Summary

In this chapter, we learned about the pharmaceutical supply chain industry, the different entities involved, their roles, and the challenges that the industry faces today. We also learned about pharmaceutical sales and how pharma sales reps work to increase awareness and knowledge about their products. We looked at how ML is influencing the pharmaceutical supply chain industry by looking into common applications of ML in pharmaceutical supply chain and sales. We then learned about Amazon Forecast and its various features to create simple and complex forecasting models. Lastly, we used Amazon Forecast to build a pharmaceutical sales forecasting model.

In Chapter 11, Understanding Common Industry Challenges and Solutions, we will get an understanding of the challenges that the healthcare and life sciences industry faces when utilizing ML. We will also look at how to solve some of those challenges and adhere to regulatory requirements in the healthcare and life sciences industry...