List of Google Cloud AutoML Customers
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Since 2010, our global team of researchers has been studying Google Cloud AutoML customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Google Cloud AutoML for ML and Data Science Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Google Cloud AutoML for ML and Data Science Platforms include: Chevron Corporation, a United States based Oil, Gas and Chemicals organisation with 45298 employees and revenues of $193.41 billion, Home Depot, a United States based Retail organisation with 470000 employees and revenues of $159.51 billion, Carrefour Spain, a Spain based Retail organisation with 58500 employees and revenues of $14.00 billion, The Daily Telegraph, a United Kingdom based Media organisation with 1047 employees and revenues of $305.0 million, Layer 6, a Canada based Professional Services organisation with 100 employees and revenues of $30.0 million and many others.
Contact us if you need a completed and verified list of companies using Google Cloud AutoML, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the Machine Learning software purchases.
The Google Cloud AutoML customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of Machine Learning software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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California Design Den | Retail | 250 | $25M | United States | Google Cloud AutoML | ML and Data Science Platforms | 2016 | Pluto7 |
In 2016 California Design Den implemented Google Cloud AutoML as the core machine learning component in a Planning In A Box deployment, aligning the retailer with ML and Data Science Platforms capabilities. The implementation was driven by a partnership with Pluto7 and the vendor solution Planning In A Box, both delivered on Google Cloud Platform to apply machine learning and artificial intelligence to demand prediction and supply balancing.
The deployment centered on demand forecasting and supply balancing workflows, with Google Cloud AutoML used for model training, automated model selection, and inference orchestration. Configuration work emphasized time series forecasting and feature engineering pipelines typical of ML and Data Science Platforms, and the Planning In A Box SaaS surface was configured to present forecast outputs to planning users.
Pluto7 led implementation and operationalization, embedding model scoring into merchandising and planning routines and establishing scheduled model retraining and data pipeline cadence. The architecture combined Planning In A Box SaaS orchestration with Google Cloud AutoML model lifecycle management to produce repeatable forecast runs and to feed planning workflows.
Operational scope focused on merchandising and supply chain planning functions within California Design Den, with governance centered on operationalizing forecasts into existing planning cycles and defining ownership for model updates and data quality. The narrative reflects an enterprise SaaS on Google Cloud Platform using Google Cloud AutoML, implemented in 2016 by Pluto7 to support demand prediction and supply balancing at the retailer.
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Carrefour Spain | Retail | 58500 | $14.0B | Spain | Google Cloud AutoML | ML and Data Science Platforms | 2019 | n/a |
In 2019, Carrefour Spain implemented Google Cloud AutoML as its chosen ML and Data Science Platforms capability to accelerate machine learning model development on Google Cloud. Google Cloud AutoML was used to introduce automated model training, feature engineering workflows, model evaluation and managed model serving, aligning platform-level ML functions with the retailer's analytic objectives.
The implementation emphasized model lifecycle automation and reproducible pipelines, with AutoML configured to handle data ingestion, preprocessing, automated hyperparameter selection and deployment into managed inference endpoints. Configuration focused on integration with Google Cloud storage and data processing services to support iterative training and validation, consistent with standard ML and Data Science Platforms operational patterns.
This work occurred alongside broader Google Cloud initiatives that included a SAP HANA production deployment by Carrefour Spain and the use of Google Cloud migration capabilities such as Migrate for Compute Engine. The deployment leveraged Google Cloud’s Cloud Acceleration Program for guidance, migration templates and financial incentives, positioning AutoML implementation within a coordinated cloud adoption program.
Governance practices centered on centralized model promotion controls and alignment with existing cloud migration workflows, incorporating change management and platform-level access controls to manage model provenance and production deployments. The narrative aligned ML operations with enterprise analytics needs and with Google Cloud tooling that had proven effective for SAP customers, who reported reduced staff time for SAP migrations under the same acceleration program.
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Chevron Corporation | Oil, Gas and Chemicals | 45298 | $193.4B | United States | Google Cloud AutoML | ML and Data Science Platforms | 2016 | n/a |
In 2016 Chevron Corporation adopted Google Cloud AutoML as an ML and Data Science Platforms solution to support image analytics and visual search workloads. Google reported that there were 14,000 customers paying to use Google AI services and more than 19,000 customers actively using Google Cloud AutoML, and Chevron Corporation is cited among those users.
Chevron implemented the vision capabilities of Google Cloud AutoML to visually search a massive trove of images stored in thousands of distributed documents, a use case described by research analyst Laura Bandura. The implementation leveraged Cloud AutoML vision model workflows, including automated model training and tuning, inference serving for image classification and similarity search, and the creation of visual indexes to enable queryable image discovery across large unstructured image sets.
The deployment was integrated with Chevron’s distributed document repositories and large image stores to surface visual results across document boundaries, and it was operated by research and analytics teams to support exploratory image analysis. Governance and operational changes focused on image ingestion and labeling pipelines to feed AutoML training, and on controlled access to the visual index for research functions.
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Retail | 470000 | $159.5B | United States | Google Cloud AutoML | ML and Data Science Platforms | 2017 | n/a |
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Professional Services | 100 | $30M | Canada | Google Cloud AutoML | ML and Data Science Platforms | 2023 | n/a |
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Media | 1047 | $305M | United Kingdom | Google Cloud AutoML | ML and Data Science Platforms | 2018 | n/a |
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Buyer Intent: Companies Evaluating Google Cloud AutoML
- Sohu.com Limited, a China based Professional Services organization with 4900 Employees
- Ministry of Communications and Information Technology, a Saudi Arabia based Government company with 1700 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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