Mercedes-Benz Brasil
Av. Mercedes-Benz, 679 Distrito Industrial,
Campinas, 13054-750, Sao Paulo,
Brazil
Campinas, 13054-750, Sao Paulo,
Brazil
55 19 3725-3374
Automotive
Mercedes-Benz Brasil Technographics
Mercedes-Benz Brasil Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Mercedes-Benz Brasil and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 90000 Mercedes-Benz Brasil employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Mercedes-Benz Brasil has purchased the following applications: SAP Concur Expense for Expense Management in 2017, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2018, Microsoft Power BI for Analytics and BI 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 Mercedes-Benz Brasil is running and its propensity to invest more and deepen its relationship with SAP , Microsoft , Adobe Systems 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 Mercedes-Benz Brasil revenues, which have grown to $6.50 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 Mercedes-Benz Brasil 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.
Mercedes-Benz Brasil Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Concur Expense | Expense Management | ERP Financial Management | n/a | 2017 | 2018 |
In 2017, Mercedes-Benz Brasil implemented SAP Concur Expense as its Expense Management application for travel and project-related expense workflows. The initiative was scoped to address the project management area and corporate travel expenses, and it was executed as a BPO project that incorporated outsourcing, volumetry analysis and a formal business case.
SAP Concur Expense was configured to support core Expense Management functionality, including expense report creation, travel expense processing, receipt capture, approval routing and policy enforcement. The implementation documentation references DTP Concur for travel expense data processing and volumetry, and functional workflows emphasized automated submission, multi-level approvals and centralized expense data capture to enable outsourced processing.
Operational coverage focused on project management and travel expense workflows across Mercedes-Benz Brasil, with the BPO engagement used to size transaction volumes and establish processing SLAs. Governance and process changes included defined process ownership, centralized expense policy controls and clear handoff procedures between internal teams and the BPO provider, with rollout sequencing that prioritized travel expenses and project-related claims.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2018 | 2018 |
In 2018, Mercedes-Benz Brasil implemented Microsoft Azure Machine Learning to analyze more than three decades of license plate records together with macroeconomic indicators, legislation, and regional sales information and statistics. Microsoft Azure Machine Learning is positioned as part of the companys ML and Data Science Platforms layer to support targeted offer generation and dealer network decisioning for sales and marketing.
The implementation centralizes data ingestion and model training workflows, combining historical vehicle movement data, structured regional sales feeds, and policy or legislative inputs. Core functional capabilities include feature engineering and scoring pipelines, segment and scenario mapping for verticals such as agriculture, construction, and mining, and automated offer recommendation generation that informs downstream dealer actions.
Operationally the solution ingests monthly dealer performance reports, absorbing that feedback to retrain and refine models so subsequent offers become more contextually appropriate. The deployment extends to 180 service locations across the country, making the platform part of regional commercial planning and dealer-level sales execution processes.
Governance is organized around a monthly reporting cadence where dealers submit results and the Azure Machine Learning implementation updates its models using those inputs, creating a closed learning loop. Outcomes described by Mercedes-Benz Brasil include more consistent information delivered to service locations, proactive sector-specific offer mapping, and an increasingly intelligent recommendation capability as the system consumes ongoing dealer feedback.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Power BI | Analytics and BI | Analytics and BI | n/a | 2018 | 2018 |
In 2018 Mercedes-Benz Brasil implemented Microsoft Power BI to support its Digital Transformation program, using the Microsoft Power BI platform to centralize reporting and to analyze outputs from artificial intelligence and machine learning initiatives. The deployment was positioned to meet Analytics and BI requirements across business intelligence, operational reporting, and model output analysis for manufacturing, supply chain and commercial functions within the Brazil organization.
The Microsoft Power BI implementation focused on standard Analytics and BI capabilities including interactive dashboards, self-service reporting, data modeling and visualization, scheduled report distribution, and role based access for governance. Configuration work emphasized dataset modeling and shared semantic layers so business users could consume machine learning results alongside operational metrics without direct access to underlying raw stores.
Integrations were centered on consuming model outputs from the companys machine learning systems and on connecting to operational data stores using Power BI connectors and data ingestion pipelines. Governance and rollout practices established a centralized report catalog, role based security and release controls to align analytics workflows with existing decision processes in manufacturing, supply chain and commercial teams.
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Analytics and BI | Analytics and BI |
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2018 | 2018 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2017 | 2017 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Asset Management | Content Management |
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2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Marketing Automation | CRM |
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2020 | 2020 |
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Tag Management | CRM |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2018 | 2018 |
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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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2021 | 2021 |
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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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2018 | 2018 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Mercedes-Benz Brasil
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Mercedes-Benz Brasil Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Mercedes-Benz Brasil Technographics
Mercedes-Benz Brasil is a Automotive organization based in Brazil,
with around 90000 employees and annual revenues of $6.50 billion.
Mercedes-Benz Brasil operates a diverse technology stack with applications such as
SAP Concur Expense, Microsoft Azure Machine Learning and Microsoft Power BI,
covering areas like Expense Management, ML and Data Science Platforms and Analytics and BI.
Mercedes-Benz Brasil has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as SAP and Microsoft.
Mercedes-Benz Brasil recently adopted applications including
Adobe Launch in 2021, Usercentrics Consent Management Platform (CMP) in 2021 and Adobe Experience Manager in 2020,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Mercedes-Benz Brasil’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Mercedes-Benz Brasil’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 Mercedes-Benz Brasil technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.