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Duquesne Light, Blastpoint to Prioritize Customer Outreach

Oct. 8, 2020
BlastPoint, the predictive A.I. powered platform that generates answers to customer engagement problems, are working with Duquesne Light Co.

BlastPoint, the predictive A.I. powered platform that generates answers to customer engagement problems, are working with Duquesne Light Co.

DLC uses Blastpoint software to conduct customer data analysis to determine who they should proactively reach out to during these turbulent times.

Marie Tamilia, General Manager of Credit & Collections at Pittsburgh-based Duquesne Light Company, sees firsthand the number of electricity customers whose late bills have piled up since COVID-19 hit the region.

Watching the numbers of at-risk households tick upward, she wants more people to know about the financial support that is available to help them. “It’s hard to distinguish between which customers can pay and which cannot,” says Tamilia. “For customers that aren’t paying anything, an extended moratorium is going to hurt them more than help.”

DLC has been working to analyze its customer payment patterns so they can better understand which households are exhibiting financial stress, and how severely. With this knowledge, Tamilia’s team is able to steer customers in need to the appropriate resources that will keep them out of delinquency and safe from a future shut-off.

“The goal is never to shut someone’s power off,” Tamilia says. “For those that need help, we offer payment arrangements and guide them to agencies where they can find assistance.”

Alison Alvarez, CEO of Blastpoint, comments, “BlastPoint’s analysis of late customer payments throughout the pandemic shows that the more money a customer owes (or the more months that go by where no payment is made), the harder it will be for that customer to recover financially. On the other hand, if they can continue to make some payments to keep their overdue balances under about $300, they’re more likely to survive pandemic-related financial setbacks. However, once a customer’s balance tops $1K, our data indicates they will be less likely to pay anything at all.”

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