The energy sector is evolving. From a highly traditional environment to a technology-driven, modern marketplace, embracing artificial intelligence (AI) solutions in a quest to continuously improve customer experience and services.
Advances in predictive analytics, AI and data science mean you can streamline your billing functions, automate error-prone processes and accurately forecast revenues at the same time as transforming your relationship with customers and/or brokers. These are enablers on your journey from commodity seller to customer centric service leader.
There are many interesting use cases for AI in utilities but in this brief overview we focus on how AI can enhance your billing performance.
What determines your billing performance?
The billing performance process is influenced by 5 factors:
How can AI improve your billing performance?
On the one hand, with the proliferation of smart meters, electricity usage is increasingly recorded in real-time. On the other hand, the energy market has become increasingly complex with multiple generation sources. Industrial and Commercial (I&C) customers are becoming Prosumers (think about solar & wind energy, and batteries), and they might sell some of their energy back to the grid (reverse billing). Their bill needs to reflect that. I&C customers also require billing across multiple sites and potentially multiple currencies. . The result is more data points than ever thus bringing new opportunities to improve your billing performance.
The value of AI-powered technology for enhancing billing performance lies in accurately forecasting the outcome of a bill before it has even been created by leveraging historical data points and customer behavior.
More specifically:
During every billing cycle more and more data points will be available that will feed the AI-powered technology to ensure even more accurate results in the future.
All data insights captured during the customer life cycle will be used to create a strong customer profile. AI-powered technology will use these customer profiles to ensure maximum added value for your end customer and minimize your cost-to-serve by anticipating your customer’s needs.
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