Mexico City, 1210,
Mexico
Ford Motor Mexico Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Ford Motor Mexico and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 8800 Ford Motor Mexico employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Ford Motor Mexico has purchased the following applications: Altair AI Hub for AI Frameworks and Libraries in 2019, Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2021, Dynatrace APM for Application Performance Management 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 Ford Motor Mexico is running and its propensity to invest more and deepen its relationship with Altair Engineering , Microsoft , 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 Ford Motor Mexico revenues, which have grown to $8.26 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 Ford Motor Mexico 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.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Altair Engineering | Legacy | Altair AI Hub | AI Frameworks and Libraries | AI Development | n/a | 2019 | 2019 | In 2019 Ford Motor Mexico operationalized predictive stamping models using Altair AI Hub, applying models developed with Altair Knowledge Studio to stamping process selection. The deployment focused on manufacturing and process engineering in Mexico, with Altair AI Hub serving as the operational platform for model lifecycle management and inference in production stamping workflows. The implementation centered on predictive modeling and model operationalization capabilities, including model repository and version control, automated scoring pipelines, and model serving for real time decisioning of stamping process selection. Configuration work included mapping Knowledge Studio predictive outputs to decision rules used by process engineers, and establishing automated model scoring that could be invoked during process setup and planning. Integrations were implemented to connect the model serving layer to stamping process selection workflows and to process engineering workstreams, enabling model outputs to feed operator guidance and process parameter recommendations. Operational scope covered manufacturing operations and process engineering teams across Ford Motor Mexico stamping sites, with deployment targeted at lines where stamping process selection decisions were previously manual. Governance and rollout included model validation and versioning controls, staged deployment from pilot lines to broader stamping operations, and handover procedures for process engineering to manage model inputs and periodic retraining. Outcomes reported from the implementation include raised process throughput, higher first time right rates, and a dramatic reduction in manual trial and error when selecting stamping processes, reflecting the combined use of Altair Knowledge Studio models and Altair AI Hub for production operationalization. |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2021 | 2021 | ||
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Dynatrace | Legacy | Dynatrace APM | Application Performance Management | ITSM | n/a | 2018 | 2018 | ||
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Application Performance Management | ITSM |
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2019 | 2019 |
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Chatbots and Conversational AI | AI-Powered Application |
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2012 | 2012 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Customer Experience | CRM |
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2021 | 2021 |
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Data Management Platform | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
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Digital Asset Management | Content Management |
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2016 | 2016 |
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| Date | Company | Status | Vendor | Product | Category | Market |
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