Campfire's Revenue Recognition Management module automates the complete AASB 15 five step model, using AI powered contract analysis to identify performance obligations, allocate transaction prices, schedule revenue recognition, and manage contract modifications with full compliance reporting.
Eliminate revenue recognition errors and restatement risk, reduce close cycle time for revenue reporting by up to 75%, ensure continuous AASB 15 compliance, and provide leadership with accurate forward looking revenue forecasts based on real contract data.
Campfire's Revenue Recognition Management module provides a comprehensive, automated framework for managing the entire revenue recognition lifecycle from contract inception through to final revenue realisation. The platform applies the AASB 15 five step model systematically to every customer contract, using AI powered contract analysis to identify performance obligations, determine standalone selling prices, and establish appropriate revenue recognition patterns for each deliverable.
For Australian businesses navigating the complexity of bundled offerings, variable pricing, contract modifications, and performance based arrangements, Campfire eliminates the risk of manual calculation errors and ensures that revenue is recognised consistently and accurately across the entire organisation. Cynder configures the revenue recognition rules and policies during implementation to reflect your specific contract structures and industry practices.
Campfire's performance obligation engine uses AI powered contract analysis to automatically parse contract terms and identify distinct goods and services that represent separate performance obligations. The platform evaluates each promised deliverable against the AASB 15 criteria for distinctness, considering whether the customer can benefit from the good or service on its own and whether it is separately identifiable from other promises in the contract.
Once performance obligations are identified, Campfire automatically determines standalone selling prices using configurable methodologies including adjusted market assessment, expected cost plus margin, and residual approaches. For contracts with variable consideration, Campfire applies the expected value or most likely amount method as appropriate. Cynder configures the obligation identification rules and allocation methodologies to align with your specific contract structures.
Campfire's revenue scheduling engine supports both point in time and over time recognition patterns, automatically applying the appropriate method based on the characteristics of each performance obligation. For obligations satisfied over time, the platform supports multiple measurement methods including output methods based on milestones or units delivered, input methods based on costs incurred, and straight line recognition.
The scheduling engine creates detailed revenue recognition waterfall schedules that show exactly when revenue will be recognised for every performance obligation across every contract. Campfire's AI powered scheduling intelligence monitors contract progress and actual performance data, automatically adjusting recognition schedules when circumstances change. For SaaS companies, the platform automates the calculation and posting of monthly revenue entries, handling mid month starts, renewals, upgrades, and cancellations without manual intervention.
Campfire's contract modification engine automatically evaluates whether a modification should be treated as a separate contract, a prospective adjustment, or a cumulative catch up adjustment under AASB 15 guidance. The system analyses the nature of the modification, determines the appropriate accounting treatment, and recalculates affected revenue recognition schedules automatically.
The platform generates comprehensive AASB 15 disclosure reports including disaggregated revenue by category, contract balances, remaining performance obligations, and significant judgements. Campfire maintains a complete audit trail of every revenue recognition decision, providing auditors with transparent documentation of the policies applied and the calculations performed.
Campfire's revenue forecasting capability leverages detailed contract and performance obligation data to generate highly accurate forward looking revenue projections based on existing contracts, renewal probabilities, and pipeline opportunities. The platform produces revenue waterfall reports that show expected revenue recognition by period for every contract in your portfolio, giving your finance team a clear view of committed, probable, and potential revenue across multiple time horizons.
For deferred revenue management, Campfire maintains real time balances of contract liabilities and contract assets for every customer contract, automatically calculating the split between current and non current portions for balance sheet presentation. Campfire's AI powered forecasting engine analyses historical patterns to predict contract renewal rates, customer expansion revenue, and churn risk.
Campfire's Revenue Recognition Management module eliminates the risk of restatements and audit qualifications by automating the entire AASB 15 five step model, from contract analysis and obligation identification through to revenue scheduling and compliance reporting. Contact Cynder today to see how Campfire can transform your revenue recognition process and give your auditors the transparency they need.
