Bauhaus Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Bauhaus and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 17000 Bauhaus employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Bauhaus has purchased the following applications: Zendesk Explore for Analytics and BI in 2021, Amazon EC2 for Application Hosting and Computing Services in 2020, Zendesk Chat for Chatbots and Conversational AI 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 Bauhaus is running and its propensity to invest more and deepen its relationship with Zendesk , Amazon Web Services (AWS) , Contentsquare 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 Bauhaus revenues, which have grown to $3.50 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 Bauhaus 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.
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zendesk | Legacy | Zendesk Explore | Analytics and BI | Analytics and BI | n/a | 2021 | 2021 |
In 2021 Bauhaus implemented Zendesk Explore to centralize analytics for its customer service operations, using the Analytics and BI application to surface real-time performance data for the contact center. The deployment built on a contact center established in 2017, which centralized post-sales and store-facing customer relations from 11 brick-and-mortar locations in Spain and the companys online channel, aligning reporting across stores and the central service desk.
Zendesk Explore was configured to report across key Zendesk modules including Guide, Answer Bot, live chat, and the WhatsApp channel, providing dashboards and operational metrics used by contact center managers. Functional capabilities implemented include real-time dashboards, ticket and channel analytics, agent productivity metrics such as messages handled per hour, and customer satisfaction reporting, with explicit metrics surfaced in Explore including 92,000 WhatsApp tickets, average handling of 39 WhatsApp messages per hour versus 29 by email, 61 percent one-touch tickets, and 96 percent chat CSAT.
The implementation covered omnichannel operational scope across the contact center, post-sales store teams and the online marketing function, and it preserved traceability from customer interactions to the help center content. The team linked Guide and Answer Bot content to the public website to accelerate self-service, and the organization expressed an intent to integrate Zendesk Explore data with the Hybris commerce system to surface order and purchase context directly within tickets.
Governance and workflow changes accompanied the analytics rollout, with managers instituting regular reviews of chat transcripts to update help center content and routing rules, and an IVR prompt nudging callers toward chat and WhatsApp channels to rebalance load away from phone. The contact center also introduced an AI-powered chat bot to triage recurring inquiries, reducing agent chat volumes and embedding Explore dashboards into workforce planning and peak time management.
Reporting and analytics from Zendesk Explore were cited as the primary enabler for operational decisions, enabling managers to identify peak call times and adjust resourcing, and the organization planned a further rollout of Zendesk voice to complete omnichannel coverage. The narrative centers Bauhaus Zendesk Explore Analytics and BI contact center integration as the foundation for standardized customer service, with explicit operational metrics and a stated roadmap for deeper commerce integration.
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2020 | 2020 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zendesk | Legacy | Zendesk Chat | Chatbots and Conversational AI | AI-Powered Application | 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 Support | CRM |
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2021 | 2021 |
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Customer Support | CRM |
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2021 | 2021 |
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Customer Support | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2016 | 2016 |
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