Pharmacy delivery
Working backwards from sales to the customer behind each drug.
Four archetypes, one per drug
- 1Antihypertensive Twinsdaytime · routine · low cost
- 2Metformin Twinsevening & weekend · routine · high cost
- 3Inhaled corticosteroid Twinssame-day · urgent · highest cost
- 4Topical retinoid Twinsany window · elective · lowest cost
The challenge
A prescription delivery company needed to know who was driving demand for each drug across Massachusetts, why some service areas under- or over-performed against their footprint, and how to change operating windows. Sales data showed where orders came from, not who placed them.
The archetype
Inferred for each drug from sales rather than specified in advance: four distinct customer profiles across the top prescriptions.
Hidden variables
- Hours at home on weekdays
- Vehicle availability
Delivered
One inferred archetype per drug with its reachable-hours profile by census tract.
Used to
Reset delivery windows (routine daytime for one profile, evenings and weekends for another, same-day for a third) and re-staff the service areas underperforming against their projected performance.