Case Study: Scoot Airlines achieves 80% faster site speed and blocks 30% more bad bots with Imperva Bot Management

Scoot Airlines Safeguards Passenger-facing Systems

Scoot Airlines, the low-cost arm of the Singapore Airlines Group serving 63 destinations and over 50 million guests, faced severe bot abuse of its booking engine and APIs. Sophisticated web scrapers and unauthorized OTAs—often coming through partner credentials—flooded systems, skewed look-to-book ratios, caused site slowdowns and check-in delays, and forced staff to spend extra hours mitigating incidents.

Scoot deployed Imperva Bot Management on AWS in under two weeks and used its managed analyst service and machine learning to proactively block bots. The solution stopped 30% more bad bots than competitors, cut response times by 80%, reduced screen-scraping and look-to-book noise, lowered customer complaints, freed team resources, and increased legitimate bookings.

Scoot

Jason Chin

Vice President IT