Majid Al Futtaim
Tower 1, 10th Floor, City Centre Deira Complex,
Dubai, x,
United Arab Emirates
Dubai, x,
United Arab Emirates
971 4 294 9999
Retail
Majid Al Futtaim Technographics
Majid Al Futtaim Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Majid Al Futtaim and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 48000 Majid Al Futtaim employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Majid Al Futtaim has purchased the following applications: SAP S/4 HANA for ERP Financial in 2021, Oracle Cloud HCM for Core HR in 2015, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Majid Al Futtaim is running and its propensity to invest more and deepen its relationship with SAP , Oracle , Microsoft 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 Majid Al Futtaim revenues, which have grown to $6.81 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 Majid Al Futtaim 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.
Majid Al Futtaim Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP S/4 HANA | ERP Financial | ERP Financial Management | n/a | 2021 | 2021 |
In 2021, Majid Al Futtaim implemented SAP S/4 HANA as the group core ERP Financial platform. The deployment positioned SAP S/4 HANA to centralize finance and accounting processes across the group while underpinning a broader finance transformation program.
SAP S/4 HANA was configured to support standard ERP Financial capabilities including general ledger, accounts payable, accounts receivable, fixed asset accounting, intercompany accounting, financial close orchestration, and consolidated financial reporting. The implementation emphasized financial master data harmonization, chart of accounts standardization, and controls for statutory reporting and tax compliance, reflecting typical ERP Financial functional workflows.
Integrations and operational coverage were defined at the group level, with Properties and Holding Operating Companies running an interim Oracle Fusion implementation that was explicitly accounted for in integration planning. Governance was led by an ERP Director who was accountable for the group wide transformation and the interim Oracle Fusion arrangement, with program governance structured to coordinate finance, treasury, and corporate accounting functions across operating companies and align rollout sequencing with the central finance organization.
|
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Cloud HCM | Core HR | HCM | n/a | 2015 | 2016 |
In 2015 Majid Al Futtaim implemented Oracle Cloud HCM as its Core HR application to centralize HR and talent workflows. The program directed end-to-end implementations of Fusion Cloud modules for Core HR, goal management, performance management and compensation management, alongside Taleo EE for sourcing, recruiting and onboarding, with PaaS used to support the overall deployment.
Oracle Cloud HCM was configured to deliver core HR services and talent management capabilities, while Taleo EE handled sourcing, recruit and onboarding workflows. The PaaS layer was used to orchestrate integrations and automate data flows between functional modules, aligning HR process automation with workforce management requirements.
Architectural work focused on inbound and outbound integrations that maximized the flow of data between on-premise and cloud based systems. The program streamlined integrations with Oracle HRMS, Payroll and SS, mitigating important integration risks by implementing PaaS mediated orchestration and consistent interface patterns to preserve data integrity across HR, talent acquisition and payroll systems.
Operational governance established ownership of inbound and outbound interfaces and formalized testing and rollout controls to limit integration failure points during deployment. The implementation sustained enterprise scale HR operations supporting Majid Al Futtaims workforce of 48,000 employees, with governance and interface controls designed to maintain ongoing data synchronization between the different systems.
|
|
|
|
|
Core HR | HCM |
|
2013 | 2014 |
|
|
|
|
|
Payroll | HCM |
|
2013 | 2014 |
|
|
|
|
|
Performance and Goal Management | HCM |
|
2013 | 2014 |
|
|
|
|
|
Recruiting, Applicant Tracking System | HCM |
|
2018 | 2018 |
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2016 | 2016 |
In 2016 Majid Al Futtaim began using Microsoft Azure Machine Learning to advance analytics capability within its retail and cinema businesses, positioning the initiative inside the ML and Data Science Platforms category. The initial objective articulated by team members was to move beyond descriptive and proactive insights toward predictive analytics that anticipate customer spend and operational thresholds in high-traffic environments.
The Microsoft Azure Machine Learning deployment focuses on standard ML and data science workflows including data preparation, feature engineering, model training and versioned model deployment for operational scoring. Microsoft Azure Machine Learning is used to build and iterate predictive models that can be operationalized for both batch scoring and closer to real-time inference, supporting experiments and model lifecycle management consistent with enterprise ML practices.
Data inputs described by stakeholders include attendance counts, ticketing events and concession transaction streams, which are ingested into centralized data pipelines for model feature construction and scoring. The implementation links predictive models to downstream reporting and decision systems so that forecasts about customer spend and queue tolerance can be surfaced to merchandising, cinema operations and guest experience teams.
Governance and rollout emphasize staged adoption with pilot projects at consumer-facing sites before wider operationalization, and an explicit shift in analytics governance toward model validation, experiment tracking and decision thresholds. Stakeholders expect Microsoft Azure Machine Learning to enable more granular business signals, for example predicting how long a line must be at the concession stand before patrons move away, and to feed those predictions into operational workflows for the relevant business functions.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Audio Video and Web Conferencing | Collaboration |
|
2017 | 2017 |
|
|
|
|
|
Collaboration | Collaboration |
|
2016 | 2016 |
|
eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
eCommerce | eCommerce |
|
2017 | 2017 |
|
SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Order Management | SCM |
|
2019 | 2020 |
|
|
|
|
|
Order Management | SCM |
|
2021 | 2021 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Customer Data Platform | CRM |
|
2010 | 2010 |
|
|
|
|
|
Customer Experience | CRM |
|
2018 | 2018 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2010 | 2010 |
|
|
|
|
|
Sales Automation, CRM, Sales Engagement | CRM |
|
2021 | 2021 |
|
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Performance Management | ITSM |
|
2020 | 2020 |
|
TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Treasury Management | TRM |
|
2014 | 2014 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2020 | 2020 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2016 | 2016 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2020 | 2020 |
|
IT Decision Makers and Key Stakeholders at Majid Al Futtaim
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Majid Al Futtaim Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Majid Al Futtaim Technographics
Majid Al Futtaim is a Retail organization based in United Arab Emirates,
with around 48000 employees and annual revenues of $6.81 billion.
Majid Al Futtaim operates a diverse technology stack with applications such as
SAP S/4 HANA, Oracle Cloud HCM and Microsoft Azure Machine Learning,
covering areas like ERP Financial, Core HR and ML and Data Science Platforms.
Majid Al Futtaim has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as SAP, Oracle and Microsoft.
Majid Al Futtaim recently adopted applications including
SAP S/4 HANA in 2021, takeoff eGrocery in 2021 and Salesforce Sales Cloud in 2021,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Majid Al Futtaim’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Majid Al Futtaim’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Majid Al Futtaim technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.