A digital twin is a virtual model of a product, system or process that is created to mirror its real-life counterpart for practical purposes such as testing, monitoring and maintenance. To be effective, the digital twin is designed to last the entire life cycle of the original product and is regularly updated with real-time data.
Next, apply proven analytics, leveraging recent AI technologies, to process and analyze the digital twin data. Unlike the traditional design approach of"build first and fine-tune later," with twinning, you first build the twin to see how it works, identify any issues, fix them and then apply the same"proven" process to the real product, thereby enhancing it.It is evident that digital twinning is here to stay.
Digital twinning also enables better predictive maintenance, leading to longer equipment uptime without unnecessary shutdowns. It can enhance customer experience and personalization, fostering customer loyalty through added value rather than lower prices. These benefits often translate to improved production, more efficient logistics and warehousing, greater consumer reach, higher sales volumes, significant time and cost savings, and increased profits.