In the present time of relentless competition, manufacturers cannot take any risk while implementing a new process or introducing a new product. With the testing and simulation system, new products and processes can be tested before starting their production or implementation.

This can be done by incorporating AI and VR in the simulations. Technological tools enable manufacturers to identify flows early and reduce the risk and cost of implementation. You can make more scientific and well-informed decisions.

Similarly, technology helps in testing and quality assurance of finished goods. By connecting data sources to actionable insights, you can significantly improve product quality and reduce the cost related to it. Often companies set up hundreds of tests to be carried out on each product. This increases the testing cost.

You can use predictive analysis and pattern recognition to find the actual tests needed to validate a product. Conducting a reduced number of tests will reduce the cost to a great extent.

With big data analysis, the production line cost can also be optimized. Using sensor data analysis at production lines, you can detect defects at an early production stage. This helps in quickly adjusting the production process and reduces cost and time for rectification.