Multivariate Prediction of Package Delivery Time

包裹递送时间的多变量预测

• 批准号: 530923-2018
• 负责人: Etemad, Ali
• 金额: $ 1.82万
• 依托单位: Queen's University
• 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=650316
• 关键词: Multivariate; Prediction; Package; Delivery; Time

Delivery of packages is a critical concept for e-commerce and many online stores that deliver merchandise and**goods to consumers. The expected time of delivery is an important factor for vendors and customers alike. The**time of package delivery often depends on a variety of parameters, ranging from the number of packages to be**delivered, the availability of staff and resources, and the distance of the destination to the warehouse, to weather**and road conditions. As a result, exact prediction of time of delivery is often difficult and subject to change based**on these highly variable parameters. This project aims to address this problem and develop machine learning**models based on existing multi-modal data from package shipments, traffic, and weather data, to predict package**delivery times with high confidence. Innovapost is part of The Canada Post Group of Companies, a multi billion**dollar Enterprise, which develops and oversees the entire technical and analytical IT infrastructure for Canada**Post. This project will allow the company to utilize the developed methods to inform recipients of a window for**day/time of delivery with high confidence and be able to update the estimation with changes in the parameters in**real-time. Such an accurate service will result in higher satisfaction rates by customers, which will result in**financial growth by the company and eventually Canada Post.

包裹递送对于电子商务和许多向消费者递送商品和**商品的在线商店来说是一个关键的概念。对于供应商和客户来说，预期交货时间都是一个重要因素。包裹递送的**时间通常取决于各种参数，从要**递送的包裹数量、人员和资源的可用性、目的地到仓库的距离，到天气**和路况。因此，准确预测交货时间通常很困难，而且可能会根据这些高度可变的参数**进行更改。该项目旨在解决这一问题，并基于现有的来自包裹发货、交通和天气数据的多模式数据开发机器学习**模型，以高置信度预测包裹**递送时间。InnoVapost是加拿大邮政集团公司的一部分，该集团公司是一家价值数十亿美元的企业，为加拿大邮政开发和监督整个技术和分析IT基础设施。该项目将允许该公司利用开发的方法，以高度可信的方式通知收件人**交付日期/时间的窗口，并能够**实时地根据参数的变化更新估计。这样准确的服务将导致客户更高的满意率，这将导致**公司和最终加拿大邮政的财务增长。