Deutsche Telekom Germany
Deutsche Telekom Germany Technographics
Deutsche Telekom Germany Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Deutsche Telekom Germany and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 74550 Deutsche Telekom 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 Deutsche Telekom Germany has purchased the following applications: Avature Succession Planning for Succession and Leadership Planning in 2022, Qdrant for AI Database in 2024, USU Conversational Chatbot for Chatbots and Conversational AI in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Deutsche Telekom Germany is running and its propensity to invest more and deepen its relationship with Avature , ATOSS Software , Qdrant 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 Deutsche Telekom Germany revenues, which have grown to $27.75 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 Deutsche Telekom 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.
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Deutsche Telekom Germany Data, Technology Stack, and Enterprise Applications
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Avature | Legacy | Avature Succession Planning | Succession and Leadership Planning | HCM | n/a | 2022 | 2023 |
In 2022, Deutsche Telekom Germany implemented Avature Succession Planning within its Succession and Leadership Planning portfolio to establish an internal mobility and talent marketplace. The initiative targeted HR and internal mobility use cases in Europe and aimed to surface high potential employees to support structured succession conversations.
Deutsche Telekom configured Avature Succession Planning modules to deliver a centralized talent hub and stakeholder specific dashboards that support succession conversations and internal career movement. The implementation emphasized talent marketplace workflows and role matching logic, with dashboard driven stakeholder views designed to engage and upskill top talent and to initiate formal succession processes.
Operational coverage focused on HR teams responsible for internal mobility and succession across European units, and the vendor case study explicitly references module usage of Avature Succession Planning. Governance and process standardization were implemented around the centralized talent hub and stakeholder dashboards to create repeatable succession workflows and to align talent conversations with HR operating processes.
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Workforce Management | HCM |
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2009 | 2009 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Qdrant | Legacy | Qdrant | AI Database | AI Development | n/a | 2024 | 2024 |
In 2024 Deutsche Telekom integrated Qdrant, an AI Database, into LMOS to scale customer service AI agents across multiple European subsidiaries. The deployment positioned Qdrant as the vector store and similarity search layer supporting conversational agent retrieval and runtime data access for the multi-agent PaaS.
Qdrant was configured to serve high-throughput vector queries and persistent embedding storage, enabling rapid iteration of agent knowledge packs and content indexing. The implementation emphasized scalable vector indexing, similarity search, and low-latency retrieval to support concurrent agents and large conversation volumes.
Integration points centered on embedding Qdrant within LMOS multi-agent runtime workflows, routing retrieval requests from agent orchestration modules to the Qdrant cluster. Operational coverage spans Deutsche Telekom customer service use cases across multiple European subsidiaries, with Qdrant processing millions of conversations according to the case study.
The case study reports that Qdrant reduced agent development time from approximately 15 days to about 2 days, and that the platform was able to handle millions of conversations. Governance and rollout details were executed at the LMOS platform level to enable centralized access for agent teams and to standardize retrieval workflows for customer service AI agents.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| USU Solutions | Legacy | USU Conversational Chatbot | Chatbots and Conversational AI | AI-Powered Application | n/a | 2018 | 2018 |
In 2018 Deutsche Telekom Germany deployed the USU Conversational Chatbot in its customer service organization to automate post service satisfaction surveys and to triage follow ups. The deployment used the USU Unymira chatbot branded Horst together with USU Knowledge Connect to provide conversational automation and knowledge retrieval capabilities, aligning with the Chatbots and Conversational AI application category. Implementation focused on survey orchestration, conversational routing, escalation rules, and knowledge driven response handling to support follow up workflows and structured triage within contact center processes.
Horst was integrated with Telekom's social media channels and the broader service ecosystem in Germany to enable automated customer outreach and follow up triage inside customer service workflows. The USU Conversational Chatbot generated over 5,000 survey responses within months of launch and achieved about a 35% response rate versus typical email surveys at 3 to 5 percent, improving CRM and CSAT data capture. Operational coverage remained within Deutsche Telekom Germany customer service, with configuration emphasis on automated survey delivery, conversational triage, and knowledge connect enabled response management.
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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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2009 | 2010 |
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Blockchain Platform | Blockchain |
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2023 | 2023 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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PBX, VoiP and Phone Systems | Collaboration |
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2020 | 2020 |
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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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2023 | 2023 |
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Digital Signing | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Campaign Management | CRM |
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2023 | 2023 |
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Customer Engagement | CRM |
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2021 | 2021 |
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Digital Advertising Platform | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2014 | 2014 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CPaaS (Communication Platform as a Service) | PaaS |
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2021 | 2021 |
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Test Automation Platform | PaaS |
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2010 | 2010 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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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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Application Security (AppSec) | CyberSecurity |
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2010 | 2011 |
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Endpoint Detection and Response (EDR) | CyberSecurity |
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2025 | 2025 |
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IT Decision Makers and Key Stakeholders at Deutsche Telekom Germany
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Deutsche Telekom Germany Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||
FAQ - APPS RUN THE WORLD Deutsche Telekom Germany Technographics
Deutsche Telekom Germany is a Communications organization based in Germany,
with around 74550 employees and annual revenues of $27.75 billion.
Deutsche Telekom Germany operates a diverse technology stack with applications such as
Avature Succession Planning, Qdrant and USU Conversational Chatbot,
covering areas like Succession and Leadership Planning, AI Database and Chatbots and Conversational AI.
Deutsche Telekom Germany has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Avature, Qdrant and USU Solutions.
Deutsche Telekom Germany recently adopted applications including
Mondoo Security Posture Management in 2025, Qdrant in 2024 and Aleph Zero in 2023,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Deutsche Telekom Germany’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Deutsche Telekom Germany’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 Deutsche Telekom Germany technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.