Enter historical demand, seasonality, and trend
Add your historical average demand per period, a seasonality multiplier for the upcoming period (1.0 = normal, above 1.0 = uplift, below 1.0 = dip), and an expected trend growth rate as a percentage.
DEMAND FORECAST
DemandPulse
Enter historical average demand, a seasonality multiplier for the upcoming period, and a trend growth rate to get a transparent, formula-based demand forecast.
- Uses your inputs in a transparent calculation
- Instant result with practical next steps
- No signup required
Planning guidance only. Validate important decisions with customer evidence and your delivery team.
YOUR INPUTS
Build your result
Complete every field. The result updates only when you choose Calculate.
How it works
We calculate forecasted demand with simple multiplicative arithmetic
Forecasted demand equals historical average demand multiplied by the seasonality multiplier, multiplied by (1 plus the trend growth rate as a decimal). No machine-learning model is involved.
Get the forecast, the change vs baseline, and a verdict
The result shows forecasted demand, the incremental unit change and percentage change vs your historical baseline, and a verdict on whether the shift is significant.
Continue learning: MVP development checklist · Which MVP metrics matter?
Frequently asked questions
Is DemandPulse a machine-learning forecasting model?
No. DemandPulse uses simple, transparent multiplicative arithmetic — historical average demand × seasonality multiplier × (1 + trend growth rate) — not a trained machine-learning model. Every number in the result can be traced directly back to your three inputs.
Does DemandPulse pull live sales data automatically?
No. It computes only from the figures you enter — it does not connect to a live POS, ERP, or sales-data feed. You supply the historical average, seasonality, and trend figures yourself.
Where do I get a seasonality multiplier?
Compare the same period from prior years to your typical baseline — for example, if a holiday month usually sells 30% more than average, use 1.3.
What if I don’t expect any trend growth?
Enter 0 for the trend growth rate — the forecast will then reflect only the seasonality adjustment applied to your historical average.
Why is the result rounded to two decimal places?
It keeps the output readable while preserving enough precision to see small percentage shifts — the underlying calculation is not otherwise altered.
Can I use this forecast as a binding purchasing commitment?
No. It is a planning estimate based on the assumptions you provide, useful for directional decisions, not a guaranteed demand figure.
How We Compare
| Feature | MVPHub | NetSuite | Flexport |
|---|---|---|---|
| Instant transparent formula-based forecast | Included | Limited | Limited |
| Live sales-data-driven ML forecasting | Not included | Included | Included |
| No signup required to try the calculation | Included | Not included | Not included |
| Multi-warehouse demand planning integration | Not included | Included | Included |
NetSuite and Flexport provide live, data-driven demand planning integrated with broader supply-chain systems. MVPHub gives a fast, transparent multiplicative forecast from figures you enter, with no setup.
Related tools
Embed this tool
Add this tool to your site with the canonical iframe below. It remains hosted and maintained by MVPHub.