Development of a BOT for Time Optimization at a Fast-Food
Citation
MLA Style: Lucas Guimarães da Rocha, Tiago Bittencourt Nazaré, Patrícia Werneck Silva de Oliveira "Development of a BOT for Time Optimization at a Fast-Food" International Journal of Engineering Trends and Technology 64.3 (2018): 139-143.
APA Style:Lucas Guimarães da Rocha, Tiago Bittencourt Nazaré, Patrícia Werneck Silva de Oliveira (2018). Development of a BOT for Time Optimization at a Fast-Food. International Journal of Engineering Trends and Technology, 64(3), 139-143.
Abstract
Considering the current perspective of the market, it is noticed that time is a valuable resource, where it is sought to optimize the time used in processes in an efficient way. In this environment, technology arises bringing efficient possibilities through neural networks and artificial intelligence, allowing the machine to be even more capable of performing human functions. The present work aims to develop a virtual attendant, which aims to fulfill requests in a fast food franchise and compare with the time of service of a study by another author, with the proposal to optimize the time of service, at the end of its development the service time was compared with the time measured in the work used for comparison, and customer satisfaction survey questionnaires were applied in relation to the developed project. The developed virtual assistant has artificial intelligence, provided by a neural network that enables it to distinguish intentions and entities in a message, was developed in the C # language and using the resources of the cloud computing, the virtual attendant in this context is also called as BOT and operates via chat channels such as Telegram, Slack, Skype, among others. The BOT reached a service time of 3.1 minutes, meaning a reduction of 78.5% of the time used in each request. The operation of the BOT was consistent in the services performed, responding as expected and the responses of the customer satisfaction survey questionnaires indicated a satisfactory approval.
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Keywords
Artificial Intelligence, Virtual Attendant, Fast-Food.