This post covers how to connect Azure Custom Vision Service (over at ) with Microsoft Flow, enabling the use of the prediction within Canvas and Model-driven Apps, the Common Data Service and PowerBI. I’m a huge user and fan of Azure Cognitive Services (there are many) and Microsoft Flow, so being able to use Flow as the platform that connects an App to these services can offer tremendous value. Check out how to do this right now!
Being able to talk to a live chat agent is a popular website feature, especially in the Retail industry where staff are on hand to be able to manage and solve customer queries so they can get back to buying products. This became a popular service-oriented capability and more industries are adopting this feature, but one step further. Being able to embed bot technology before a real person is even required has now become the go-to strategy for customer service.
Having a business system that gives actionable insights is important, allowing staff to be able to take information and turn it into useful knowledge relevant to their goals and mission within the business. This mission often involves interacting with customers. In an era of self-service, it’s not all the time the interactions are outbound, and customer interactions can come through via portals, landing pages, surveys and completing feedback forms in any length of time that is not guaranteed. The interactions can result in a, broadly categorised, positive, negative or indifferent experience for the customer. Given not everything is always going so positively with customers, wouldn’t it be amazing to know the general sentiment a customer has from the currently related interactions? This way, users can be alerted if a customer’s average sentiment changes to negative, or before you contact a customer you know if a recent interaction has made them less than impressed, giving you the opportunity to change their impression for the better.