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KLM - Book a flight

KLM - Book a flight

KLM Koninklijke Luchtvaart Maatschappij N.V.

Travel免费v16.9.0
App Store
评分

4.8

44,910 条评分

星级

★★★★★

最近更新

2026年4月27日

发布日期

2010年9月17日

更新内容

v16.9.0

Your boarding pass got a fresh look! Cleaner, clearer, and easier to scan. And there's more you'll like. You can now check the seat map right when you choose your flight. No more surprises. This update also includes bug fixes and performance improvements. Are you having trouble? Please take a minute to share your feedback. Thanks for using the app!

应用信息

开发者
KLM Koninklijke Luchtvaart Maatschappij N.V.
分类
Travel
价格
免费
版本
16.9.0
App ID
391732065

简介

Your journey with us starts when you open the KLM app. With this pocket-sized travel assistant, you can book a ticket, customise your booking, check in and get real-time flight updates. Everything required for a smooth trip is at your fingertips! BOOK A FLIGHT Select one of our many destinations and book your ticket. To save time on future bookings, add your contact information to your profile. Next time, we’ll pre-fill your details. MANAGE YOUR TRIP View the pre-travel checklist and adjust your booking at any time until check-in. Lounge access or extra legroom? Enhance your travel experience yourself with just a few taps. GET YOUR BOARDING PASS Travel with peace of mind – no need to print out your travel documents or wait in line at a check-in desk. Get your boarding pass directly in the app or add it to your Wallet. It’s so easy! YOUR FLYING BLUE ACCOUNT Check your Miles balance, book a reward ticket, modify your profile, or access your digital Flying Blue card in your personal dashboard. STAY UP TO DATE Turn on your notifications for real-time updates like gate changes and check-in times, and receive exclusive offers. Share your flight status to stay in touch with those on the ground. They’ll be happy to know you landed safely and sound.

下载量预测

专业 · 预览

预估总下载量

3.3M2.2M6.4M
保守估计乐观估计

12K

低 / 月

17K

预估 / 月

34K

高 / 月

基于44,910 条评分
假设评分率1.4%
应用年龄191 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。