High efficiency is inevitable for each manufacturing unit of a company. A large volume of data is obtained such as the number of units produced and machine runtime. The analytics system decouples this data for analysis and restores in sync for useful and powerful interpretation.

Analytics related to machine-utilization gives a clear view of effectiveness, rate, and reason for failure, and factors impacting the schedules and causing delays. This enables you to conduct predictive maintenance and improve machine efficiency.

While logistic analytics helps in improving the supply chain, reverse logistics analysis can give insight into some hidden costs and inefficiencies. By a meticulous study of returned products, you can identify the part of the process that is resulting in the production of defective pieces. This helps in reducing costs due to customer dissatisfaction and the production of faulty products.