QORAl: Q Learning based Delivery Optimization for Pharmacies

Home delivery is getting extremely popular since the rise of the smartphone generation and is being implemented in almost all sectors where consumer convenience is top priority. One such important sector is the pharmacy industry. The critical aspects of delivery systems targeted towards this sector is the correctness of the order and speed of delivery. Furthermore, optimisation of the delivery routes in a multi-source, multi-destination scenario increases the complexity of the problem considerably. This paper provides a Q-Learning based approach for optimising routes with minimum computation time, in the form of the QORAl algorithm. In addition, certain complications with respect to the application of e-commerce in healthcare have also been addressed with the PharmaQuick ecosystem.