Tokyo, 140-8605,
Japan
Japan Airlines Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Japan Airlines and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 38433 Japan 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 Japan Airlines has purchased the following applications: SAP S/4 HANA for ERP Financial in 2023, IFS Cloud EAM for Enterprise Asset Management in 2025, IBM Watson Visual Recognition for Computer Vision in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Japan Airlines is running and its propensity to invest more and deepen its relationship with SAP , IFS , IBM 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 Japan Airlines revenues, which have grown to $12.31 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 Japan 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.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| SAP | SAP ERP ECC 6.0 | SAP S/4 HANA | ERP Financial | ERP Financial Management | Ibm | 2023 | 2024 |
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ERP Financial | ERP Financial Management |
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2020 | 2020 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IFS | Legacy | IFS Cloud EAM | Enterprise Asset Management | ERP Services and Operations | n/a | 2025 | 2025 |
In 2025 Japan Airlines initiated implementation of IFS Cloud EAM to modernize its aircraft maintenance management system and support global aviation maintenance operations. The project positions IFS Cloud EAM as the central Enterprise Asset Management platform for aircraft, engine, and component maintenance while aligning maintenance execution with corporate functions.
The implementation configures IFS Cloud for Aviation Maintenance capabilities including aircraft, engine and component maintenance workflows, spare parts inventory management, supply chain coordination, finance integration and project management within a unified Enterprise Asset Management context. The deployment emphasizes predictive maintenance, real time analytics and workflow automation features of the IFS Cloud platform, and leverages the platform's composable AI powered tooling to standardize maintenance processes and asset health monitoring.
An aviation maintenance specialist from IFS Aerospace and Defense is embedded onsite in Tokyo to work directly with Japan Airlines maintenance and IT teams, conducting a detailed operational alignment assessment. The program transitions JAL from on premise systems to a cloud based platform designed for scalability, with scope defined across maintenance operations and supporting corporate functions rather than a single point solution.
Governance and rollout planning focus on cross functional workflow restructuring between maintenance, supply chain and finance, and on operational alignment to achieve a full implementation goal. Japan Airlines intends that the IFS Cloud EAM deployment will enhance aircraft quality and operational availability as it scales, with the vendor and JAL teams conducting collaborative assessments to drive the phased roll out.
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Plant Maintenance | ERP Services and Operations |
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2025 | 2025 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Watson Visual Recognition | Computer Vision | AI-Powered Application | n/a | 2018 | 2018 |
In 2018, Japan Airlines integrated IBM Watson Visual Recognition into its Makana-chan conversational assistant. IBM Watson Visual Recognition, part of the Computer Vision category, analyzes customer photos to detect age, gender and other characteristics and refines travel recommendations through attribute extraction and profile enrichment.
The implementation configured IBM Watson Visual Recognition outputs to feed Makana-chan's recommendation engine, enabling mapping of visual attributes to tailored advice and content. IBM Watson Personality Insights is explicitly integrated to analyze customers' Facebook and Twitter posts when customers log in, assigning travelers to one of nine personality types that Makana-chan uses to adapt messaging and suggestions. Functional modules include image analysis, personality scoring, profile enrichment and recommendation orchestration.
Integration points center on customer login and conversational flows where social post ingestion and photo analysis occur in real time to update traveler profiles. The deployment architecture links IBM Watson Visual Recognition and IBM Watson Personality Insights into the Makana-chan digital assistant, enabling synchronous profile updates and recommendation adjustments during customer interactions. Operational scope is customer facing across Japan Airlines digital touchpoints and supports traveler engagement workflows.
Governance is organized around login triggered data capture and profile assignment, with personality and visual attributes mapped into the recommendation ruleset used by Makana-chan. The configuration allows Japan Airlines to combine visual and behavioral signals to deliver highly personalized recommendations and communications, a capability the airline cites as differentiating it from peers in Japan. Japan Airlines IBM Watson Visual Recognition Computer Vision supports customer experience, personalization and marketing functions through this integrated profile driven recommendation approach.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Analytics and BI | Analytics and BI |
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2023 | 2024 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2021 | 2021 |
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Collaboration | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2021 | 2021 |
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Collaboration | Collaboration |
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2022 | 2022 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2014 | 2014 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2014 | 2014 |
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Customer Experience | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2015 | 2015 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2021 | 2021 |
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IT Service Management | ITSM |
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2019 | 2019 |
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IT Service Management | ITSM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2025 | 2025 |
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Operating System (OS) | PaaS |
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2012 | 2013 |
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Robotic Process Automation | PaaS |
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2018 | 2018 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2024 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2018 | 2018 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2018 | 2018 |
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Secure Web Gateways (SWG) | CyberSecurity |
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2015 | 2015 |
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Professional Services
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Professional Services | Professional Services |
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2023 | 2023 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| Date | Company | Status | Vendor | Product | Category | Market |
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