AI-Powered Demand Flexibility Transforms Utility-Customer Engagement

⚡ AI Executive Summary

Oklahoma Gas & Electric partnered with Bidgely to improve customer participation in variable peak pricing programs by using personalized messaging and AI-driven recommendations. The utility discovered that customers were shifting load at suboptimal times, and targeted guidance helped align consumer behavior with actual grid needs while reducing customer bills. This case illustrates a broader industry shift toward precision engagement in demand response. As electrification and data center growth strain grid infrastructure, utilities increasingly recognize that generic demand programs lack sophistication. Tailored customer communications powered by machine learning can transform demand flexibility from a marginal resource into a reliable, grid-supporting tool. The ability to identify high-value participants and measure their actual consumption patterns creates a feedback loop that strengthens both utility planning and customer economics—a critical capability as utilities balance rapid load growth with decarbonization goals.