Predictive modeling and smart infrastructure for simultaneous choice of several vendors in wedding market application

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This project enables Mywedhelper Company to predict future preferences of the customers based on their previous selections. Research and develop of a predictive model for future preferences of a user based on their previous selections is the focus of this project. We will research and develop an algorithm to determine the likelihood of certain customer preferences to predict users' next choices. Our expertise in data clustering, adaptive prediction of stochastic processes and modeling, data mining, big data analysis, programming, and predictive modeling techniques will be used in this project. The proposed project has three main steps: 1) Developing and designing customer questionnaire; 2) Developing the required on-time predictive model; 3) Designing a strategy to optimally connect the customers and vendors. We will implement advanced mathematical modeling and prediction algorithms to develop a platform that directly connects South Asian couples planning their wedding with right vendors based on their planning needs. This platform will help other businesses within Canada to obtain a deeper understanding of the purchasing practices of this population which couple help contribute to the overall Canadian economy.