List of B2ML Studio Auto-ML Customers
İstanbul, 34880,
Turkey
Since 2010, our global team of researchers has been studying B2ML Studio Auto-ML 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 B2ML Studio Auto-ML 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 B2ML Studio Auto-ML for ML and Data Science Platforms include: Turk Telekom, a Turkey based Communications organisation with 33224 employees and revenues of $3.39 billion, Avis Greece, a Greece based Transportation organisation with 514 employees and revenues of $425.0 million, Banka Kombetare Tregtare, a Albania based Banking and Financial Services organisation with 1534 employees and revenues of $180.0 million and many others.
Contact us if you need a completed and verified list of companies using B2ML Studio Auto-ML, 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 software purchases.
The B2ML Studio Auto-ML 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 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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Avis Greece | Transportation | 514 | $425M | Greece | B2Metric | B2ML Studio Auto-ML | ML and Data Science Platforms | 2023 | n/a |
In 2023 Avis Greece deployed B2ML Studio Auto-ML, adopting a ML and Data Science Platforms application to support fleet renewal pricing, anomaly detection of reseller listings, and used-car price forecasting. B2Metric provided a Car Market Module and AutoML models that were implemented as the core analytics components for these use cases.
The implementation centered on the Car Market Module configured to ingest market signals and listing attributes, while B2ML Studio Auto-ML handled automated model training, feature engineering, and scoring for time series price forecasting and anomaly detection workflows. Models were operationalized to produce continuous price recommendations and anomaly alerts, and model retraining pipelines were established to refresh forecasts with new data.
Operational coverage focused on fleet renewal decisioning, resale and remarketing operations, and commercial pricing teams, with scored outputs routed into pricing workflows and listing surveillance processes. The deployment used typical ML and Data Science Platforms capabilities for batch scoring, scheduled retraining, and alerting to support day to day pricing and monitoring activities.
Governance and operational controls included model validation and production monitoring conventions to ensure forecast stability and anomaly signal fidelity, along with workflow changes to incorporate model outputs into trading and resale approvals. Ownership of model outputs was assigned to pricing and remarketing functions to formalize decision handoffs.
The engagement delivered improved pricing accuracy and reported outcomes including an 18% uplift in used-car revenue and approximately 50% operational efficiency gains in the affected processes, confirming the role of B2ML Studio Auto-ML within Avis Greece pricing and remarketing operations under the ML and Data Science Platforms category.
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Banka Kombetare Tregtare | Banking and Financial Services | 1534 | $180M | Albania | B2Metric | B2ML Studio Auto-ML | ML and Data Science Platforms | 2023 | n/a |
In 2023, Banka Kombetare Tregtare implemented B2ML Studio Auto-ML to embed AutoML-driven customer journey analytics across marketing and credit functions. The deployment used B2ML Studio Auto-ML in the ML and Data Science Platforms category to operationalize predictive models for churn reduction, micro-segmentation, and loan/NPL scoring at the Albanian retail bank.
Implementation centered on automated model pipelines within B2ML Studio Auto-ML, emphasizing automated feature engineering, model selection, and production scoring workflows. Functional modules referenced in the engagement included churn prediction models, micro-segmentation capabilities for targeted marketing, and predictive loan and non-performing loan scoring models delivered as production scoring services.
Operational coverage targeted the bank's marketing and credit risk teams, with customer journey analytics informing campaign targeting and credit decisioning processes. Governance practices described included model validation and monitoring processes to manage model lifecycle and to maintain predictive performance within business workflows.
Reported outcomes from the B2Metric case study include a 27% reduction in churn and more accurate loan and NPL scoring following the B2ML Studio Auto-ML deployment. The work highlights Banka Kombetare Tregtare B2ML Studio Auto-ML ML and Data Science Platforms alignment with customer lifecycle management and credit risk scoring business functions.
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Turk Telekom | Communications | 33224 | $3.4B | Turkey | B2Metric | B2ML Studio Auto-ML | ML and Data Science Platforms | 2023 | n/a |
In 2023, Turk Telekom deployed B2ML Studio Auto-ML to run AutoML-based customer journey analytics and campaign optimization, using ML and Data Science Platforms capabilities to support its marketing and CRM teams in Turkey. The engagement centered on applying automated model selection and uplift modeling workflows to prioritize offers and treatments across customer segments.
B2ML Studio Auto-ML implementation included AutoML pipelines for feature engineering, model training, and model scoring, with inferred use of uplift models to estimate incremental campaign impact and guide targeting decisions. Configuration emphasized reusable scoring pipelines and model retraining orchestration to keep campaign models aligned with evolving customer behavior, consistent with standard ML and Data Science Platforms practices.
Operational coverage was focused on Turk Telekom marketing and CRM functions, integrating model outputs into campaign planning and execution workflows for customer acquisition and retention. Governance included model validation and campaign orchestration processes to support controlled rollout of model-driven treatments. The deployment produced a reported 60% increase in campaign efficiency, a 4x improvement in campaign return, and approximately 20% average revenue uplift as stated in the case study.
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