Personalizing in-game experience using reinforcement learning

In the telecom industry, retaining customers is a survival strategy. Rising competition, customer dissatisfaction, and delayed churn detection often leave providers reacting too late. A global telecom giant partnered with Grid Dynamics to modernize its AI churn prevention system, transforming m...

In a dynamic world where advertising success depends on data-driven decisions, the partnership between Yieldmo, a digital advertising platform, and Grid Dynamics has birthed a groundbreaking solution–a scalable, configuration-driven Machine Learning Platform. This innovative platform addresses...

MLOps and DataOps principles, such as infrastructure-as-a-code management, continuous integration and continuous delivery, proper monitoring, and a standard approach to working with data assets, are essential components of a modern data estate. In this case study, we show how we helped a global...

With a new AWS-based solution, Grid Dynamics significantly improved the performance of this top tier agency's advertising efforts which allowed them to enhance their business. Publishers were able to manage the cost of their ads space by defining a more specific audience which would later be sold b...

To optimize promotions across various channels and countries, a video game publisher encountered challenges in accurately forecasting demand 24 months ahead and effectively managing new game releases. Grid Dynamics addressed these issues by developing robust demand forecasting models and what-if an...

See how a leading omnichannel sleep retailer used an AI retail search assistant to make online discovery feel as guided as an in-store consultation. In this case study, you’ll learn how Grid Dynamics designed a triage-first discovery platform that blends fast facet search with a conversational shop...

Delivering customer service at the speed of today’s expectations is not optional anymore. See how a leading automotive retailer restructured its e-commerce search and customer support by implementing a conversational AI agent on WhatsApp and achieved response times as fast as 3 seconds, enablin...