Application of New Artificial Intelligence (A.I.) and Machine Learning (M.L.) Forecasting Models to Develop and Implement a Data Strategy for Tournament and Event Management

Sport-Travel是锦标赛和活动管理的行业领导者。Sport-Travel位于安大略的伦敦，已经为青年，业余体育和活动管理行业提供了二十多年的服务。目前，Sport-Travel拥有大约10-15年的体育旅游行业专有酒店预订平台数据。然而，为了充分利用这些数据来更好地了解和营销Sport-Travel的核心客户，提高效率，并提供更多的定制产品，Sport-Travel需要清理数据并制定数据战略。Sport-Travel和兰顿学院信息技术和通信研究中心（ITCRC）将合作开发人工智能（A.I.）机器学习（ML）预测模型，以更好地预测未来的运营和流程。为此，该团队将专注于数据整理、数据准备和可视化，并调查和测试预测算法，以找到最适合最终产品的模型。拟议合作项目的成功将为Sport-Travel提供一个有助于增加收入和降低成本的数据战略。具体来说，开发的A.I.和M.L.预测模型将使Sport-Travel更好地了解北美市场，以便根据客户的独特个人资料提供更多定制的旅行。Sport-Travel还将能够利用行业供应商的可用数据，通过广告和促销来确定新的收入来源，并通过了解平均费率和使用模式来提高内部效率。事实上，有效利用Sport-Travel数据的能力将在未来几年内增加市场份额和创造就业机会

Sport-Travel is an industry leader in tournament and event management. Located in London, Ontario,Sport-Travel has been serving youth, amateur sports, and event management industries for over twenty years.Currently, Sport-Travel has approximately 10-15 years of data from their proprietary hotel reservation platformwithin the sports travel industry. However, to fully leverage the data to better understand and market toSport-Travel core customers, improve efficiencies, and provide more customized offerings, Sport-travel needsto clean the data and develop a data strategy.In collaboration, Sport-Travel and Lambton College Information Technology and Communication ResearchCentre (ITCRC) will focus on developing Artificial Intelligence (A.I.) and Machine Learning (M.L.)forecasting models to better predict future operations and processes. To do this, the team will focus on datacleaning, data preparation, and visualization as well as investigate and test forecasting algorithms to find themost appropriate model for the final product.The success of the proposed collaborative project will provide Sport-Travel with a data strategy that will helpto increase revenue and reduce costs. Specifically, the developed A.I. and M.L. forecasting models will provideSport-Travel with a greater understanding of the market across North America to offer more customized traveloptions based on customers' unique profiles. Sport-Travel will also be able to leverage the available data toindustry suppliers to identify new revenue generation through advertisements and sponsorships and improveinternal efficiencies by understanding rate averages and usage patterns. Indeed, the ability to effectively useSport-Travel's data will lead to both increased market share and job creation in the coming years