You pay reps to call doctors who don’t prescribe, coverage is wide, Rx-yield is thin, and channel stock returns as expiry.
You pay reps to call a wide base of doctors, but Rx-yield is thin and channel stock comes back as expiry. The primary sell-in number stays green while prescriptions, secondary offtake and field-force yield weaken underneath. We join Veeva, IQVIA and stockist data into one view, then show you where to redeploy the field force and where stock is heading to expiry.
Illustrative · representative model, not a client. The live audit is the proof.
The recoverable move, fast, from data you already have
- Join SFA coverage, Rx-audit yield and stockist secondary, three silos reconciled by hand today.
- Reallocate the field force off no-Rx doctors, same headcount, more frequency on convertible ones.
- Right-size dispatch to offtake on over-stuffed stockists, cut expiry and returns, mostly margin.
- Walk away with a ranked action list: which territories to redeploy against, which stock to pull, and the Rx-yield math behind each.
Built for a mid-market branded-generics maker, a CEO commercial view joining field-force coverage, prescription yield and stockist offtake.
Where the data is too weak to trust: Rx is sampled and secondary is lagged, we confidence-score yield and flag where the data is too weak to trust; the bottom-yield / top-cost doctor segment is robust to sampling error.
Warehouse-native. We build where your pharma data already lives.
From Veeva, IQVIA and the stockist feeds up to the AI analyst on top, mapped to the tools you already run. No rip-and-replace.
Don't see yours? The medallion model is source-agnostic, we connect what you run.
The honest answers, before you book.
Is this just another dashboard?
No. You get a decision, not a chart: the territories and doctors to redeploy against, and stock to pull, with the math behind each, plus where the data is still too weak to trust.
Do I have to rip out my stack?
No. We build warehouse-native on top of Veeva, IQVIA and your stockist feeds. Nothing gets replaced and your team keeps working the way they do today.
My data is too messy for this.
That is the normal starting line. Secondary offtake estimated, and stockist data that lags: we reconcile it and flag every number that is still a guess instead of hiding it.
See where field-force spend is wasted, in 21 days.
We join Veeva, IQVIA and stockist data into one view, then hand you the ranked redeploy list. Scope and evidence requirements are confirmed before kickoff.
Book a commercial diagnosticNo rip-and-replace. No long contract. We start from the data you already have.