Data Science and AI

At Grid Dynamics, our mission is to improve the operational efficiency of our clients using state-of-the-art machine learning methods. We work with various enterprise use cases including customer intelligence, supply chain and revenue management, and risk management. In the area of advanced customer intelligence analytics, we extensively use deep learning, reinforcement learning, natural language processing methods, sentiment analysis, pattern recognition, and omnichannel marketing models. In the area of pricing and revenue management in supply chain, we focus on deep learning and reinforcement learning algorithms, econometric supply chain pricing models, combinatorial optimization, and other techniques that help to increase supply chain pricing power and improve supply chain pricing strategy. We also work with computer vision algorithms and applications, as well as natural language processing models to develop advanced information retrieval and document processing services. This part of our Insights portal presents our research, analytics, and case studies on these topics in a systematic way.