A Digital Twin can be defined as a fully mapped digital version of a real-world system. In terms of business, a Digital Twin is described as a digital entity that simulates the structure of an organization. Digital Twin’s technology has moved beyond its initial phase and is now used to merge worlds of IoT, AI, and data analytics. As the business models are gaining complexity, Digital Twins also assist in advance planning and ROI citations.

Most businesses are implementing Digital Twins because of an array of benefits offered by them:

  • Product Insight: A Digital Twin is a comprehensive collaboration of AI, machine learning, and data analytics. This allows the manufacturers to gain an insight into real-world usage of their products and predict any issues before they actually arise. This gives them an opportunity to take preventive measures to overcome such risks in advance; thus reducing business downtime and overhead expenditures.
  • Supply Chains: Combining product and packaging data with Digital Twins technology can help in improving efficiency by automating packaging selection. It will also help supply chain managers in optimizing packaging strategies for product protection. Further, the supply chain is impacted by micro-variables such as temperature, humidity, etc. The data on micro-variables can be collected from sensors placed across different geographic locations of the supply chain. This data can be fed into the Digital Twin model of the supply chain network to predict and control their impact.
  • Customer Service: A Digital Twin of a business organization can be used to analyze customer behavior based on customer feedbacks. This facilitates the development of new products and improvement of existing products in a customer and data-driven way resulting in improved customer satisfaction.
  • Resource Allocation: Understanding the priorities of parallel business processes and allocating the resources accordingly is necessary for effective management of business operations. Digital Twin models of business networks equip the management with the data required to allocate the resources efficiently. For Example: A Digital Twin model of a healthcare organization (such as a hospital) can be set up completely with all its elements including equipment, doctors, administrators, etc. This model can be used to get real-time updates on patients’ health with the help of sensors for quick analysis and decision making. This reduces the patient wait – time and can prove life-saving in time-sensitive scenarios.<

For more information on Digital Twins and benefits of implementing them in business, contact Centex Technologies at (254) 213 – 4740.