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MGI research found that 45 percent of work activities could be automated using current technologies; 80 percent of that activity is attributable to existing machine-learning capabilities. Robot-led workforce automation is not going away. In the world of AI, the line between influence and manipulation is clouded with intent.
It reveals details about customers’ transaction path through the organization: which touchpoints they used, the route they took, the duration of each step, and where the journey ended. It provides a first-hand account of customers’ perception of the service journey by capturing sentiment and emotion, and the degree of effort expended.
Instead of asking mundane things already captured , use data-mining (machinelearning / AI) to bring those basics to managers’ attention, and focus your energy on acting on that rather than collecting yet more redundant data in this overwhelming information age. You already know what ticks off customers.
AI, machinelearning, IVAs, robotic process automation (RPA), desktop process automation (DPA), knowledge management, and more will be instrumental in helping companies improve the service experience. Contact centers are typically conservative and slow to change, and DMG expects this to continue. probability).
IoT and CRM: Better Together IoT is the connection of devices via the internet, while CRM is the collection of customer data through datamining with the purpose of providing useful insight into customer behavior for marketing and sales purposes. Since we know that CRM requires data, combining it with IoT is a perfect match.
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