Download PDF
Scoot Airlines Enhances Passenger Experience with IoT
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Robotic Process Automation (RPA)
Applicable Industries
- Aerospace
- Equipment & Machinery
Use Cases
- Chatbots
- Traffic Monitoring
Services
- Data Science Services
- System Integration
The Challenge
Scoot Airlines, a low-cost arm of the Singapore Airlines Group, was facing a significant challenge with bad bots abusing their booking engine. Unauthorized OTAs, competitors, and meta search sites were using sophisticated web scraping bots to exploit the business logic of Scoot’s booking engine. This led to skewed look-to-book ratios and site slowdowns. The bot traffic was also depriving legitimate customers of the opportunity to book air travel on Scoot’s website. Furthermore, Scoot was dealing with a high volume of traffic due to novice software development practices at its travel partners. The bot traffic was causing slowdowns across passenger-facing systems, including flight check-ins, which could trigger delays in departure times. The bot incidents were also impacting staff resources across multiple departments.
About The Customer
Scoot Airlines is the low-cost arm of the Singapore Airlines Group. It has carried over fifty million guests to 63 destinations across 17 countries. Scoot was voted 2015, 2016 and 2017 Best Low Cost Airline (Asia/ Pacific) by AirlineRatings.com and ranked in the Top 10 of the World’s Best Low-Cost Airlines in 2015 by Skytrax. Scoot uses Navitaire’s hosted passenger service system, an end-to-end passenger experience that starts with buying a ticket to getting a seat change, a boarding pass, all the way to tracking who’s sitting in each seat on the actual flight.
The Solution
Scoot Airlines turned to Imperva Bot Management to address the bot traffic issue. Imperva was chosen over other solutions like Akamai Bot Manager due to its proactive approach to stopping bots and its experienced analyst team. The deployment of Imperva on AWS took less than two weeks, including matching it to the company’s AWS footprint. Imperva’s machine learning capabilities were used to fight the bots in a way that Scoot’s team could not keep up with. The next phase of the solution involved working with Imperva to block bots from scraping their partners’ sites via their API and block bots using their mobile app emulating mobile devices. As Scoot introduced its frequent flyer loyalty program, they used Imperva to take precautions against bad actors trying to hack their login page.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
Case Study
Airbus Soars with Wearable Technology
Building an Airbus aircraft involves complex manufacturing processes consisting of thousands of moving parts. Speed and accuracy are critical to business and competitive advantage. Improvements in both would have high impact on Airbus’ bottom line. Airbus wanted to help operators reduce the complexity of assembling cabin seats and decrease the time required to complete this task.
