Augmented Reality Ordering System With Data Analytics To Support Decision Making In The Restaurant Chains
- Montaigne G. Molejon
- Benilda Eleonor V. Comendador
- Open University, Polytechnic University of the Philippines
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Restaurants are really dependent on the experience and engagement of their customers in which customer satisfaction is the core part for the growth of the organization. It was revealed that bad experience comes in numerous reasons that can really affect customer experience. The main objective of the study was to create a modern ordering system using augmented reality with data analytics to enhance customer experience by providing an interactive way of ordering. The study utilized descriptive method to describe the behavior or assessment of the respondents about the study and developed software application. The study intended to provide a kind of experience that will be enjoyed by a customer and also, to give an easy-to- use application that can help the establishment in boosting not just their sales but also, their morale as a business in restaurant industry.
- Augmented Reality, Human-Computer Interaction (HCI), Big Data, Data Mining, Apriori Algorithm
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APA 7th Edition:
Molejon, M., & Comendador, B. (2020). Augmented Reality Ordering System With Data Analytics To Support Decision Making In The Restaurant Chains. Innovatus, 3(1), 18-28.
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Harvard:
Molejon, M. and Comendador, B., 2020. Augmented Reality Ordering System With Data Analytics To Support Decision Making In The Restaurant Chains. Innovatus, 3(1), pp.18-28.
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IEEE:
[1] M. Molejon and B. Comendador, "Augmented Reality Ordering System With Data Analytics To Support Decision Making In The Restaurant Chains", Innovatus, vol. 3, no. 1, pp. 18-28, 2020.
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