Walgreen Company

Giovanni Passarella

Paolo Sepe

Richard Ian Naylor

Farid Poonja

Neil Younger

Sarah Helen Scriver

Felipe Sanchez

The current disclosure relates to systems and methods for prescription stock management at one or more pharmacies in a pharmacy chain. The system initializes and trains a stock management model using machine learning techniques in order to calculate outputs such as a minimum stocked number, a maximum stocked number, and an order amount for at least one prescription item. The system then monitors the inventory of the prescription item, and transmits an order, based on the order amount, for the prescription item if the stock of the prescription item is less than the minimum stocked number.

Systems and methods for automated pharmaceutical stock management

Techniques for automatically tracking, ordering, and replenishing prescription item stock are provided. Based upon a statistical analysis of prescription order transactions, rules may be established to selectively identify which prescription stocked items qualify for automatic stock tracking, ordering, and replenishment. The rules may be based upon metrics such as a daily rate at which each prescription item is dispensed over a specified sampling period as well as the cost of each prescription item. Once qualified, automatic replenishment may be facilitated by calculating stock number minimums and maximums using a statistical analysis of the prescription transaction history for qualifying prescription items. The minimum and maximum stock number values may be used to trigger the generation of purchase orders and to specify how much stock needs to be ordered for each qualifying prescription item as it is replenished.

Prescription stock management system

Growing community of inventors

Naples, Italy

Giovanni Passarella