Risk & insurance
Insurance claims forecasting
Forecast claim counts, severity, workload, and cash requirements by product, peril, and region.
Sound familiar?
- Storm claims flooding in before adjusters can be positioned
- Reserves reviewed after the loss picture is already old
- Vendor capacity booked at panic prices mid-catastrophe
Claims volume
claims / day · Live forecast
Driver
Policy exposure
Driver
Weather
Driver
Reporting lag
Forecast horizon
Days–18 months
Refresh cadence
Daily or weekly
Built for
Claims operations · Actuarial
What you can predict
One forecast can answer several operational questions.
Combine policy exposure, claim history, weather, repair costs, catastrophe signals, and reporting lags to maintain operational and financial forecasts.
Claim count and severity
Reported and incurred loss
Adjuster workload
Claims cash flow
Questions teams need answered
- How many claims will be reported?
- Which regions need adjuster capacity?
- How will repair inflation affect severity?
- What is the likely loss range?
Data that can improve the forecast
Start with the history you already have. Add internal or external drivers only when backtesting shows that they improve the forecast on held-out periods.
What-if planning
Test a change before committing to it.
Compare a proposed change with the current baseline. See the expected direction, timing, range, and the assumptions behind the result.
Storm severity increases
Recalculate claim count, loss, and staffing
Repair costs rise
Compare severity and cash requirements
Claims volume
claims / day · Scenario comparison
What if
Storm severity increases?
Driver
Policy exposure
Driver
Weather
Driver
Reporting lag
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh claims volume on a daily or weekly cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- Claim volume exceeds operational capacity
- Expected loss moves outside plan
03 · DECIDE
Put the result to work
Build a claims forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.