Abstract
Customer’s behavior varies from person to person based on their segmentations, while understanding these differences is one of the key elements of success in food and beverage sector. By understanding customer’s behaviors, restaurant’s owners will be able to identify their targeted customers and will give a clear insight on their menu products. Additionally, it will allow them to target their marketing campaigns, increase the revenue and optimize the cost. Artificial intelligence applications in this field have a huge positive impact in operations of food and beverage sector and depending on of this technology will change the way of restaurant’s management. Data mining prediction model is a tool that can be used by business’s stakeholders to determine and predict the most attributes that can affect their customer behavior. Therefore, the current research finds better solutions to enhance business decision-making by the use of AI and data analytics which will help in understanding the consumer’s behaviors.
Publication Date
5-2022
Document Type
Master's Project
Student Type
Graduate
Degree Name
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research (Dubai)
Advisor
Sanjay Modak
Advisor/Committee Member
Ehsan Warriach
Recommended Citation
AlShamsi, Abdulrahman Yousef, "Understanding Customer Behaviour in Restaurants based on Data Mining Prediction Technique" (2022). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/11210
Campus
RIT Dubai
