下载PDF
Frontier Airlines Reduces Look-to-book Ratio By 64% Through Imperva
技术
- 分析与建模 - 机器人过程自动化 (RPA)
- 机器人 - 轮式机器人
适用行业
- 电信
- 运输
适用功能
- 维护
- 销售与市场营销
用例
- 对话机器人
- 施工管理
服务
- 系统集成
挑战
边疆航空是一家低成本航空公司,其在线预订引擎面临着重大挑战。该公司注意到浏览预订比率高于预期,这表明许多网站访问者正在查看航班,但并未进行购买。经过进一步调查,发现 50% 至 60% 的流量不合法,而是由机器人运营商抓取定价数据并人为抬高浏览预订率而产生的。机器人的涌入不仅影响了 Frontier 的比率,而且还可能导致巨额超额费用,因为该公司与第三方预订系统合作,要求其满足一定的浏览预订比率。此外,机器人访问的网站分析存在偏差,阻碍了公司优化客户旅程并最大化收入和客户体验的能力。 Frontier 之前对抗机器人的尝试(例如手动 IP 阻止)被证明是耗时且无效的,因为机器人的复杂程度急剧增加。
关于客户
边疆航空是一家低成本航空公司,每天运营 350 多个航班,飞往美国、加拿大、多米尼加共和国和墨西哥约 100 个目的地。该公司总部位于丹佛,因卓越维护而荣获美国联邦航空管理局 2016 年钻石奖。 Frontier 最近还被国际清洁运输理事会 (ICCT) 评为业界最省油的航空公司。该公司非常重视引导客户访问其网站以获得最佳价格和体验,因此客户渠道的优化极其重要。
解决方案
Frontier Airlines 求助于 Imperva(以前称为 Distil Networks)来解决其机器人问题。实施了 Imperva 机器人管理,部署一个月内浏览预订率降低了 64%,超出了公司的目标。该解决方案不仅消除了 Frontier 预订系统基础设施每月超额费用的可能性,而且还减少了生产服务器上的查询负载,从而降低了基础设施成本并改善了用户体验。此外,通过将机器人调查和缓解工作完全外包给 Imperva 的分析师托管服务团队,Frontier 能够消除内部花在机器人防御上的时间。当 Imperva 开始保护 Frontier 的桌面网站时,该航空公司发现攻击转向了其移动 API。作为回应,该航空公司添加了用于移动应用程序保护的 Imperva 机器人管理。当发现针对其移动 API 的新威胁时,Imperva 与其应用程序开发人员合作将其集成。
运营影响
数量效益
相关案例.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”