Aalsmeer, 1431 GB,
Netherlands
Royal FloraHolland Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Royal FloraHolland and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2759 Royal FloraHolland employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Royal FloraHolland has purchased the following applications: Visma Raet Yourserve HR for Core HR in 2022, Amazon SageMaker for ML and Data Science Platforms in 2016, Algolia Search for Application, Web and Enterprise Search in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Royal FloraHolland is running and its propensity to invest more and deepen its relationship with Visma , Centric , UKG 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 Royal FloraHolland revenues, which have grown to $6.09 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 Royal FloraHolland 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Visma | Legacy | Visma Raet Yourserve HR | Core HR | HCM | n/a | 2022 | 2022 |
In 2022 Royal FloraHolland implemented Visma Raet Yourserve HR to digitalize HR operations in the Netherlands, initiating a selection and deployment activity documented by the vendor. The engagement focused on Core HR capability consolidation and the introduction of manager self-service to shift routine HR transactions to line managers and reduce administrative touchpoints for HR staff.
Visma Raet Yourserve HR was configured to include manager self-service and an HR Robotics layer to automate document generation and absence workflows, reflecting a move to automate record creation and case handling within the Core HR landscape. The implementation emphasized configuration of standard Core HR functional workflows, automation rules for absence processing, and template-driven document generation.
The rollout was positioned as an integrated YouServe HR Core landscape across Royal FloraHolland operations in the Netherlands, covering HR operations and manager-facing processes for a workforce of roughly 2,759 employees. Integrations are described at the landscape level in the vendor case study rather than as individual named systems, with the implementation designed to create a unified HR record and automated lifecycle events.
Governance and rollout prioritized embedding manager self-service and robotics-driven process controls into HR operations, aligning role-based access and workflow approvals with existing HR responsibilities. The vendor case study describes measurable time savings and improved HR efficiency as outcomes of the integrated YouServe HR Core landscape.
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Payroll | HCM |
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2011 | 2011 |
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Workforce Management | HCM |
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2014 | 2014 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon SageMaker | ML and Data Science Platforms | AI Development | Xebia | 2016 | 2017 |
In 2016, Royal FloraHolland engaged AWS and AWS Machine Learning Competency Partner Xebia to establish an internal data science program built on Amazon SageMaker. Royal FloraHolland implemented Amazon SageMaker within its ML and Data Science Platforms stack to begin developing production machine learning tooling and models for its flower distribution operations.
The implementation centered on creating model development and deployment pipelines in Amazon SageMaker, including training and serving workflows for a trolley prediction model, a deep learning image quality model, and a buyer recommendation engine. Functional capabilities implemented included model training, model hosting and inference endpoints, and automated model artifact management consistent with ML and Data Science Platforms practices.
The recommendation engine was integrated into the companys buyer-facing application to deliver personalized suggestions, and the deep learning image quality model was configured to provide feedback to growers through existing seller channels. Trolley prediction outputs were consumed as part of operational decision workflows for flower delivery planning and logistics scheduling.
Xebia supported the build out of internal governance and a data science operating model to enable in-house model development, review, and deployment, establishing roles and processes for model validation and feedback loops. The engagement emphasized embedding ML workflows into operational teams, specifically operations responsible for trolley logistics, growers focused on image quality, and buyer experience functions.
As stated by the company, the deployed Amazon SageMaker models improved trolley predictions to drive operational efficiencies, provided automated image quality feedback for growers reaching buyers through photos, and powered a recommendation engine used in the buyer application.
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Algolia | Legacy | Algolia Search | Application, Web and Enterprise Search | Content Management | n/a | 2021 | 2021 |
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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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2020 | 2020 |
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Customer Experience | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2016 | 2016 |
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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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Remote Monitoring and Management | ITSM |
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2021 | 2021 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Procurement | Procurement |
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2016 | 2016 |
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Supplier Relationship Management | Procurement |
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2016 | 2016 |
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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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2016 | 2016 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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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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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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