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Odoo is a business management software suite developed in Belgium. It provides applications for customer relationship management, e-commerce, accounting, manufacturing, warehouse management, project management, and inventory management. In October 2022, Odoo S.A. announced changes to its pricing structure, including a single per-user subscription plan…
The analysis highlights History and Companies as prominent areas in the source structure around Odoo.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Odoo shows recurring relationship patterns in the source. For example, Odoo → ACM, Adam, Almugadam, An Open Source Concept, Bashir, Bhimavaram, Business Intelligence Tool, Chen, Communication, Computing, Control, Developing, Electronics Engineering, ERP Solution, February, Ganesh, Greg, Hassan, IACC, ICCCCEE Another extracted example is Odoo → According, Belgium, Blackrock, By, CapitalG, CEO, CEO Fabien Pinckaers, Deloitte, Europe, Fabien Pinckaers, In, In November, Inc, OpenERP, Sequoia Capital, That, The, TinyERP. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
software applications company accounting enterprise openerp erp proprietary support management saas community version e-commerce development million 10 developed including doi
TTTA extracted 104 structured relationships around Odoo. Examples in this analysis include Odoo → Developers → Odoo S.A., Community and Odoo → License → "Community" version: GNU Lesser General Public License v3 "Enterprise" version: proprietary license. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Odoo | Developers | Odoo S.A., Community | 1.00 | infobox |
| Odoo | License | "Community" version: GNU Lesser General Public License v3 "Enterprise" version: proprietary license | 1.00 | infobox |
| Odoo | Operating system | Linux, Unix-like, macOS, Windows, iOS, Android, ChromeOS, ChromeOS Flex | 1.00 | infobox |
| Odoo | Original author | Fabien Pinckaers [fr] | 1.00 | infobox |
| Odoo | Preview release | Master | 1.00 | infobox |
| Odoo | Release | February 2005; 21 years ago (2005-02) | 1.00 | infobox |
| Odoo | Repository | github.com/odoo/odoo | 1.00 | infobox |
| Odoo | Stable release | 19.0 / 18 September 2025; 11 months ago (18 September 2025) | 1.00 | infobox |
| Odoo | Type | ERP, CRM, Accounting, CMS, E-commerce | 1.00 | infobox |
| Odoo | Website | www.odoo.com | 1.00 | infobox |
| Odoo | Written in | Python, JavaScript and TypeScript | 1.00 | infobox |
| Odoo | is a | business management software suite developed in Belgium | 0.90 | text |
The concept neighborhoods around Odoo bring nearby vocabulary together. In this analysis, examples include Software, Openerp and Million. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Odoo, one of the stronger structural bridges in this analysis connects Odoo with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Odoo to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Odoo · EN edition · Analysis: TopicsToTalkAbout