Nussknacker has been deployed in various companies and domains

As a showcase, we present here three deployments that demonstrate the power of the solution in the case of the telecom company PLAY (part of the Iliad Group)

Real Time Marketing System

→ Transformed batch-based marketing campaigns into real-time interactions
→ Eliminated multiple-day delays in campaign execution
→ Addressed the challenge of managing complex business rules and campaign logic

Real Time Fraud Detection

→ Eliminated the delay in fraud detection from batch processing
→ Addressed complex SIM card fraud schemes that were hard to detect
→ Solved the challenge of managing complex detection rules

ML inference in Credit Scoring

→ Seamless integration of complex ML models
→ Reduced time-to-market for new features
→ Faster implementation of business rule changes
→ Domain experts can directly manage workflows

ML models inference in fraud detection

How to simplify the integration of ML models into business applications, automate many of the technical complexities, and support advanced techniques like A/B testing and ensemble models. A fraud detection example

Blogpost

Next Best Action recommendation management simplified

Business scenarios can become increasingly complex, causing many problems for users and administrators. Read how we tackle the problem in the Request Response processing example

Blogpost

Real-Time Recommendations Using Machine Learning

Nussknacker simplifies the integration of machine learning models into streaming data processes. Software teams can now build intelligent recommendation systems using Nussknacker, Snowplow, and MLflow.

 Blogpost

Internet of Things

Nussknacker effortlessly integrates with Apache Kafka, including Kafka's Schema Registry. We illustrate these concepts through an Internet of Things example, showcasing the real-world application of Kafka integration with Nussknacker.

Demo | Blogpost