Artificial intelligence in its pinnacle demand in various fields, the branches of this are now extending even into the service and hospitality industries.
With Clinc increasing its focus on Fintech in new verticals through conversational artificial intelligence, the hospitality industry is now on its rise in respect to the technological backing. Quick-service restaurants like McDonald’s and Taco Bell were supported with a voice assistant in the drive-through window as well. With this systems provided any customer can order food same as they order through telephonic communications. Even if there is a change in the order it is taken Care of by the AI without any voice modulations but instead talk normally.
Mind you, this is not Siri or Alexa instead it is a conversational AI system.
The company entered with providing solutions for fintech and currently bags several contracts with banks like USAA, Barclays and S&P Global. In most cases, Clinc’s technology competes with human intelligence through the conversational AI system, correctly interpreting unstructured, unconstrained speech. The basic idea being users to converse with the bank using natural language without any hindrances.
Clinc fundamentally found by University of Michigan professors, Dr Jason Mars, Dr Johann Hauswald, Dr Lingjia Tang and Dr Michael Laurenzano; twirled up the quick-service restaurant (QSR) in just two weeks. Clinc’s provides programmers to drop a restaurant’s menu in adding items to the voice service as well.
It seems changing an order using this technology is just as easy as placing one while the engineers are able to modify the order in a fly. While using the system, a computer is programmed to speak. If implemented by restaurants, this seems to be one of the largest barriers to adoption to serve the customers. For instance, ordering food from a fast food restaurant is usually easy, but with Clinc’s system it is handled with an ease and triggers the cause to connect the customer with a live person experience to resolve the issue.
With fast-food restaurants looking for ways to reduce the number of workers in store, It’s made evident that this product can be utilized to address voice-heavy industries such as call centres and appointment booking services also with minimal capital investment and less labour involvement.