Role of simulation in the digital twin for energy and process industries

Fallmann further explained DToCs are created by connecting scattered data from different silos, departments and data sources, which includes consolidating unstructured and structured information. The enhanced experiences driven by DToCs can extend across the physical and digital worlds. For example, DToCs can assist with the design and planning of retail stores and other physical spaces.

Physics-based simulation models, at varied length scales, allow engineers to capture this complexity and use it to explore design and operating spaces to find optimum conditions. Finally, in the long term, the Gartner report indicated brands should create the digital twin of a team of customer experience specialists that will be used to discuss the implications and merits of DToC on operational processes and the overall brand business model. Privacy regulations and laws should be discussed regularly, and the team should work on tracking dynamic personas and the stages of their relationships. “One key innovation making DToC possible is the availability of cloud-scale computing resources combined with modern AI and ML technologies,” Jones explained.

AI can help HR act on the massive amount of data it collects daily by planning and testing new processes and services in the virtual world long before they see actual daylight. Such a contextual model can drive key decisions which could have been missed, overlooked or not readily visible otherwise. Imagine a digital representation of a process or machine with all current operational parameters and predictions against future orders for material availability, tool life and maintenance schedules. A planner can see how many orders they can schedule with current on-hand inventory and machine supplies. A plant manager can visualize the production rate with potential bottlenecks, and a maintenance manager can determine the remaining tool life and plan the next maintenance. Data from MES is essential for creating a comprehensive digital twin throughout a manufactured product’s life cycle, especially in operational stages beyond engineering and design.

Digital Twins Of The Customer: The Future Of Data Collection

• It isn’t always easy to determine the nature of an issue based on a phone call or chat conversation alone, especially as products and services continue to become more and more complex.
• This includes simulating, and even anticipating a customer’s behaviour, wants, needs and preferences, as well as the ability to test these in different scenarios.
• Entire stores can be replicated via digital twins, and virtual customers walking on the shop floor can be analyzed based on their behavior and the interactions they have on the floor.
• This enables them to better understand what a specific customer purchases, how frequently they buy, how much money they spend and how often they frequent the brand’s website.
• By bridging the gap between the physical world and the digital world, digital twins can enable a brand’s customer service to provide this differentiated level of service through the data they provide.

DToCs can simulate how specific cohorts will respond before a customer journey is defined, saving time and money spent on testing underperforming journey interventions. Forty-one percent of respondents who’ve achieved full customer data integration indicated they were still unable to prove the value of marketing, according to Gartner’s 2022 Marketing Data & Analytics Survey. Developing a 360-degree view requires multiple tools and partners to collect a variety of data types, including behavioral and attribute data. Because of the added complexity and expense, only 14% of organizations have actually achieved a 360-degree view, according to our research. A 360-degree view of the customer is the output of a consolidated, integrated, exhaustive set of data relevant to a company’s relationship with its customers or prospects.

How Digital Twins In HR Can Help Predict Problems And Lead To Organizational Change

At the same time, enterprises have been busy finding ways to get the most value from their investment using various marketing analytics tools. Our sister community, Reworked, gathers the world’s leading employee experience and digital workplace professionals. And our newest community, VKTR, is home for AI practitioners and forward thinking leaders focused on the business of enterprise AI.

Subha Tatavarti, CTO, Wipro, told VentureBeat there have been several important milestones in using tools for simulating customers to improve experiences. The most notable have been the ability to define customer experience transformation objectives, including the capability to identify and assess data assets, personas and processes and tools for building and testing behavior models. New ModelOps approaches for integrating monitoring and enhancing the models are also advancing the field. An important consideration when employing a digital twin is that organizations are recording data and transferring it via cloud technology. This data may be sensitive and contain intellectual property, which puts the organization at risk of a breach. To avoid this, security should be considered a priority from the start for organizations integrating digital twin technology into their customer experience.

How Is a Digital Twin of a Customer Created?

The Infrastructure Cloud will also carry benefits beyond a single project, acting as a source of infrastructure schema and data that can be used on future projects. “Unlike traditional, reactive approaches such as basic customer segmentation or analytics, digital twins go beyond static profiles and actively simulate customer behaviour, wants, needs, and preferences,” he said. In today’s disruptive economy, taking a commodity area of the business, such as cleaning, back in-house is a challenging conversation for business leaders. However, as CIO Emiliano Sorrenti reveals, data enables the organization to believe in a change of course, take control of areas typically outsourced and show how it benefits the customer and ultimately the organization. As organizations continue to become data-driven, data could well be the key to another significant change in the world economy and the current ethos towards outsourcing. By including IoT technology and sensors into products that gather data, information can be sent back to the organization to provide on-the-ground insight into how products are being used, how well they’re performing and the status of the operating system.

When internal battery monitors indicate low levels in devices, you tailor offers to include extended battery-life models. If a customer typically adds an additional 30 seconds after microwaving their dinner, flag them as a target for a higher-wattage model, or offer them a service call to check the output of the appliance. Global beauty chain Sephora builds DToCs to predict products that customers would most likely be interested in, based on their purchase and browsing history.

Digital ways to improve CX.

Combined with other technologies, such as AR, digital twins can offer a truly immersive environment where anything can be turned into a digital experience. Whether the goal is to execute a new strategy, grow a more competitive workforce, improve organizational effectiveness or identify potential issues and obstacles, this is the technology that can be the linchpin between it all. As businesses connect more expansive twin networks and build out this virtual infrastructure, the prediction and automation capabilities will gradually grow. In turn, HR leaders will be able to expand real-time agility at scale and usher in new innovation processes, all the while working out the kinks beforehand. “Initially, it will be hard to convince customers they need a digital twin that your brand stores and that the customer should help create it to improve their experience,” said Jonathan Moran, head of MarTech solutions marketing at SAS.

How Will Digital Twins of Customers Impact CX?

These digital twins are more in the engineering and design domain and answer “what-if” questions to assess feasibility before significant investments in building or acquiring physical systems. With digital twins, your engineers can determine the ideal design before the unit goes into production. Operations engineers can react to real-time product disturbances based on the deep insights gained during R&D. In other words, when it comes to providing a better overall customer experience, physical objects paired with digital twin technology are a perfect match.

There will be more use cases beyond maintenance for productivity, quality, supply chain and more. There have been many definitions of digital twins, each correct in its own context, as the concept means different things to different people. With iTwin Capture, users can take drone imagery or point cloud scans of infrastructure assets and start building digital twins directly off of these reality captures. In iTwin IOT, data from sensors and other Internet of Things devices mounted on infrastructure assets or at jobsites can flow directly into the iTwin platform, granting the digital twin a more active role in safety and environmental monitoring. Using simulation to understand complexity creates opportunities to deploy the insights to your businesses’ advantage.