SoftServe powers 3 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 2 countries. Documented deployments include AI agents, copilots.
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Use Cases
3
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2
Countries
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Agent Cases
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Hyperscaler mix
Filter SoftServe's implementations by cloud provider evidence.
How SoftServe builds AIBuild, Buy & Compose — what they mean
Microsoft has transformed its supply chain by consolidating over 30 systems into a single data lake on Azure enabling AI-driven autonomous workflows. Over 25 AI agents handle tasks such as demand planning, spare-part space optimization, transport optimization, and invoice analysis. The system integrates simulations, digital twins, and AI-powered robotics to optimize warehouse and logistics operations.The platform uses technologies including Azure Machine Learning, Microsoft Fabric, Azure IoT Operations, Microsoft 365 Copilot, Microsoft Foundry, NVIDIA Isaac Sim, Azure Kubernetes Services, Microsoft Power Automate, and Celonis Process Intelligence Graph. It hosts AI agents able to reason, plan, and act, improving operational KPIs and saving hundreds of work hours monthly across Microsoft and partner warehouses.Physical AI robotics like humanoid robots are deployed for warehouse tasks and last-mile deliveries enhancing operational agility. Partners such as SoftServe and Celonis have implemented agentic AI and digital twin solutions, achieving significant productivity gains in pharmaceutical logistics and warehouse automation.
Krones, a leading provider of packaging and bottling systems, partnered with Synopsys to deploy a cutting-edge digital twin framework leveraging Microsoft Azure and NVIDIA Omniverse. Traditional fluid simulation in manufacturing took several hours per run, limiting real-time process optimization and scenario testing. By implementing a GPU-accelerated, cloud-native simulation environment hosted on Azure, Krones reduced simulation runtimes from hours to under 5 minutes.The system integrates Ansys Fluent physics, Omniverse libraries, and Azure AI, resulting in a virtually realized factory floor for real-time scenario comparison and adjustment. Enhanced collaboration is enabled across engineering, operations, and R&D teams, thanks to seamless concurrency and data-driven decision-making capabilities.CADFEM Germany GmbH customized solver settings for Krones’ needs and SoftServe provided system integration for the full deployment on Azure cloud infrastructure.The technical architecture enables scalable digital twins across industries, making sophisticated simulations accessible, which significantly reduces waste, increases resource efficiency, and speeds up product development cycles.Collaboration between Synopsys, NVIDIA, and Microsoft demonstrates how digital transformation can deliver practical, rapid agility to manufacturing operations, ultimately raising productivity to new industry standards.
A leading industrial and manufacturing technology firm launched the Gen AI Industrial Assistant, fully deployed on Microsoft Azure and accelerated by NVIDIA AI Blueprints. The solution was designed to optimize manufacturing operational efficiency by providing workers real-time guidance for equipment operation, maintenance, and troubleshooting. The system integrates Azure Cognitive Search, Azure Time Series Insights, and Azure AI Document Intelligence, giving users immediate access to crucial manuals and analytics. With features like voice interaction, multilingual support, performance forecasting, and customizable UI, the solution streamlines operations, transforms onboarding, and helps reduce defects. Results included a 10% improvement in overall equipment effectiveness, a 50% reduction in onboarding time, a 56% decrease in equipment defects, and an 83% reduction in information search time. By leveraging advanced AI and cloud technologies, the company boosted productivity and gained a significant competitive edge in industrial automation.