Mexico City, 52786,
Mexico
doto.com.mx Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by doto.com.mx and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 120 doto.com.mx employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that doto.com.mx has purchased the following applications: Jewel ML for ML and Data Science Platforms in 2022, Google Workspace (Formerly Google G-Suite) for Collaboration in 2016, LexisNexis ThreatMetrix for eCommerce Fraud Protection 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 doto.com.mx is running and its propensity to invest more and deepen its relationship with Jewel ML , Google , LexisNexis 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 doto.com.mx revenues, which have grown to $10.0 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 doto.com.mx 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 |
|---|---|---|---|---|---|---|---|---|
| Jewel ML | Legacy | Jewel ML | ML and Data Science Platforms | AI Development | n/a | 2022 | 2022 |
In 2022, doto.com.mx implemented Jewel ML. Jewel ML is deployed as an ML and Data Science Platforms solution on the company website to provide model-driven intelligence for its retail e-commerce operations in Mexico.
The implementation emphasizes hosted model serving and managed data pipelines, using standard ML and Data Science Platforms capabilities such as real-time inference, feature engineering workflows, and experiment management for iterative model updates. Configuration targets customer-facing decision points on the storefront, applying models for recommendation and personalization workflows consistent with retail e-commerce use cases.
Integration is executed directly on the public website through client-side and server-side instrumentation that streams event data into Jewel ML for online scoring and into offline training pipelines. Operational coverage centers on the e-commerce storefront and merchandising processes, with the platform consuming analytics and order data to generate features and training labels.
Governance and operational controls are organized around model lifecycle management, version control, and experimentation governance coordinated between product, merchandising, and analytics teams. Rollout is focused on incremental deployment to the public site with online scoring pipelines to support continuous model updates and controlled experimentation.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2016 | 2016 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| LexisNexis | Legacy | LexisNexis ThreatMetrix | eCommerce Fraud Protection | eCommerce | n/a | 2021 | 2021 |
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eCommerce | eCommerce |
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2020 | 2020 |
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Product Review Management | eCommerce |
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2019 | 2019 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Order Management, Inventory Management | SCM |
|
2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Call Center | CRM |
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2021 | 2021 |
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CRM | CRM |
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2021 | 2021 |
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Customer Data Platform | CRM |
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2022 | 2022 |
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Customer Engagement | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2020 | 2020 |
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Customer Loyalty | CRM |
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2019 | 2019 |
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Customer Support | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2023 | 2023 |
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Partner Relationship Management | CRM |
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2022 | 2022 |
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Tag Management | CRM |
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2017 | 2017 |
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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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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Apps Development | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2022 | 2022 |
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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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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Cloud Storage | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Identity and Access Management (IAM) | CyberSecurity |
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2023 | 2023 |
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Identity and Access Management (IAM) | CyberSecurity |
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2023 | 2023 |
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