasets in real-time. This migration allowed Walmart to offer personalized shopping experiences, improve supply chain management, and optimize inventory levels during peak seasons.
39. HSBC
HSBC migrated critical workloads to Microsoft Azure to modernize its banking services and improve security. Azure’s compliance solutions helped HSBC meet strict regulatory requirements, while cloud-based operations reduced infrastructure costs and improved service delivery times.
40. Chevron
Chevron adopted Azure to power its oil and gas exploration analytics. By utilizing Azure’s AI and machine learning tools, Chevron could analyze geological data more efficiently, improving its ability to locate new oil fields while reducing operational costs.
41. Daimler
Daimler shifted its global IT infrastructure to Azure, utilizing Azure Machine Learning to enhance vehicle design simulations. This migration enabled Daimler to reduce development times and improve the overall quality of its vehicle production process.
42. EY (Ernst & Young)
EY uses Azure to host its tax and audit services, leveraging Azure’s data analytics tools to provide clients with real-time insights. This migration allowed EY to offer more efficient and scalable services while improving data security for its clients.
43. National Australia Bank (NAB)
NAB adopted Azure to power its cloud-first banking platform. By using Azure SQL Database and Azure Machine Learning, NAB was able to enhance customer personalization, streamline operations, and improve mobile banking app performance.
44. Shell
Shell migrated to Azure to monitor and optimize its oil and gas exploration efforts. Azure IoT and AI tools enabled Shell to collect real-time data from its global drilling operations, improving efficiency and reducing environmental impact.
45. Tata Steel
Tata Steel used Azure to modernize its production lines by incorporating real-time data analytics into its manufacturing process. Azure’s AI services helped Tata Steel monitor and improve operational efficiency, resulting in reduced costs and enhanced production quality.
46. Pearson
Education company Pearson moved its digital learning platforms to Azure, using Azure Cognitive Services to provide personalized learning experiences for students. The migration improved the platform’s ability to scale during peak usage periods, such as exam seasons.
47. Adobe
Adobe shifted its Creative Cloud services to Azure to take advantage of Azure’s global infrastructure. The migration allowed Adobe to improve performance for millions of users worldwide while incorporating AI-powered features like automated photo editing into its software.
48. Volvo
Volvo uses Azure IoT Hub to collect and process real-time data from its vehicles, allowing the company to offer predictive maintenance and vehicle diagnostics. This cloud-based approach improved customer satisfaction by reducing service times and enhancing vehicle performance.
49. DHL
DHL adopted Azure AI and machine learning to optimize its logistics operations globally. The migration to Azure allowed DHL to improve route planning, reduce delivery times, and cut operational costs, particularly during high-demand periods like holiday shopping seasons.
50. Monzo
Digital bank Monzo moved its core banking infrastructure to Azure, taking advantage of Azure’s security and compliance features to meet financial regulations. The migration allowed Monzo to scale its services efficiently, particularly its mobile banking app, while ensuring secure handling of sensitive customer data.
Google Cloud Case Studies
51. Spotify
Spotify transitioned its streaming service to Google Cloud to manage its growing global user base. Google’s machine learning tools helped Spotify optimize data delivery and personalize music recommendations for users, ensuring fast and seamless streaming experiences.
52. Pandora
Pandora moved to Google Cloud to improve its data processing capabilities, using Google’s AI and machine learning services to offer personalized playlists to listeners. The scalability of Google Cloud enabled Pandora to handle millions of concurrent listeners without latency issues.
53. Major League Baseball (MLB)
MLB uses Google Cloud AI to deliver real-time game analytics and video streaming. Google Cloud’s data analytics services allow MLB to offer fans interactive, data-driven experiences, such as player statistics and live game insights, enhancing fan engagement.
54. Zalando
Zalando, an online fashion retailer, migrated to Google Cloud to optimize its supply chain management. Using Google’s data analytics and AI tools, Zalando improved demand forecasting, ensuring that stock levels matched customer demand during peak seasons like Black Friday.
55. Mayo Clinic
Mayo Clinic uses Google Cloud to securely store and process patient data in compliance with healthcare regulations. The migration allowed Mayo Clinic to accelerate diagnostics and improve patient outcomes by leveraging Google’s AI-powered healthcare tools.
56. eBay
eBay adopted Google Cloud for its data storage and search capabilities. By leveraging Google’s AI tools, eBay enhanced the accuracy of product search results and improved the overall user experience for buyers and sellers on its platform.
57. Wayfair
Wayfair uses Google Cloud’s analytics tools to optimize its digital marketing campaigns, delivering personalized ads to customers based on browsing history and preferences. The migration to Google Cloud helped Wayfair improve conversion rates while reducing marketing costs.
58. OpenAI
OpenAI moved to Google Cloud to accelerate its research in artificial intelligence. By using Google’s scalable infrastructure, OpenAI could train its AI models on massive datasets, advancing its development of innovative machine learning technologies.
59. GitLab
GitLab migrated to Google Cloud to improve the reliability of its DevOps platform. Google Cloud’s global infrastructure allowed GitLab to reduce latency and improve deployment times, enhancing the developer experience.
60. Ocado
Ocado, an online grocery retailer, adopted Google Cloud AI to enhance its automated warehouse operations. Using Google’s machine learning tools, Ocado optimized its logistics and delivery systems, improving customer satisfaction and operational efficiency.
61. Etsy
Etsy migrated its e-commerce platform to Google Cloud, leveraging Google’s machine learning capabilities to enhance product recommendations and search functionality. This move improved the shopping experience for Etsy’s millions of users and sellers.
62. Twitter
Twitter uses Google Cloud to process and analyze vast amounts of real-time data. By leveraging Google’s data analytics tools, Twitter improved its ability to deliver relevant content and advertisements to users, enhancing engagement on the platform.
63. Philips
Philips adopted Google Cloud to power its healthcare informatics solutions. The migration allowed Philips to process and analyze medical imaging data more efficiently, improving diagnostic accuracy and patient care.
64. Airbus
Airbus uses Google Cloud to analyze satellite imagery for its defense and space division. The scalability of Google Cloud allowed Airbus to process large volumes of Earth observation data, enhancing its geospatial intelligence capabilities.
65. The New York Times
The New York Times migrated its content management system to Google Cloud, improving its ability to deliver news content to readers worldwide. Google Cloud’s global infrastructure ensured fast load times and reliable access to news articles, even during breaking news events.
66. Lush
Cosmetics retailer Lush moved its e-commerce platform to Google Cloud, using Google’s analytics tools to personalize the shopping experience for customers. The migration improved website performance and allowed Lush to handle traffic spikes during product launches and sales events.
67. Vodafone
Vodafone adopted Google Cloud to enhance its customer service operations. By leveraging Google’s AI and machine learning tools, Vodafone improved its ability to predict and resolve customer issues, reducing call center wait times and improving overall customer satisfaction.
68. Colgate-Palmolive
Colgate-Palmolive migrated its data analytics platform to Google Cloud, using BigQuery to process and analyze large datasets. This move allowed the company to gain deeper insights into consumer behavior and optimize its product development and marketing strategies.
69. UPS
UPS uses Google Cloud to optimize its logistics and delivery operations. By leveraging Google’s machine learning and data analytics tools, UPS improved route planning and package tracking, resulting in faster delivery times and reduced operational costs.
70. HSBC
HSBC adopted Google Cloud to enhance its fraud detection capabilities. By using Google’s machine learning tools, HSBC improved its ability to identify and prevent fraudulent transactions, enhancing security for its customers worldwide.
71. ASDA
UK supermarket giant ASDA migrated its e-commerce platform to Microsoft Azure to handle online shopping surges. Using Azure’s cloud-native solutions, ASDA enhanced website performance during peak times, allowing the company to manage promotions and holiday rushes seamlessly while scaling in real time.
72. Bupa
Bupa, a leading international healthcare group, moved its patient records and telehealth services to Azure, utilizing the platform’s strong security and compliance features. Azure’s healthcare tools helped Bupa manage patient data securely, ensuring GDPR compliance while improving access to telemedicine services for its patients.
73. Volvo
Volvo adopted Microsoft Azure for its connected car services, leveraging Azure IoT Hub to collect real-time data from its fleet of vehicles. This enabled Volvo to offer improved vehicle diagnostics, predictive maintenance, and enhanced customer experiences, such as personalized driving features.
74. BBC
The British Broadcasting Corporation (BBC) uses Microsoft Azure to stream its content globally. With Azure Media Services, the BBC enhanced its digital video streaming capabilities, ensuring content delivery to millions of users during major events like the Olympics and World Cup.
75. L’Oréal
Cosmetics giant L’Oréal moved its global CRM platform to Azure to gain better insights into customer preferences and buying behaviors. Azure’s AI-powered data analysis tools allowed L’Oréal to personalize marketing campaigns, improving customer engagement and boosting sales.
76. AB InBev
AB InBev, the world’s largest brewer, migrated its supply chain and data analytics operations to Azure. The migration allowed AB InBev to optimize its global beer production, reducing inefficiencies by using real-time data to forecast demand and improve logistics.
77. Aston Martin
Luxury car manufacturer Aston Martin moved its product design and engineering data to Azure, using Azure’s powerful computing resources to accelerate vehicle design simulations. This reduced development cycles, enabling the company to bring new models to market faster.
78. DHL
Global logistics company DHL uses Azure’s cloud platform to manage its supply chain and logistics operations. By leveraging Azure’s machine learning capabilities, DHL optimized delivery routes, improved package tracking, and reduced operational costs.
79. Monzo
UK-based digital bank Monzo migrated its core banking infrastructure to Azure, allowing it to scale efficiently and securely. Azure’s compliance with financial industry regulations helped Monzo expand its user base while maintaining a strong focus on data security and customer privacy.
80. Tata Steel
Tata Steel adopted Azure for its manufacturing operations, using the platform to monitor and analyze production data in real time. Azure’s cloud solutions helped Tata Steel improve operational efficiency and reduce downtime across its global plants.
81. Spotify
Spotify moved its music streaming service to Google Cloud to support its growing global user base. Google’s machine learning capabilities helped Spotify offer personalized music recommendations and optimize its data infrastructure to handle millions of concurrent streams daily.
82. Pandora
Music streaming service Pandora uses Google Cloud for its data analysis and machine learning needs, enabling the platform to offer personalized playlists and predict user listening habits. Google Cloud’s scalability allowed Pandora to deliver high-quality audio streaming across millions of devices.
83. Major League Baseball (MLB)
MLB adopted Google Cloud to power its real-time game analytics and video streaming platform. Google’s data analytics tools allowed MLB to offer fans interactive experiences, such as real-time game stats and player performance insights, while optimizing content delivery.
84. Zalando
Fashion e-commerce company Zalando migrated to Google Cloud to better manage its global supply chain and inventory. Using Google Cloud’s AI-powered analytics tools, Zalando was able to forecast demand more accurately, optimizing stock levels and reducing waste.
85. Mayo Clinic
The Mayo Clinic moved its patient data systems to Google Cloud, allowing doctors and researchers to access data in real time while ensuring HIPAA compliance. Google Cloud’s AI tools enabled faster diagnostics and more personalized patient care.
86. eBay
Online marketplace eBay shifted its infrastructure to Google Cloud to enhance its data storage and search capabilities. Google’s machine learning models helped eBay improve search accuracy and provide more relevant product recommendations to users.
87. Wayfair
Wayfair, the online furniture retailer, adopted Google Cloud to improve its data-driven marketing campaigns. By using Google’s analytics tools, Wayfair could deliver personalized ads to customers, improving conversion rates and reducing ad spend.
88. OpenAI
OpenAI, the AI research organization, uses Google Cloud to train its machine learning models. Google Cloud’s scalable infrastructure allowed OpenAI to handle massive datasets and run complex simulations, accelerating the development of cutting-edge AI technologies.
89. GitLab
GitLab moved its DevOps platform to Google Cloud to offer users faster and more reliable services. Google’s global infrastructure allowed GitLab to reduce latency and improve deployment times, enhancing the developer experience.
90. Ocado
Online grocery retailer Ocado adopted Google Cloud to enhance its automated warehouse operations. By using Google Cloud’s AI tools, Ocado optimized its logistics and delivery systems, improving customer satisfaction and operational efficiency.
91. ZoomInfo
ZoomInfo, a business intelligence platform, moved its customer relationship data management system to AWS. By using AWS services such as RDS and S3, ZoomInfo could securely manage large datasets, ensuring faster insights and improved data protection. The platform also benefited from AWS’s ability to scale resources dynamically, helping ZoomInfo handle increased demand for its services efficiently.
92. Shell
Shell shifted its oil exploration data to Azure, leveraging the platform’s Internet of Things (IoT) services to monitor equipment and operational data in real time. Azure’s AI-driven insights helped Shell reduce exploration downtime and optimize oil production by predicting maintenance needs and improving operational efficiency.
93. Pinterest
Pinterest migrated its infrastructure to Google Cloud to enhance its image storage and search capabilities. With Google Cloud’s machine learning tools, Pinterest improved its image recognition features and provided faster global content delivery. This migration allowed Pinterest to handle billions of user-generated images and ensure fast and reliable search results across the platform.
94. Robinhood
Robinhood, a leading stock trading platform, moved its backend operations to AWS to scale securely during times of high trading volume. AWS allowed Robinhood to process millions of trades quickly and reliably, even during market surges, ensuring the platform stayed online without experiencing downtime. By using AWS’s auto-scaling capabilities, Robinhood optimized its infrastructure costs.
95. DocuSign
DocuSign migrated to Azure to enhance its digital signature services by providing better security and global scalability. By using Azure’s compliance features, DocuSign ensured its services met the regulatory requirements of different regions, improving trust with international clients. The migration also allowed DocuSign to scale its services during periods of high demand without compromising performance.
Multi-Cloud and Hybrid Cloud Case Studies
96. Peloton (Multi-Cloud)
Peloton, known for its interactive fitness classes, uses Google Cloud for its real-time data streaming services. The platform leverages Google Cloud’s data processing capabilities to deliver live fitness content to users with minimal latency, ensuring a seamless experience for millions of simultaneous users around the world.
97. Grubhub
Grubhub moved its delivery logistics platform to AWS to optimize its food delivery operations. By using AWS’s data analysis tools, Grubhub improved its route planning for deliveries, reducing delivery times and increasing customer satisfaction. AWS’s scalability also enabled Grubhub to handle surges in orders during peak dining hours.
98. Uber
Uber, the ride-hailing giant, migrated its operations to AWS to manage the real-time processing of millions of ride requests globally. AWS’s global infrastructure allowed Uber to scale quickly in new markets, while its auto-scaling capabilities ensured that Uber could handle the large fluctuations in demand during peak times without service interruptions.
99. Nestlé
Nestlé migrated its global supply chain management systems to Azure, using Azure’s AI tools to optimize production and logistics. This move allowed Nestlé to forecast demand more accurately, reduce inventory costs, and ensure that products were delivered efficiently to retailers worldwide.
100. Shopify
Shopify adopted Google Cloud to power its global e-commerce platform. Google Cloud’s data analytics and machine learning services enabled Shopify to deliver a personalized shopping experience for customers, while the platform’s scalability allowed Shopify to handle peak shopping times, such as Black Friday, without experiencing downtime or performance issues.