Use cases
Forecasting workflows, one CSV at a time.
Each page starts with a realistic sample series and ends with the decisions the forecast supports. Pick the one closest to your job, run the sample, then replace it with your own history.
inventory forecasting
Forecast daily SKU demand from a CSV, read the 80% range around the median, and set a reorder point that accounts for lead time.
Open the workflowdemand forecasting
Turn monthly product demand into a median plan and an 80% range, then use the band to decide capacity, purchasing and buffer stock.
Open the workflowwebsite traffic forecasting
Forecast daily sessions from a CSV, separate weekday patterns from campaign spikes, and use the range to plan infrastructure and content.
Open the workflowelectricity load forecasting
Forecast hourly load from a CSV, read the daily cycle and the 80% band, and use it for scheduling, procurement and demand-response planning.
Open the workflowsupport ticket forecasting
Forecast daily ticket volume from a CSV, read the weekday pattern and the 80% range, and plan agent coverage without overstaffing the average day.
Open the workflowproduction output forecasting
Forecast weekly production output from a CSV, use the 80% range to plan capacity, and separate planned downtime from unexpected losses.
Open the workflowrevenue forecasting
Forecast monthly revenue from a CSV, separate recurring from one-time revenue, and present a median plan with an 80% range instead of a single number.
Open the workflowcash flow forecasting
Forecast weekly net cash flow from a CSV, use the band to see the downside, and plan payroll and supplier payments with a visible range.
Open the workflowchurn forecasting
Forecast monthly churn from a CSV, keep the denominator stable, and use the range to plan retention work instead of reacting to one bad month.
Open the workflowenergy price forecasting
Forecast hourly energy prices from a CSV, read the daily shape and the 80% band, and use the range to plan procurement and battery dispatch.
Open the workflowNeed a different series?
The studio accepts any regular time series with a date column and up to eight numeric columns. If your use case is not listed, start with the CSV forecasting guide or read the API reference.