Budapest, 1095,
Hungary
Praktiker Hungary Technographics
Praktiker Hungary Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Praktiker Hungary and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1600 Praktiker Hungary employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Praktiker Hungary has purchased the following applications: PayPal Enterprise for Payment Processing in 2018, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2017, Prefixbox AI Search for Natural Language Processing in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Praktiker Hungary is running and its propensity to invest more and deepen its relationship with PayPal , Visa , 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 Praktiker Hungary revenues, which have grown to $161.0 million 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 Praktiker Hungary 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.
Praktiker Hungary Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| PayPal | Legacy | PayPal Enterprise | Payment Processing | ERP Financial Management | n/a | 2018 | 2018 |
In 2018, Praktiker Hungary implemented PayPal Enterprise to handle online payments on its customer-facing website. PayPal Enterprise functions as the Payment Processing platform that supports checkout authorization, capture, and settlement for the retailer's e-commerce flows.
The implementation centers on web storefront integration, using hosted checkout and client-side tokenization combined with server-side transaction processing. Functional capabilities in use align with common Payment Processing modules, including payment method selection, authorization and capture workflows, currency routing, and platform-provided fraud screening and dispute management features.
Operational ownership is concentrated in the e-commerce and payments teams, with direct impact on online sales, order management, and customer service processes. The deployment is scoped to the Praktiker Hungary website and is configured to support live transaction processing and reconciliation within the retailer's existing order and fulfillment workflows.
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Payment Processing | ERP Financial Management |
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2016 | 2016 |
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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 | Prefixbox | 2017 | 2018 |
In 2017, Praktiker Hungary implemented Microsoft Azure Machine Learning to accelerate online sales through predictive analytics and personalization. The deployment used Microsoft Azure Machine Learning within the ML and Data Science Platforms category to build and operationalize models supporting the retailer's e-commerce channel.
The implementation focused on core model lifecycle capabilities in Microsoft Azure Machine Learning, including experiment tracking, model training and automated model selection, pipeline orchestration, and production scoring endpoints. Teams established reusable training pipelines and model versioning to standardize how predictive models are promoted from development to production.
Deployment was provisioned on the Microsoft Azure cloud and delivered in collaboration with systems integrator Prefixbox. Operational scope covered e-commerce, merchandising, marketing and a central analytics function in Hungary, with model outputs feeding personalization, product recommendation and pricing workflows in the online storefront.
Governance and rollout emphasized model validation, deployment gating and runtime monitoring to manage inference quality and operational risk. The stated business objective was to spur online sales by embedding Microsoft Azure Machine Learning driven predictions into merchandising and campaign orchestration processes.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Prefixbox | Legacy | Prefixbox AI Search | Natural Language Processing | AI-Powered Application | n/a | 2024 | 2024 |
In 2024, Praktiker Hungary conducted an A/B test deploying Prefixbox AI Search, classified as Natural Language Processing, on its Hungarian e-commerce site to improve product discovery and reduce zero-result searches. The experiment routed a portion of live traffic to Prefixbox AI Search while a control cohort used the site existing search, enabling direct measurement of commercial and behavioral impacts.
The implementation leveraged Prefixbox AI Search as a hybrid vector plus keyword search engine, combining semantic vector embeddings with lexical keyword matching to surface relevant SKUs and reduce no-result queries. Functional capabilities implemented included semantic query understanding, hybrid ranking that blended vector similarity and keyword relevance, and search relevancy tuning suited to Hungarian language queries. Instrumentation for A/B testing and analytics was used to capture conversion and order value signals.
The test group using Prefixbox AI Search produced a 25.7% revenue uplift and a 25.4% increase in average order value versus the control group in Hungary. The deployment targeted the online commerce channel and informed e-commerce merchandising and revenue operations through controlled experiment governance and measured cohort analysis. Prefixbox AI Search and the Natural Language Processing approach provided evidence to guide further rollout decisions within Praktiker Hungary.
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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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2022 | 2022 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2016 | 2016 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Content Management | Content Management |
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2024 | 2024 |
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Web Content Management | Content Management |
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2019 | 2019 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Personalization and Product Recommendations | eCommerce |
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2017 | 2017 |
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Personalization and Product Recommendations | eCommerce |
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2017 | 2017 |
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Personalization and Product Recommendations | eCommerce |
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2018 | 2018 |
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CRM
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2023 | 2023 |
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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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2020 | 2020 |
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Governance, Risk and Compliance | TRM |
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2023 | 2023 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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API Management | PaaS |
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2019 | 2019 |
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Apps Development | PaaS |
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2011 | 2011 |
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Apps Development | PaaS |
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2021 | 2021 |
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Test Automation Platform | PaaS |
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2024 | 2024 |
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Transactional Email | PaaS |
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2019 | 2019 |
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Transactional Email | PaaS |
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2016 | 2016 |
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Transactional Email | PaaS |
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2023 | 2023 |
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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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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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Domain Name System (DNS) | IaaS |
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2016 | 2016 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Security (AppSec) | CyberSecurity |
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2018 | 2018 |
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Identity and Access Management (IAM) | CyberSecurity |
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2017 | 2017 |
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Identity and Access Management (IAM) | CyberSecurity |
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2023 | 2023 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2016 | 2016 |
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Secure Sockets Layer (SSL) | CyberSecurity |
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2016 | 2016 |
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IT Decision Makers and Key Stakeholders at Praktiker Hungary
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
Apps Being Evaluated by Praktiker Hungary Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||