Optimal booking window assessment under an any airline scenario

任何航空公司场景下的最佳预订窗口评估

• 批准号: 528814-2018
• 负责人: Plante, JeanFrançois
• 金额: $ 1.82万
• 依托单位: HEC Montréal
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=662291
• 关键词: Optimal; booking; window; assessment; under

Aimia Canada Inc. manages loyalty programs such as Aeroplan. To offer a better experience to their members,**Aimia wants to leverage airfare data to bonify their services. The first objective of this project is to model the**evolution of airfare through time for the most frequent origin-destination flights booked by Aeroplan members.**Successfully identifying the best time window to purchase the tickets will bring value to both Aimia and its**members. The second objective consists in predicting the time window where a member is most likely to**travel. Combining the knowledge extracted by solving both problems will enable Aimia to generate**personalized offers to their members, offering them the flight they want at the right time to secure a low price.

Aimia Canada Inc.负责管理Aeroplan等忠诚度项目。为了给他们的会员提供更好的体验，**Aimia希望利用机票数据来丰富他们的服务。该项目的第一个目标是模拟Aeroplan成员预订的最频繁的始发至目的地航班的机票价格**随时间的演变。**成功确定购买机票的最佳时间窗口将为Aimia及其**成员带来价值。第二个目标是预测会员最有可能**出行的时间窗口。将通过解决这两个问题提取的知识结合在一起，将使Aimia能够为其成员生成**个性化的优惠，在合适的时间为他们提供他们想要的航班，以确保低价格。