Service Desk

AI & ML for Enterprise Companies

We turn customer data into a revenue source and optimize business processes using AI & ML.

360° Customer Profile

Analyze interests, social graphs, and other unique customer attributes to build comprehensive profiles and deliver highly personalized offers.

Next Best Offer (NBO)

Maximize campaign conversion rates by identifying the best offer for each customer using machine learning and behavioral analysis.

Churn Prediction

Identify customers likely to leave for a competitor and take timely action to retain them.

Machine Learning Model Deployment

Apply AI and analytical models across a wide range of use cases: credit scoring, risk management, fraud detection, and more.

10 Years in Data

A wide range of AI adoptions: 360° profiling, behavioral analysis, churn and scoring models, NBO, feature store development, fraud detection, and more.

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.

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

Telecom Operator in Kazakhstan $2.28M

in revenue from cross-sell and up-sell mechanics in the first year of full ML model deployment

1

Requirement Alignment
2

ETL Process Setup
3

ML Model Launch
4

Model Performance Evaluation and Optimization

Requirement Alignment

We start with a detailed analysis of the client's data processing needs. We identify data sources, assess quality and volume, and define the optimal data setup to integrate AI into business.

ETL Process Setup

We integrate with data sources and adapt transformations to the client’s environment. We configure data collection and processing for the CVM system to ensure accuracy and scalability.

ML Model Launch

We create data marts and develop models to calculate over 700 parameters for each customer profile, enabling precise targeting.

Model Performance Evaluation and Optimization

We test all calculations on real data and fine-tune ETL pipelines for optimal performance.

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.