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

该项目使Mywedhelper公司能够根据客户以前的选择预测未来的偏好。研究和开发一个预测模型，根据他们以前的选择用户的未来偏好是这个项目的重点。我们将研究和开发一种算法，以确定某些客户偏好的可能性，从而预测用户的下一步选择。我们在数据聚类，随机过程和建模的自适应预测，数据挖掘，大数据分析，编程和预测建模技术方面的专业知识将用于该项目。该项目有三个主要步骤：1）开发和设计客户调查问卷; 2）开发所需的准时预测模型; 3）设计一个战略，以最佳方式连接客户和供应商。我们将实施先进的 数学建模和预测算法，开发一个平台，直接连接南亚夫妇规划他们的婚礼与正确的供应商根据他们的规划需求。这个平台将帮助加拿大境内的其他企业更深入地了解这一人群的购买行为，这对夫妇有助于加拿大整体经济的发展。

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.