Case Study: Global Industrial Technology Company achieves AI-powered fuel-loss prevention, 650%+ projected ROI and $250M new revenue opportunities with Grid Dynamics

Loss prevention with AI-powered IoT analytics platform on AWS

Global Industrial Technology Company, a global S&P 500 industrial technology company focused on smarter transportation and mobility, faced costly losses and slow, manual analytics across its fuel distribution network. To automate advanced variance analysis and detect leaks, theft, meter and dispenser issues from thousands of IoT signals, the company engaged Grid Dynamics (with Amazon Web Services) to accelerate a cloud-native, AI-driven solution.

Grid Dynamics deployed its Analytical Data Platform accelerator on AWS and implemented Industry 4.0 AI/ML anomaly-detection models and MLOps practices, provisioning the platform in one week and moving from batch to streaming analytics. The solution delivered measurable impact: projected ROI exceeding 650% (3 years), $250M in new addressable revenue, 8× analyst productivity, a 14% accuracy increase, and 30× faster issue detection (days to hours).