AI & ML for Enterprise Companies

Turn customer data into a revenue with machine learning models for churn prediction, Next Best Offer, scoring, and more

+7% revenue uplift

up to 10% reduction in churn

3 months to go live

Why Most ML Models Never Generate Business Value

Telecom operators and banks invest heavily in analytical models, yet only about 32% reach production. Most never move beyond the pilot phase. A successful pilot proves that a model performs well on historical data, but business impact comes only when it is embedded into day to day operations.

Making that happen requires a cross functional team with strong industry expertise. That’s exactly what Eastwind delivers.

Creating a 360° Customer View

We consolidate data from siloed systems into a centralized feature store, creating a comprehensive customer profile that captures interests, social connections, and other valuable attributes.

Developing Custom ML Models

Our models are built specifically for your data and deployed within your existing infrastructure, delivering sustainable improvements in campaign conversion, ARPU, and incremental revenue.

Deploying ML Models to Production

We move models from experimentation to production so they create measurable business value. By selecting the Next Best Offer (NBO) and Next Best Time (NBT), we improve campaign performance and revenue, while churn prediction helps focus retention efforts where they matter most.

Managing Risk with Data

We build data driven scoring and fraud detection models that improve credit risk assessment, uncover abuse patterns, and help protect revenue.

Who Benefits from AI & ML Implementation

Telecom Operators

Machine learning models help telecom operators reduce churn by identifying at risk subscribers and delivering personalized offers at the optimal moment. With subscriber profiles built from more than 700 attributes, operators can improve retention while increasing cross sell and up sell revenue.

Banks and Financial Institutions

AI and ML help financial institutions improve both risk management and business performance. Credit scoring models enhance lending decisions, fraud detection uncovers suspicious behavior, and customer analytics predicts churn while enabling highly personalized offers.

10+ Years in Data

Our proven track record includes delivering 360° customer profiles, behavioral analytics, churn prediction, credit scoring and Next Best Offer (NBO) models, feature stores, fraud detection solutions, and other advanced analytics initiatives.

Full Data Lifecycle Management

We configure and support all ETL processes tailored to your business needs: data collection from multiple sources, processing, storage, and export to external systems.

Infrastructure Integration

Deploy AI & ML within your environment using platforms like Hadoop, ClickHouse, Greenplum, and others.

Any Data Types

We enable analysis of structured, unstructured, and semi-structured data to ensure maximum calculation accuracy.

Model Lifecycles Beyond One Year

Our proprietary AutoML technology continuously retrains models to maintain their performance over time. This enables them to stay effective up to three times longer than traditional models while generating 2 to 3 times more revenue.

Turning ML Projects
into Business Results

Learn how Eastwind helps transform ML initiatives into measurable revenue growth

Get the e-book

Telecom Operator in Kazakhstan $1M

in internal losses were detected and prevented using AI & ML

Bank in the CIS 80%

churn prediction accuracy: 80% of customers were correctly segmented into those likely and unlikely to leave

Kcell, a Telecom Operator in Kazakhstan 7.3%

revenue uplift in the first month after deploying a Next Best Time model

1

Business and Data Assessment
2

ETL and Data Platform Design
3

Building Data Marts and a Feature Store
4

Developing and Training ML Models
5

Continuous Model Optimization with AutoML
6

Production Deployment and Business Validation

Business and Data Assessment

We align on business goals and KPIs, identify available data sources, evaluate data quality and coverage, and define project risks and constraints.

ETL and Data Platform Design

We build the data lake and lakehouse architecture, establish reliable ETL pipelines, and unify data from disparate systems into a trusted foundation for analytics.

Building Data Marts and a Feature Store

We create reusable features and assemble a unified customer profile with more than 700 attributes that can be shared across multiple machine learning models.

Developing and Training ML Models

We develop models for priority business scenarios, including churn prediction, Next Best Offer, and cross sell and up sell, optimizing them for production level accuracy.

Continuous Model Optimization with AutoML

Our AutoML technology continuously retrains models as new data becomes available, extending their effective lifespan from the typical 3–4 months to a year or more.

Production Deployment and Business Validation

We integrate models into business processes and measure their real world impact through target and control group analysis, refining model performance whenever needed.

Trusted
by Our Customers

Our goal for this predictive ML project was to deliver real business impact fast. The results with Eastwind exceeded expectations: in just one month, we launched five ML models in production, achieved a +7.3% revenue uplift, and reduced churn by 10.4%.

Askar Duyshenaliev
Director of Data Monetization at Kcell

I see a fundamental shift in how we manage customer value after partnering with Eastwind. Previously, we only engaged with subscribers when they came to our offices intending to cancel their service—by then, it was often too late to retain them. Now, we proactively retain 30% of such customers using churn prediction models.