According to a recent LinkedIn post from Bidgely, the company is drawing attention to persistent under-enrollment in utility affordability programs despite significant industry investment. The post suggests that the core issue is not program availability but limited visibility into which households are truly experiencing high energy burden.
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The post highlights that conventional targeting methods based on ZIP code or income brackets may overlook customers who appear ineligible on paper yet still struggle with large energy bills. It points readers to a new paper describing how utilities can use behind-the-meter data, AI, and billing analytics to more precisely identify high-need households.
From an investor perspective, the emphasis on data-driven targeting of affordability programs indicates a potential growth avenue for Bidgely’s analytics and AI offerings to utilities. If utilities adopt such tools at scale to improve program effectiveness and regulatory outcomes, Bidgely could deepen its role in customer analytics and potentially expand recurring software and services revenue.
The focus on measurable and equitable outcomes may also align with regulatory and policy trends that reward utilities for improving affordability and reducing disconnections. This positioning could strengthen Bidgely’s competitive standing in the utility technology ecosystem, particularly as utilities seek quantifiable solutions for cost-of-living and energy equity challenges.