Australian energy retailer enhances revenue assurance with Infoveave’s unified data platform

A leading Australian retail energy provider serving 700,000+ accounts faced billing errors and revenue leakage from inaccurate pre-bill checks on fragmented data — including double billing, unbilled customers, multi-linked records, and volume mismatches. Infoveave ran pre-bill revenue assurance on its Unified Data Platform: automated rules flagged critical anomalies before invoices went out, CRM routed agent follow-up, RPA handled high-frequency fixes, and dashboards tracked recurrence, resolution, and revenue impact. Manual reconciliation and exception handling fell by 50%.

At a glance:

Industry: Energy, Retail
Platform focus: Unified Data Platform
Proof type: Pre-bill revenue assurance across 700K+ accounts

50%

Reduction in manual reconciliation and exception handling

700K+

Accounts brought into a governed pre-bill revenue-assurance framework

Pre-bill

Anomalies caught before invoices were issued, improving accuracy and timeliness

In this story:

Client Overview
The Challenge
The Solution
Results

Client Overview

This success story covers a leading Australian retail energy provider that supplies electricity and gas to households and small businesses across more than 700,000 accounts. Accurate bills are the commercial contract with every customer: a wrong invoice leaks revenue, creates disputes, and burns operations time.

The retailer already had billing, CRM, and related operational systems in production. What it lacked was a governed pre-bill layer that could see those systems together, apply the same rules every cycle, and stop leakage before a bill was issued.

The Challenge

Pre-bill revenue assurance failed because checks ran on fragmented billing data rather than one governed view of the account. Inaccurate pre-bill checks left four risks open at once: double billing, unbilled customers, multi-linked records, and volume mismatches.

Those defects did not stay in the data warehouse. They became wrong invoices, unbilled supply, and exception queues that analysts cleared by hand after the fact. Manual reconciliation grew with every cycle. Revenue leaked in both directions — overbilled customers who churned or disputed, and underbilled or unbilled accounts that never hit the ledger.

The operations team needed rules that fired before the invoice, a path to the agent who owned the account, and a way to fix the repeatable cases without another spreadsheet.

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The Solution

Infoveave implemented pre-bill revenue assurance on the Unified Data Platform, consolidating fragmented billing and CRM data so every rule ran against the same account record.

Automated rules identified critical billing anomalies — double billing, unbilled customers, multi-linked records, and volume mismatches — before they affected revenue. When a rule fired, Infoveave opened a CRM case with the account context agents needed for follow-up. High-frequency, repeatable corrections ran through RPA so the same fix was not reworked by hand. Systemic defects were sent back to the source system so the next cycle did not recreate the exception.

Interactive dashboards gave operations and finance a shared view of recurring issues, resolution progress, and revenue impact. The queue replaced ad-hoc reconciliation: agents worked CRM cases, automation cleared the high-volume repeats, and source teams closed the pattern that caused them.

Results

With pre-bill controls on Infoveave, the retailer improved billing accuracy and timeliness because exceptions were handled before invoices reached customers. Manual reconciliation and exception handling fell by 50% as rules, CRM routing, and RPA replaced after-the-fact spreadsheet work.

700,000+ accounts were brought into a governed revenue-assurance framework that prevents leakage before bills are issued. Recurring defects, resolution progress, and revenue impact sit on the same dashboards, so commercial and operations teams share one queue rather than competing extracts.

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About the Authors

Infoveave Product Team is a member of 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 processes, and act faster with AI-powered insights.

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