Ueberlingen, 88662,
Germany
Parkhotel St. Leonhard Germany Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Parkhotel St. Leonhard Germany and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 160 Parkhotel St. Leonhard Germany employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Parkhotel St. Leonhard Germany has purchased the following applications: Valsoft Seekda for Hotel Property Management in 2024, DialogShift AI for Chatbots and Conversational AI in 2025, Google Conversion Tracking for Marketing Analytics 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 Parkhotel St. Leonhard Germany is running and its propensity to invest more and deepen its relationship with Valsoft Corporation , DialogShift , Google 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 Parkhotel St. Leonhard Germany 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 Parkhotel St. Leonhard Germany 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.
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Valsoft Corporation | Legacy | Valsoft Seekda | Hotel Property Management | ERP Services and Operations | n/a | 2024 | 2024 |
In 2024, Parkhotel St. Leonhard in Germany implemented Valsoft Seekda to modernize its guest booking experience and increase direct bookings. The deployment is framed as a Hotel Property Management initiative focused on a new booking route that simplifies the guest-facing reservation flow, as described in the April 3, 2024 case study.
The implementation emphasizes the Seekda booking engine and KUBE functionality inferred from the case study, with configuration centered on a streamlined booking route and enhanced booking widget presentation. Functional capabilities implemented include the guest booking engine, direct-booking routing logic, and booking flow optimization to present rates and availability in a more appealing interface.
Operational coverage targeted reservations and front desk workflows across the hotel, aligning the Valsoft Seekda Hotel Property Management application with revenue capture and guest acquisition channels. Governance changes centered on centralizing the direct-booking route and updating reservation handling procedures, and the hotel reported a simpler, more appealing booking process alongside improved direct-booking outcomes.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| DialogShift | Legacy | DialogShift AI | Chatbots and Conversational AI | AI-Powered Application | n/a | 2025 | 2025 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Conversion Tracking | Marketing Analytics | CRM | n/a | 2022 | 2022 |
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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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2025 | 2025 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Cloud Storage | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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