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Mercedes-Benz Research and Development North America Technographics
Mercedes-Benz Research and Development North America Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Mercedes-Benz Research and Development North America and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 500 Mercedes-Benz Research and Development North America 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 Research and Development North America has purchased the following applications: SAP ERP ECC 6.0 for ERP Financial in 2014, Lever by Employ for Applicant Tracking System in 2021, SoundHound Houndify AI Platform for Cognitive Computing 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 Research and Development North America is running and its propensity to invest more and deepen its relationship with SAP , Employ , Oracle 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 Research and Development North America revenues, which have grown to $100.0 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 Mercedes-Benz Research and Development North America 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 Research and Development North America Tech Stack and Enterprise Applications
Mercedes-Benz Research and Development North America ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP ERP ECC 6.0 | ERP Financial | ERP | n/a | 2014 | 2014 |
In 2014, Mercedes-Benz Research and Development North America implemented SAP ERP ECC 6.0 for ERP Financial. The deployment focused on procurement and purchasing workflows within the finance organization, consolidating requisition handling and vendor quotation processes into the SAP ERP ECC 6.0 environment. Implementation emphasized review of requisitions and specifications to obtain competitive quotations from vendors, aligning purchasing controls with the enterprise financial ledger. The full application name SAP ERP ECC 6.0 is identified as the system of record for purchase order creation and placement.
Operational responsibility during the implementation included RFQ and RFP creation, contract review and negotiation, contract creation, and purchase order creation and placement via SAP ERP. Functional configuration centered on requisition-to-order transaction flows, vendor quotation capture, contract document management, and purchase order lifecycle management within the ERP Financial application, supporting procurement and finance teams. Workflow rules embedded review and approval steps for requisitions and contracts, assigning RFQ and contract ownership to procurement stakeholders and routing purchase orders through SAP ERP ECC 6.0 for execution. Governance changes focused on formalizing RFQ/RFP creation responsibility and contract review checkpoints inside the application workflows.
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Expense Management | ERP |
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2014 | 2014 |
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Mercedes-Benz Research and Development North America HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Employ | Legacy | Lever by Employ | Applicant Tracking System | HCM | n/a | 2021 | 2021 |
In 2021, Mercedes-Benz Research and Development North America implemented Lever by Employ as its Applicant Tracking System. The deployment positions Lever by Employ as the primary platform for external candidate intake, integrated directly with the company careers website to capture applicant submissions into structured ATS workflows.
Configuration emphasized core Applicant Tracking System capabilities, including requisition management, stage-based candidate pipelines, interview scheduling, offer management, and reporting. Lever by Employ was configured with standardized job posting templates, interview feedback capture, and automated notifications to enforce consistent hiring stages and to support Talent Acquisition and HR processes.
Operational scope centers on Talent Acquisition and HR teams using Lever by Employ to manage the candidate lifecycle. Governance controls were applied through role-based access, requisition approval rules, and staged gating to align hiring workflows with organizational policy. The implementation centers system-based orchestration of candidate records and hiring activities via Lever by Employ.
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Recruiting, Applicant Tracking System | HCM |
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2019 | 2019 |
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Mercedes-Benz Research and Development North America AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SoundHound Inc. | Legacy | SoundHound Houndify AI Platform | Cognitive Computing | AI-Powered Application | n/a | 2018 | 2018 |
In 2018 Mercedes-Benz Research and Development North America implemented SoundHound Houndify AI Platform for Cognitive Computing. The account is listed as a customer and the engagement reflects adoption of conversational AI capabilities to support automotive software research and human machine interface experimentation.
SoundHound Houndify AI Platform was applied to provide core Cognitive Computing functions including speech recognition, natural language understanding, intent classification, and context aware dialogue management. Implementation work emphasized developer SDKs, domain specific language models, and real time voice interaction pipelines to enable voice enabled prototypes and product features.
Operational coverage targeted engineering and software development groups within Mercedes Benz Research and Development North America, aligning with HMI, infotainment experimentation, and connected services use cases. Integrations followed standard Cognitive Computing deployment patterns, connecting voice SDKs to in vehicle application stacks, telematics backends, and testing harnesses to validate conversational flows.
Governance focused on model lifecycle processes, voice user experience validation, and iterative configuration of intents and entities with product and software teams owning continuous refinement. Source material lists Mercedes Benz Research and Development North America as a customer of the SoundHound Houndify AI Platform.
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Mercedes-Benz Research and Development North America IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Mercedes-Benz Research and Development North America
Apps Being Evaluated by Mercedes-Benz Research and Development North America Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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