AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

H&M Group Data, Technology Stack, and Enterprise Applications
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Benify Legacy Benify Benefits Benefits Administration HCM n/a 2017 2017
Core HR HCM 2020 2020
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.
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.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2017 2017
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Asset Management Content Management 2019 2019
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Experience CRM 2018 2018
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Governance, Risk and Compliance TRM 2021 2021
Governance, Risk and Compliance TRM 2021 2021
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2016 2016
Application Hosting and Computing Services IaaS 2017 2017
Content Delivery Network IaaS 2018 2018
IT Decision Makers and Key Stakeholders at H&M Group
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by H&M Group Executives
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.