THESIS
2017
xiii, 126 pages : color illustrations ; 30 cm
Abstract
The service in food serving establishments has a lot of room for improvement. Lack of
proper communication causes the dining experience for both the businesses and their clients
to deteriorate. Currently, the interaction methods are outdated and error prone. Once the
customer knows what they would like to have, placing the order requires them to grab the
attention of the right waitstaff, verbally relay the information of what every single person
sitting at that table would like to eat and drink, and hope that the waitstaff successfully takes
and passes on the order to the kitchen. In addition to these common problems, another set of
complications present themselves for countries with higher number of international residents.
The language barrier creates discord between customers...[
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The service in food serving establishments has a lot of room for improvement. Lack of
proper communication causes the dining experience for both the businesses and their clients
to deteriorate. Currently, the interaction methods are outdated and error prone. Once the
customer knows what they would like to have, placing the order requires them to grab the
attention of the right waitstaff, verbally relay the information of what every single person
sitting at that table would like to eat and drink, and hope that the waitstaff successfully takes
and passes on the order to the kitchen. In addition to these common problems, another set of
complications present themselves for countries with higher number of international residents.
The language barrier creates discord between customers and establishment and limits the
interaction to a great degree.
EZServd is our solution to these problems. It is an in-house ordering assistant that
allows the customers to place and track their orders digitally using their own devices in their
own language. It is a platform that carries the communication to digital realm, bypassing the
once mandatory physical interaction with the waitstaff.
Besides providing ease during order placement, EZServd also helps the customer with
their decision-making process to enhance the dining experience. With its embedded
recommender system, EZServd can offer suggestions to its users based on four different
criteria called suggestion modules. These are Demographics, Finance, Speed and Chef’s
Recommendation. Each module stimulates how a potential customer decides on what to order
in a food serving establishment to cater to a greater number of customers.
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