Marinha Grande, 2430-017,
Portugal
Vidromecanica Technographics
Vidromecanica Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Vidromecanica and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50 Vidromecanica employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Vidromecanica has purchased the following applications: Zendesk Chat for Chatbots and Conversational AI in 2016, Oracle Moat for Marketing Analytics in 2022, Comgest for Application Hosting and Computing Services in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Vidromecanica is running and its propensity to invest more and deepen its relationship with Zendesk , Oracle , 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 Vidromecanica revenues, which have grown to $7.0 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 Vidromecanica 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.
Vidromecanica Tech Stack and Enterprise Applications
Vidromecanica 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 | 2016 | 2016 |
In 2016, Vidromecanica implemented Zendesk Chat on its website. The deployment embedded the Zendesk Chat web widget into the corporate site, introducing a Chatbots and Conversational AI channel to capture real-time customer inquiries. This implementation establishes a web-based conversational interface for a 50 employee manufacturing company and centralizes website conversation entry points for customer engagement.
Zendesk Chat was configured to provide real-time messaging, visitor monitoring, canned responses, and chat transcript capture, enabling structured handoffs to email or phone workflows for order and support inquiries. Operational coverage focuses on front-line customer service and sales inquiry handling, with governance centered on chat routing rules and transcript retention configured within the application. The deployment positions Zendesk Chat as Vidromecanica Zendesk Chat customer communication platform in the Chatbots and Conversational AI category.
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Vidromecanica CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Moat | Marketing Analytics | CRM | n/a | 2022 | 2022 |
In 2022, Vidromecanica implemented Oracle Moat to instrument its corporate website for digital measurement and verification. The deployment targeted Marketing Analytics capabilities, with Oracle Moat configured to collect viewability and attention signals and to provide campaign verification across the company web estate. The implementation scope was concentrated on marketing and commercial functions within the 50 person manufacturing organization, sized to support ongoing web campaign measurement rather than enterprise advertising stacks.
Oracle Moat was embedded through site level tag deployment and standard measurement module configuration, leveraging viewability measurement, attention metrics, and invalid traffic identification consistent with Marketing Analytics workflows. Instrumentation was managed by the internal marketing team using tag management practices and configuration of reporting outputs for web pages and creative placements. Governance centered on marketing ownership of measurement rules and phased activation across the primary site pages, enabling continuous verification and standardized reporting from Oracle Moat.
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Tag Management | CRM |
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2022 | 2022 |
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Vidromecanica IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Comgest | Legacy | Comgest | Application Hosting and Computing Services | IaaS | n/a | 2020 | 2020 |
In 2020, Vidromecanica implemented Comgest as an Application Hosting and Computing Services solution to host and serve its corporate website. The Comgest application is referenced in the site source as the hosting layer for public web pages, providing application runtime and asset delivery for the manufacturer's online presence. This deployment situates Comgest within the Application Hosting and Computing Services category supporting external-facing marketing and customer engagement functions.
The implementation centralizes web hosting, content delivery, and compute for the corporate site of the Portugal-based, 50-employee manufacturing firm. Functional emphasis is on HTTP delivery, static and dynamic content hosting, and application orchestration typical of Application Hosting and Computing Services, supporting sales and marketing communications. Governance and operational ownership are aligned to website content management and uptime monitoring to maintain the public-facing site.
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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IT Decision Makers and Key Stakeholders at Vidromecanica
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Vidromecanica Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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