Intelligent recommendation and automatic maintenance of loyalty rewards programs

加拿大人在日常生活中一直严重依赖各种忠诚度奖励计划，例如AirMiles， 购物者最优、加拿大轮胎奖励/金钱、Aeroplan等。虽然这些奖励计划 给客户带来节省的同时也给零售商带来利润，携带数十张奖励卡的不便 极大地限制了客户对奖励计划的参与。一个有希望的解决方案是管理奖励 卡与智能手机相结合，这不仅消除了实体卡的使用，还增强了服务 由奖励计划提供。CompuClever Systems Inc.的产品FanPlastic就是这样一种解决方案。 该项目的目标是解决风扇塑料平台中的两个核心技术挑战：(1)设计 并开发智能、最优奖励推荐引擎，以及(2)开发自动搜索 云上引擎，用于更新和维护会员卡和第三方服务。 该项目的主要成果包括：(1)上下文感知的最优推荐引擎， 用户友好的优惠券推荐，(2)更新会员卡的自动后台搜索引擎 数据库和云中相关联的第三方服务，(3)应用编程接口(API)， 它可以被风扇塑料平台直接调用，以执行算法并输出结果。

Canadians have been heavily depending on various loyalty rewards programs in their daily life, e.g., Airmiles, Shoppers Optimum, Canadian Tire Rewards/Money, Aeroplan, and many more. While these rewards programs bring savings to customers as well as profit to retailers, the inconvenience of carrying tens of rewards cards has greatly limited customer participation in the rewards programs. A promising solution is to manage the rewards cards with smartphones, which not only eliminate the use of physical cards but also augment the services offered by the rewards programs. Fanplastic, a product from CompuClever Systems Inc., is one such solution. The goal of this Engage project is to address two core technical challenges in the fanplastic platform: (1) design and develop an intelligent, optimal rewards recommendation engine, and (2) develop an automatic search engine over cloud for the update and maintenance of loyalty cards and third-party services. The main output of this project includes: (1) an optimal recommendation engine for context-aware, user-friendly coupon recommendation, (2) an automatic backend search engine for updating the loyalty cards database and associated third-party services in the cloud, (3) an application programming interface (API), which can be called directly by the fanplastic platform, to execute the algorithms and output the results.