KLM Royal Dutch Airlines Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by KLM Royal Dutch Airlines and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 21670 KLM Royal Dutch Airlines employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that KLM Royal Dutch Airlines has purchased the following applications: Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2014, DimML for Apps Development in 2018, DigitalGenius AI Platform for Chatbots and Conversational AI in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems KLM Royal Dutch Airlines is running and its propensity to invest more and deepen its relationship with Microsoft , Insite Innovations and Properties , DigitalGenius or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing KLM Royal Dutch Airlines revenues, which have grown to $13.96 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for KLM Royal Dutch Airlines intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2014 | 2014 | ||
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Content Delivery Network | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Insite Innovations and Properties | Legacy | DimML | Apps Development | PaaS | n/a | 2018 | 2018 | In 2018, KLM Royal Dutch Airlines implemented DimML on its website. The deployment used DimML as a web-focused development and delivery layer within the airline's public web domain, leveraging the application for model-driven markup and runtime rendering to support customer-facing pages. The implementation situates DimML in the Apps Development toolchain to standardize declarative UI composition and front-end artifact delivery. DimML provides capabilities aligned with Apps Development such as declarative component definitions, template-driven rendering, and client-side runtime orchestration, which were applied by KLM's web development and digital engineering teams. Operational scope includes the KLM website and adjacent digital channels where content staging, version control, and release coordination are core governance activities across development, web operations, and digital marketing. The integration pattern centers on embedding DimML artifacts into the front-end build and runtime delivery pipeline to unify development workflows and reduce custom front-end engineering overhead. | |
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Operating System (OS) | PaaS |
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2014 | 2014 |
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Transactional Email | PaaS |
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2019 | 2019 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| DigitalGenius | Legacy | DigitalGenius AI Platform | Chatbots and Conversational AI | AI-Powered Application | x | 2017 | 2018 | In 2017, KLM Royal Dutch Airlines deployed the DigitalGenius AI Platform to augment customer service workflows for social media and contact channels. The deployment addressed conversational automation under the Chatbots and Conversational AI category, with explicit focus on improving response timeliness, correctness, and personalization during high-volume events such as heavy snowfall. The implementation emphasized AI-driven capabilities typical for Chatbots and Conversational AI, including intent classification, automated response generation, entity extraction, confidence scoring, and agent-assist suggestion workflows. DigitalGenius AI Platform was configured with conversation templates, escalation triggers, and inline suggestion delivery to enable synchronous handoff between automated replies and human agents while preserving message quality. Integrations centered on social media channels and KLM service agent interfaces, enabling automated triage of inbound social messages and delivery of contextual recommendations into agent workflows. Operational scope targeted the customer service organization, orchestrating channel routing and prioritization to support surge handling and maintain consistent customer communication. Governance and rollout used a human-in-the-loop model with supervised agent cohorts and rules-based escalation to ensure accuracy and personalization. The stated objective was to support service agents with AI so KLM could answer many more questions in a shorter period of time while keeping conversations timely, correct, and personal. | |
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Chatbots and Conversational AI | AI-Powered Application |
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2016 | 2016 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Content Management | Content Management |
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2011 | 2011 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2011 | 2011 |
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Marketing Analytics | CRM |
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2018 | 2018 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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ERP Financial | ERP Financial Management |
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2018 | 2019 |
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Expense Management | ERP Financial Management |
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2007 | 2007 |
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EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Financial Consolidation and Close | EPM |
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2016 | 2016 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Treasury Management | TRM |
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2016 | 2016 |
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