About 50,800 couplings in October, likely 46,900 to 54,700.
History rows show actual demand. Forecast rows show the expected value and the low and high ends of the range 8 in 10 outcomes should fall inside.
Lay out the plan on your own data, forecast demand from your history, and test a pricing response against a baseline before you commit.
The FY27 plan is $48.0M at a 31.2% margin. A strategy board splits it by region, then Central by customer, so you can see where a cost rise on fittings would land.
The $48.0M plan by region, with Central's $19.2M by customer. The board follows Revomo's strategy board in its vertical layout; the data is illustrative.
A demand forecast for each fittings product shows expected units for the coming months and a likely range, built from your own history.
History rows show actual demand. Forecast rows show the expected value and the low and high ends of the range 8 in 10 outcomes should fall inside.
Each run scores several methods on past periods and keeps the best. Compare two versions before you switch.
Version v4: what the run used
| Method | WAPE | Used | Weight / note |
|---|---|---|---|
| Seasonal smoothing | 10.8% | No | |
| Seasonal ARIMA | 9.1% | No | |
| Prophet | 11.6% | No | |
| Gradient boosting, per series | 7.9% | Yes | |
| Pooled Gradient Boosting (all series) | 8.6% | No |
The decision model at the top of the page compares three cases for fittings: the baseline, a 12% resin cost rise, and the same rise with a 4% price increase. Here are the cases behind it, and how wide the outcome could be.
A scenario starts as a copy of the baseline inputs. Here one raises unit cost by formula, and the other raises it and sets a 4% price change.
Scenarios are named what-if cases that override input defaults.
| Scenario | Assignments | Trials |
|---|---|---|
| Base Baseline | Uses input defaults | 100 |
| Resin cost +12% Scenario | Unit cost: formula | 100 |
| Resin +12%, price +4% Scenario | Price change: 0.04, Unit cost: formula | 100 |
Give an uncertain input a range and each scenario runs many trials. With the increase, March margin lands between about $285K and $349K in 90% of them.
Resin +12%, price +4% · 100 trials. The shaded band spans the 5th–95th percentiles; the line shows the median.
Group revenue, cost and margin from the same data the board reads. Q3 2026 came in at $12.00M of revenue and a 31.2% margin, the pace the FY27 plan needs.
Drag columns into row groups, choose a sum or average for each measure, and expand Central to see the customers beneath it.
What Planning & Forecasting gives you, what every subscription adds, and what to add later.
Solutions it supports: Revenue & Margin Planning, Price Increase Management, Cost, Tariff & Freight Recovery.
Sales history by period, with product, customer and quantity, plus price and cost if you want revenue and margin. Load it as files or connect a supported source in Data & Context Studio. Which plans, forecasts and scenarios to build first is agreed in the Activation and Success Plan.
A demand forecast model tries several methods on each series, including seasonal smoothing, ARIMA, Prophet and gradient boosting, tests each on past periods and keeps the best. Accuracy is shown as weighted error (WAPE) and scaled error (MASE), where lower is better, and each forecast carries a range that 8 in 10 outcomes should fall inside.
When you run them. A forecast model runs on demand or, if you switch it on, when its source data refreshes. A decision model recalculates when you calculate it, and shows when its results need a new calculation. Neither is a live stream.
Yes, as scenarios you name. Every decision model has one baseline; any other case, such as a price increase, a cost rise or a tariff, is a scenario that overrides some of its inputs. Results show each scenario against the baseline, and inputs can carry a range so each scenario runs many trials.
By building it. Revomo has no separate budget object: load the budget as a dataset, join it to actuals or forecasts in a view, and add a formula column for the difference. Reports and dashboards then group and filter it like any other data.
Not automatically. Money columns carry a currency, and a view can stack several entities’ data and total it, but Revomo does not convert currencies or eliminate inter-company sales on its own. To report in one currency, keep an exchange rate dataset and add a formula column that looks up the rate.
Planning & Forecasting covers boards, demand forecasts and decision models. Dashboards and AI insights are Analytics & Insights, elasticity and other models are Predictive Modeling, recommended prices within constraints are Decision Optimization, and changing, approving and publishing prices is Price Management. Data, automations and Copilot come with every subscription.
A Revomo expert replies within one business day to set up the session. In it we walk through these screens on sample data and talk through the plans and scenarios you run today.
Walk through a decision model and a demand forecast with a Revomo expert, on sample data.