A leading Australian energy retailer supplying over 700,000 accounts needed to meet stringent Deemed Best Offer regulatory requirements — but fragmented data across billing, usage, and plan systems made accurate pricing simulations impossible. Infoveave unified all data sources, extracted 365 days of consumption history from invoice payloads, and built automated pricing simulation engines, giving the retailer real-time insight into offer performance and cutting new offer launch times by over 50%.
In the competitive Australian energy market, a leading retail energy provider has supplied electricity and gas to over 700,000 accounts. They faced significant challenges in offering the best pricing to their customers. Mandated by the regulated bodies to provide optimal pricing, the company struggled with fragmented data, making analysis and accurate pricing offers difficult.
The energy provider’s data was dispersed across multiple systems. Accessing and analyzing historical usage, plan changes, and rate variations for over 700,000 accounts across different fuel types and jurisdictions required significant data processing effort.
Accurate and precise calculations were necessary to meet regulatory requirements. Ensuring compliance while managing vast amounts of data posed a considerable challenge, demanding an efficient and reliable solution.
The turnaround time to complete the project was critical to meet the deadlines given by the authorities to launch the ‘Deemed Best Offer’.
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Book a DemoThe data coming from customer accounts, billing, meter read etc was integrated into Infoveave using connectors. When the project began, the company did not have access to the past 365 days of their customers’ consumption data. Infoveave’s team came up with the idea to extract this data from invoice payloads available at the printhouse. Infoveave’s custom file parser was helpful to convert the unstructured data of these bills to structured data. It extracted key information such as consumption, current offers, and concessions.
Simulations were built to explore various pricing scenarios to recommend the best offers for customers. It considered parameters like current pricing plans, consumption data of the last 365 days, concessions, subsidies, and rebates to provide personalized best offers for each consumer. FuseData automated the regular extraction and parsing of invoice data, triggering the What-If Analysis upon completion.
Actionable dashboards provided deep insights into consumption, top 5 offers customer data, highlighting those on optimal offers and those who were not, thereby enabled better decision-making.
The objective was to streamline data extraction, run precise pricing simulations, and produce detailed reports, thus improving operational efficiency and ensuring regulatory compliance.
The platform enabled simulations for new rates and offers, optimizing gross margins before launch, thus improving financial control.
The new offer launch times were reduced by over 50%, significantly increasing operational efficiency.
By identifying and rectifying issues with invoice data, the platform reduced inbound calls and customer queries about incorrect or missing information, leading to cost savings.
Automated scheduling of internal and regulatory reports ensured compliance and accuracy, enhancing governance.
Infoveave provided additional support to other business systems, such as the website and call center support, ensuring a cohesive operational ecosystem.
By deploying Infoveave’s unified data platform, this Australian energy retailer overcame fragmented data silos to deliver accurate, compliant Deemed Best Offer pricing across 700,000+ accounts. Custom invoice parsers extracted 365 days of consumption history, automated simulations identified the optimal offer for every customer segment, and data automation pipelines ensured ongoing accuracy and governance. New offer launch times fell by more than 50%, customer queries dropped, and regulatory compliance was maintained throughout.
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This article was produced by the Infoveave Product and Solutions Team — specialists in Unified data platforms, agentic BI, and enterprise analytics. Infoveave (by Noesys Software) helps organizations unify data, automate business process, and act faster with AI-powered insights.