H&M Group
H&M Group Technographics
H&M Group Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by H&M Group and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 140000 H&M Group employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that H&M Group has purchased the following applications: Benify Benefits for Benefits Administration in 2017, Splunk Business Flow for Process Mining in 2018, Lectra TextileGenesis Platform for Blockchain Platform in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems H&M Group is running and its propensity to invest more and deepen its relationship with Benify , SAP , Splunk 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 H&M Group revenues, which have grown to $24.66 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 H&M Group 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.
H&M Group Tech Stack and Enterprise Applications
H&M Group HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Benify | Legacy | Benify Benefits | Benefits Administration | HCM | n/a | 2017 | 2017 |
In 2017 H&M Group implemented Benify Benefits as its Benefits Administration platform. The deployment focused on centralizing benefits enrollment, benefits catalog configuration, life event processing, and benefits-related payroll interfacing across HR, payroll and finance functions.
Benify Benefits was configured to support standard Benefits Administration capabilities including employee enrollment workflows, eligibility rules, contribution calculations, and reporting for compliance and payroll reconciliation. Configuration work referenced category-aligned modules for payroll interface mapping, wage code alignment, invoice handling, and management reporting to support ongoing benefits operations.
Operational integration included payroll system interfaces and accounting system connections to synchronize wage codes and invoice recipients. Benify transaction teams used Excel based control models and QlikView analytics to control and reconcile invoices and to audit payroll reports, practices that were applied to clients including H&M. Project managers coordinated client onboarding activities, controlling wage codes, payroll system mappings, accounting system recipients and invoice routing during launch.
Governance and operational controls were anchored in structured testing and audit routines, with transaction analysts creating and updating Excel models and macros to support control and testing procedures and to reduce time on monthly tasks for client files. Benify teams performed audit and review work with external advisors and clients including PWC, BCG, IKEA, H&M and AstraZeneca to verify payroll reports and invoices as part of the benefits administration control environment.
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Core HR | HCM |
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2020 | 2020 |
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H&M Group Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Splunk | Legacy | Splunk Business Flow | Process Mining | Analytics and BI | n/a | 2018 | 2018 |
In 2018, H&M Group implemented Splunk Business Flow to introduce an end to end Process Mining capability for its New Purchase Program and Plan Quantity Flow. The deployment focused on instrumenting automated order creation chains where planning lead times of three to six months required visibility across multiple systems, and where the business lacked a high level way to measure lead time reductions before broader rollout.
The solution architecture centered on an end to end monitoring approach built on Splunk Business Flow and Splunk ITSI constructs, with explicit use of fields, extractions, events, lookups, workflow actions and aliases to normalize and model event streams. Technical workstreams included data extraction, classification and enrichment, data model design, and creation of bespoke metrics, reports and dashboards, supported by Python scripting and SQL for data transformation and analytics. Proactive alerting and SLA/KPI tracking were implemented as part of the operational monitoring layer to enable daily surveillance of flow health.
Integrations implemented as part of the program included ServiceNow, Power BI, Azure Monitor, and orchestration components using Logic Apps and AI driven data analytics, in addition to extensive Splunk platform integrations noted above. Operational coverage was explicitly the New Purchase Program and Plan Quantity Flow, with the Operational Area Responsible and product team using the Business Dashboard as the single pane for monitoring before considering expansion to larger sections and departments.
Governance and process changes were formalized through a single point of contact role for Business Flow Monitoring who guided the product team and operations on where to focus improvements, how to operationalize a detective mindset, and how to use tool and technology stacks in daily ways of working. Responsibilities included extracting data, building and following up on KPIs and SLAs, maintaining dashboards, and evolving detection logic and workflow actions to support proactive operations.
Outcomes documented by the program included a simplified measurement approach devised to help the business understand end to end flow performance, and adoption of the Splunk Business Flow Business Dashboard for daily operations, with business stakeholders reporting that they could observe overall progress on the flow. The implementation addressed the initial difficulty in mapping the full flow by enabling structured monitoring and metric driven follow up.
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H&M Group Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Lectra | Legacy | Lectra TextileGenesis Platform | Blockchain Platform | Blockchain | n/a | 2022 | 2022 |
In 2022 H&M Group implemented the Lectra TextileGenesis Platform, a Blockchain Platform, to formalize fibre to garment provenance across its supply chain. The deployment is led by H&M Group Business Tech, with Business Expert Merel Krebbers cited as a program sponsor, building on an exploratory partnership that started in 2020 and scaled through pilots in 2021.
The Lectra TextileGenesis Platform was configured to capture immutable provenance events and supply chain stamps that act as a digital passport for each garment, tracing sustainable fibres from source to finished product. Functional capabilities emphasized include fibre level traceability data capture, event ledgering for verification of sustainable inputs, and the publication of provenance records to support transparency and verification workflows.
Operational coverage described in the implementation narrative spans upstream value chain partners such as farms and mills through to processing plants and garment factories, reflecting an intent to log locations and process steps at each touchpoint. The technical approach centers on blockchain ledger constructs and standardized event capture, enabling the H&M Group team to aggregate partner submissions and explore real time traceability at scale while preserving provenance integrity.
Governance and rollout practices are managed by the Business Tech team, using iterative pilots to gather partner feedback and refine tooling, data capture templates, and participant onboarding procedures. The program emphasizes cross industry collaboration to reduce fragmentation and duplication, and aims to support H&M Group sustainability and circularity objectives while testing practical scalability of Blockchain Platform capabilities across complex supplier networks.
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H&M Group Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2017 | 2017 |
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H&M Group Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Asset Management | Content Management |
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2019 | 2019 |
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H&M Group CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2018 | 2018 |
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H&M Group TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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H&M Group 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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2016 | 2016 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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IT Decision Makers and Key Stakeholders at H&M Group
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by H&M Group Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from H&M Group IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the H&M Group digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
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FAQ - APPS RUN THE WORLD H&M Group Technographics
H&M Group is a Retail organization based in Sweden,
with around 140000 employees and annual revenues of $24.66 billion.
H&M Group operates a diverse technology stack with applications such as
Benify Benefits, Splunk Business Flow and Lectra TextileGenesis Platform,
covering areas like Benefits Administration, Process Mining and Blockchain Platform.
H&M Group has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Benify, Splunk and Lectra.
H&M Group recently adopted applications including
Lectra TextileGenesis Platform in 2022, OneTrust Cookie Consent in 2021 and OneTrust CookiePro in 2021,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of H&M Group’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates H&M Group’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 H&M Group technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.