Dynamic Inventory Management Using AI: A Case on Datarobot

The main challenge of inventory is various factors variation accounting with respect to time. This paper investigates the prediction of dynamic inventory through Artificial Intelligence platform with Datarobot. Datarobot is an AI platform, provides ensemble Algorithm which shows different result for a particular data based on several parameters. It deploys predictive models for the given data and study the past graph of the data and works on the prediction within a matter of minutes and gives different algorithm which compares the algorithms for the best prediction (Paras Gurnani, Divesh Hariani, Karan Kalani, Praveen Mirchandani and Lifna CS, 2022) [1]. Based on our research data, the regression and gradient booster models predict the production quantity. It helps Industries to be updated and stock their inventory efficiently and be ahead of their competitors.