Roethenbach a.d. Pegnitz, 90552,
Germany
dasPAUL Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by dasPAUL and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 75 dasPAUL employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that dasPAUL has purchased the following applications: Hetzner for Application Hosting and Computing Services in 2016, New Relic APM for Application Performance Management in 2020, DialogShift AI for Chatbots and Conversational AI in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems dasPAUL is running and its propensity to invest more and deepen its relationship with Hetzner , Amazon Web Services (AWS) , New Relic 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 dasPAUL revenues, which have grown to $9.0 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 dasPAUL 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.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Hetzner | Legacy | Hetzner | Application Hosting and Computing Services | IaaS | n/a | 2016 | 2016 | ||
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| New Relic | Legacy | New Relic APM | Application Performance Management | ITSM | n/a | 2020 | 2020 | ||
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Application Performance Management | ITSM |
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2020 | 2020 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| DialogShift | Legacy | DialogShift AI | Chatbots and Conversational AI | AI-Powered Application | n/a | 2025 | 2025 | In 2025 dasPAUL implemented DialogShift AI on its public website to provide conversational customer interactions. DialogShift AI is deployed as a web-embedded assistant aligned with the Chatbots and Conversational AI category and serves as the primary customer-facing conversational layer on dasPAUL.com. The implementation configures DialogShift AI to deliver multi-step conversational flows, intent recognition and FAQ automation, consistent with Chatbots and Conversational AI functional patterns. Core capabilities implemented include guided booking assistance for reservations, information routing for opening hours and services, and structured lead capture through conversational forms. DialogShift AI's conversation design emphasizes slot collection and response templating to standardize customer interactions. Integration scope is limited to dasPAUL's public website, where the chatbot is embedded across key service and booking pages. Operational coverage targets customer service and reservations functions, with conversational escalations routed into dasPAUL's existing front-desk and operations workflows for manual follow up. The deployment architecture is a cloud-hosted conversational runtime serving the website client, with configuration managed through DialogShift AI's administrative console. Governance is handled through centralized conversational content ownership, with marketing responsible for copy and operations overseeing booking logic and escalation rules. Rollout followed a phased content staging approach with iterative updates to intents and response templates, and routine review cycles to refine conversation flows. Training and monitoring rely on dialog transcripts and administrative tuning within DialogShift AI to maintain accuracy and conversational coverage. |
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Collaboration | Collaboration |
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2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Customer Experience | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Tag Management | CRM |
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2020 | 2020 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Governance, Risk and Compliance | TRM |
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2024 | 2024 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Hotel Property Management | ERP Services and Operations |
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2024 | 2024 |
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Reservation and Booking Management | ERP Services and Operations |
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2020 | 2020 |
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Reservation and Booking Management | ERP Services and Operations |
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2024 | 2024 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2021 | 2021 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||