Analyzes patient purchase history to predict who needs a refill today, so regular patients on monthly medicines such as BP, diabetes and thyroid tablets can be reminded before they run out.
Different medicines, different refill cycles. Refill Radar knows them all.
Regular monthly medicines. Patients buy every 28-30 days like clockwork.
Short courses. 5-7 day supply. Some patients need a follow-up course.
Patient should have come back but didn't. Might have switched pharmacy or stopped medication.
Pattern recognition on real purchase data.
Every invoice, every medicine, every patient. Builds a complete purchase timeline per patient per medicine.
If a patient buys Amlodipine every 28 days on average, the agent knows when the next refill is due.
Patient hasn't returned within their expected window? They are flagged as overdue with days since last purchase.
"4 patients due for refill today" — with names, medicines, and how many days overdue they are.
Pharmacist reviews the list and can send reminders to patients with one tap. Completely optional — you decide who gets reminded.
Refill Radar's daily notification.
Refill Radar never contacts patients on its own. It generates a list of patients due for refill and presents it to the pharmacist. You choose who gets a reminder and who doesn't.
Regular patients who stop returning are easy to miss. Refill Radar flags them while there is still time to remind them.
The other AI agents, each on its own schedule.
Try the live demo with a sample pharmacy. No signup needed.
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