Conception d'une plateforme d'optimisation des ventes pharmaceutiques

Abstract #

The Moroccan pharmaceutical industry is a growth pole because of the technologies it has

acquired, there techniques ares recognized by international bodies, and the performance it

achieves both in terms of the quantities produced and the quality of medicines. This growth

was more and more remarkable with the emergence of the Covid19 pandemic and the needs

associated with drug purchases.

Our entire project is part of a global project integrating several Moroccan client pharmacies to

integrate a sales optimization platform, our component aims to create an easy-to-use web

application that runs in an environment of deployment to run the drug detection model.

Due to the complexity of the project and due to time constraints, we were unable to integrate

the detection results into the overall sales management platform. We focus on real-time

detection of products presented on a webcam at local pharmacies and keeping detected sales

histories for the ultimate possibility of generating sales reports aid customer decision making.

To do this, after an image processing used for training the model, we use a python framework

to deploy and integrate the model into a web application.

To offer the optimal solution with which we will work to achieve the realization of the

project, we first went through a needs study to properly determine the expectations and needs

of the customers vis-à-vis the final application. After that we were able to develop a general

design of the detection solution as well as for each stage of the model first and the web

application thereafter, through which the project will be carried out.