Literature review of data analytics utilization in Supply Chain Management

With an exponential increase in transition of various business to technical platforms there has been a huge data transfer between various platforms occurring every second. In 2020, there was a significant increase in the number of businesses shifting to online platforms during COVID, which not only increased the data traffic but also led both academic and IT industry to think of various techniques to improve data quality and data transformations in order to achieve optimal solutions from their captured data. The current review paper provides insight about how data analytics has been used by various phases within Supply chain management and also addresses the usage of data analytics in creation of various SCM models. The paper also addresses a number of research gaps while creating these SCM models, which leads to future research directions.