Case Study: New Relic chose Aviso for forecasting consumption-based revenue
Key results
The challenge
New Relic's business is primarily driven by consumption, making revenue difficult to predict across a pricing structure that spanned 12 individual SKUs. The company needed to apply AI/ML to data in its existing data warehouse and return forecasts without re-platforming.
The solution
New Relic pushed data from its existing data warehouse into Aviso, applied Aviso's AI/ML out of the box, and returned the enriched forecasts. The approach integrated consumption forecasting at the account level for revenue, prices, and quantities alongside traditional pipeline forecasting.
“Aviso was the only company that we could push the data into Aviso from our existing data warehouse and apply the AI ML out the box, and then return the data back.”
TNTed NobleGTM Strategy and Operations, New Relic
The results, in context
New Relic documented 99+% ACR accuracy in forecasting consumption for the last quarter, supporting revenue realization for its usage-based business. The engagement accompanied a move from 12 individual SKUs toward a single platform pricing model.