Here are all the essential ERP and Odoo news of June you should not miss.
News from Odoo HQ
Official updates and posts from Odoo’s headquarters, Odoo employees, and Odoo founder Fabien Pinckaers.
All announcements from Odoo Partner Day DACH 2026
Here are the biggest highlights of this year’s Odoo Partner Day DACH:
Odoo to open a new Munich office in Q4 2026Â
Odoo is expanding its German footprint with a new office in Munich, set to open in Q4.Â
DACH Director Johannes Kreuzen will oversee this expansion, which will initially focus on commercial and service teams.Â
Odoo is betting on a "one company, two offices" approach to fully win over the DACH market over the next decade, establishing Munich as a strategic hub alongside Berlin.
The Berlin office is now approaching two hundred employees, with roughly half of them onboarded since January 2026. It remains fully operational and is already taking over an additional floor to accommodate the growth.
Odoo shares updates for DACH accounting & compliance
During the opening keynote, Odoo announced major regional compliance updates for Germany, Austria, and Switzerland ahead of the Odoo 20 release:
- An ELSTER integration for submitting VAT advance notifications directly to the tax office is planned for Odoo 20
- Odoo underlined that  v19 is fully GoBD compliant, and certification for Odoo 20 is already in the works.
- Austrian users will get audit-proof XML exports and direct FinanzOnline connectivity
- A permanent solution for automated bank data synchronisation is in development, and a workaround has been implemented in the meantime.
Odoo 20 core apps will work fully offlineÂ
Core apps like Finance, Inventory, and Manufacturing will support creating, editing, and archiving records without an active internet connection in Odoo 20.
Claude AI is coming to Odoo 20 chat
Anthropic's Claude AI will be natively integrated into Odoo Chat as part of the upcoming Odoo 20 release. Â
Odoo DACH overtakes France as the second biggest EMEA market
The DACH region has doubled its monthly new customer additions compared to last year, recently hitting a new ARR milestone and closing in on ten thousand total customers.Â
Having overtaken France, Odoo DACH now ranks second in EMEA and is backed by 133% YoY revenue growth in Germany alone between January and May.Â
The DACH partner network has grown in line with demand, with Germany's partner count up 70% year-over-year.
Native lines-of-code counter added to Odoo 20
A native tool to track lines of code (LoC) is officially coming to Odoo. A recent GitHub commit from the R&D team revealed a new utility built to help developers and administrators instantly quantify custom modifications within their databases.
The update does not just display a raw number. It introduces a structured backend framework to isolate bespoke code lines from the standard core ecosystem systematically.
What to expect:
Customisation tracking: Instantly scan your database to locate and count the exact lines of code added through custom developments
Simpler migration scoping: Partners and clients can easily estimate version upgrade workloads by accurately measuring the volume of non-standard code
Technical debt management: Provides clear visibility into database modifications, making it much easier to keep codebases clean and aligned with Odoo standards.
Community talk
All the hot topics and discussions Odoo users are buzzing about this month.Â
News from the ERP worldÂ
Headlines from the ERP world you shouldn’t miss.
Anthropic releases "safe" version of the Mythos model
Anthropic launched Claude Fable 5, a commercial version of its ultra-powerful and restricted Mythos model.Â
The AI giant had previously announced that Mythos was too risky for public release due to severe safety concerns about its advanced autonomous capabilities.
The new architecture provides highly advanced coding and logic performance. However, fears over potential cybersecurity exploits mean the fully unrestricted version remains locked down and restricted exclusively to government partners.
To manage the public rollout safely, Anthropic has integrated an automated fallback system. If a user prompt triggers real-time safety classifiers, the platform silently reroutes the task to a standard Claude Opus model to block any dangerous capabilities.
However, early developer reports indicate that this safety layer is overly aggressive. Fable 5 currently triggers these guardrails on standard queries like code reviews and secure code, or just by reading a blog post on a security topic.
This raises a fundamental issue: Is a safety measure even effective if it can't distinguish between safe and harmful content?
EU Parliament drops Google for French search engine Qwant
The European Parliament is replacing Google with Qwant as the default search engine on all internal computers. The change will automatically route searches made through Firefox and Edge address bars to the French provider.
While staff can still manually switch back to Google, this reflects a wider push for European tech independence. It follows recent demands from MEPs to also move away from major US-based cloud providers and software suites.
How the infrastructure is changing:Â
Sovereign search index: Qwant has partnered with Berlin-based startup Ecosia under a joint venture called European Search Perspective (EUSP). The goal is to build a completely independent, privacy-focused European search index
Public infrastructure push: EUSP is currently calling on European governments to develop national search indexes. The group argues that local indexes are essential to protect public digital infrastructure from foreign tracking.
Parliament stressed that this is not an anti-American campaign, but a necessary pro-European sovereignty measure to secure local data.
Microsoft announces seven new in-house MAI models
Microsoft has launched a new family of seven in-house AI models designed to handle complex corporate workloads.Â
Dubbed a "hill-climbing machine" by the development team, MAI was built to reduce Microsoft’s reliance on external partners like OpenAI.
The new multimodal ecosystem covers reasoning, coding, image generation, transcription, and voice. The seven MAI models integrate natively with Microsoft's enterprise software stack:
MAI-Thinking-1: A mid-sized reasoning model with a 256K context window built for complex, multi-step instructions
MAI-Code-1-Flash: An inference-efficient coding model fine-tuned for GitHub Copilot and VS Code to lower token costs
MAI-Image-2.5: An advanced text-to-image and image-editing model built for creative corporate workflows
MAI-Image-2.5 Flash: An ultra-efficient variation of the image model optimised for high-speed, high-volume design tasks
MAI-Voice-2: A speech generation tool capable of natural-sounding text-to-speech across 15 languages from a short audio sample
MAI-Voice-2 Flash: A lower-cost, ultra-efficient version of the speech engine built for rapid audio deployment
MAI-Transcribe-1.5: A high-speed transcription model supporting domain-specific terminology across 43 languages.
Microsoft also introduced Frontier Tuning, a system made to give companies full control over their data. It lets companies train the models directly on their own internal workflows and private databases.
As everything stays within a secure compliance boundary, businesses retain full ownership of the final model. Early tests show a custom-tuned version for Excel is 10x more efficient, which could also drastically cut cloud computing costs.
Salesforce buys Contentful to feed structured content to AI agents
Salesforce acquired Contentful, a headless content management system, to expand its Headless 360 ecosystem.
It aims to solve an existing bottleneck for enterprise AI: easy, structured access to official company text and media.
In traditional CMS, text and images exist inside specific webpage layouts, making them difficult for AI to extract. Contentful strips away the design layer and stores text, product details, and marketing material as reusable data.
By integrating the tool into its Agentforce platform, Salesforce is giving its AI agents a direct line to approved company information. This means that AI can instantly grab an exact product description or return policy to compose a tailored customer email, without making things up on the fly.
But the deal immediately sparked pushback from developers online. Critics argued that true platform integration could take years. Moreover, they warned that it primarily increases vendor lock-in and adds operational complexity to an already expansive ecosystem.
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