AI and automation for the pharmaceutical industry
For commercial and market access teams: which action really moved sales, what your product costs each payer, how much you'll sell and what happens if the price changes. What's decided today with a spreadsheet and gut feeling, measured and running. We know the sector from the inside.
Demand, with its range
What happened, what's forecast and what's uncertain, by product and by region. Switch on a scenario and watch the forecast, the waterfall and stock cover move.
- Next 12 months590k
- Against the previous 12+4.7%
- 90% range551-629
- Mean error, last 6 months6.8%
Units per month · thousand units Hover over the chart
- Actual
- Forecast
- 50% range
- 90% range
Scenarios
From the last 12 months to the next 12k
- Last 12 months564
- Trend and seasonality+26
- Next 12 months590
By region
| Region | Last 24 months | Next 3 months | Stock cover |
|---|---|---|---|
| Andalusia | 27.6k | 7.1 wks | |
| Catalonia | 24.7k | 4.3 wks | |
| Madrid | 21.8k | 5.9 wks | |
| Valencia | 16.0k | 4.8 wks | |
| Galicia | 10.2k | 4.2 wks | |
| Basque Country | 7.3k | 6.4 wks |
Example with fictional data.
Four typical projects in the sector
We define yours in writing before we start, based on how your team works.
Impact analysis of commercial actions
What really moved sales, separated from what would have happened anyway.
See the projectBudget impact analysis
What your product costs each payer, adapted in minutes, not days.
See the projectDemand forecasting
How many units you'll sell, by product and territory, with its range and its reasons.
See the projectPrice elasticity
How much demand changes when the price changes, wherever the price is actually decided.
See the project