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

Sport-Travel 是锦标赛和活动管理领域的行业领导者。 Sport-Travel 位于安大略省伦敦，二十多年来一直为青少年、业余体育和赛事管理行业提供服务。目前，Sport-Travel 拥有来自其专有酒店预订平台的体育旅游行业大约 10-15 年的数据。然而，为了充分利用数据来更好地了解和营销体育旅游核心客户、提高效率并提供更多定制化产品，体育旅游需要清理数据并制定数据策略。体育旅游和兰姆顿学院信息部合作技术与通信研究中心 (ITCRC) 将专注于开发人工智能 (A.I.) 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，以及研究和测试预测算法，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 提供数据策略这将有助于增加收入并降低成本。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，从而根据客户的独特情况提供更多定制的旅行选择。 Sport-Travel 还能够利用行业供应商的可用数据，通过广告和赞助确定新的收入来源，并通过了解平均费率和使用模式来提高内部效率。事实上，有效利用体育旅游数据的能力将在未来几年增加市场份额并创造就业机会