Prediction of Product Stock Levels
In this project, we work with a client Gala Groceries, who has contacted Cognizant for logistics advice about product storage. Specifically, they are interested in wanting to know how better stock the items that they sell. Our role is to take on this project as a data scientist and understand what the client actually needs. This will result in the formulation/confirmation of a new project statement, in which we will be focusing on predicting stock levels of products. Such a model would enable the client to estimate their product stock levels at a given time & make subsequent business decisions in a more effective manner reducing understocking and overstocking losses.