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

应用新的人工智能 (A.I.) 和机器学习 (M.L.) 预测模型来开发和实施锦标赛和赛事管理的数据策略

• 批准号: 571162-2021
• 负责人: Sheikhzadeh, MehdiM
• 金额: $ 2.91万
• 依托单位: Lambton College of Applied Arts and Technology
• 依托单位国家: 加拿大
• 项目类别: Applied Research and Development Grants - Level 2
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=761505
• 关键词: Application; New; Artificial; Intelligence; A.I.

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

Sports-Travel是锦标赛和赛事管理领域的行业领先者。体育旅游公司位于安大略省伦敦市，20多年来一直服务于青年、业余体育和赛事管理行业。目前，体育旅游公司从其专有的酒店预订平台中获得了大约10-15年的体育旅游行业数据。然而，为了充分利用这些数据来更好地了解体育旅游核心客户并向其进行营销，提高效率，并提供更多定制产品，体育旅游需要清理数据并制定数据战略。体育旅游与兰顿学院信息技术和通信研究中心(ITCRC)将合作，专注于开发人工智能(AI)。和机器学习(M.L.)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清理、数据准备和可视化，以及调查和测试预测算法，以找到最适合最终产品的模型。拟议的协作项目的成功将为Sports-Travel提供一种数据战略，有助于增加收入和降低成本。具体地说，开发的A.I.和M.L.预测模型将使Sports-Travel更好地了解整个北美市场，根据客户的独特资料提供更多定制的发展。Sports-Travel还将能够利用现有数据向行业供应商提供信息，以确定通过广告和赞助产生的新收入，并通过了解费率平均和使用模式来提高内部效率。事实上，能够有效地使用Sports-Travel的数据将在未来几年带来更大的市场份额和就业机会