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Augmented Reality Ordering System With Data Analytics To Support Decision Making In The Restaurant Chains

Authors: Molejon, Montaigne G.; Comendador, Benilda Eleonor V.;

Augmented Reality Ordering System With Data Analytics To Support Decision Making In The Restaurant Chains

Abstract

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.

Keywords

Augmented Reality, Human-Computer Interaction (HCI), Big Data, Data Mining, Apriori Algorithm

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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