A single order landscape
Manager, warehouse, logistics and finance work on one order and see the same status without calls, Excel or manual re-entry
eCommerce
Odoo: ERP, CRM and OMS without a needless monolith
Odoo covers sales, warehouse, procurement, finance, manufacturing, eCommerce and CRM in one modular platform. KT.
Odoo as a modular ERP/CRM/OMS platform for sales, warehouse, finance, B2B orders and management analytics
Our clients
Clients and partners
-85%B2B order processing time in the Odoo OMS case
4 monthsto an order MVP from manager entry to warehouse handoff
6 weeks -> 5 daysorder turnaround time after OMS launch
4 -> 1potential reduction in full physical inventories per year
Industry solutions
What you can build on Odoo
Distribution and B2B
OMS for orders from calls, email, messengers, the B2B portal and marketplaces
Cuts manual data collection, lost orders and delays between sales and warehouseLearn more →Retail and eCommerce
Linking orders, stock, prices, returns and customer portals
Helps keep a single sales landscape and add new channels fasterLearn more →Finance and management accounting
Exporting Odoo data to DWH/BI and P&L reporting
Reduces manual assembly of management reports and discrepancies between systemsLearn more →Manufacturing
MRP, warehouse, procurement, quality and equipment maintenance
Connects planning, inventory and actual order fulfillmentLearn more →Logistics and Warehouse
Integrating Odoo Inventory/OMS with WMS and shipping routes
Gives a transparent order path from placement to picking and shipmentLearn more →AI-native operations
AI fields, assistants and controlled agent access to Odoo data
Automates data-driven hints and answers without giving the LLM direct database accessLearn more →
Capabilities
Odoo capabilities
A customer, manager or marketplace creates an orderOdoo OMS maintains a single status and processing rulesThe API/ESB layer passes the order to WMS, 1C, BI and the customer portalWarehouse and sales work on one version of the dataDWH/BI assembles management reporting and P<he AI assistant answers on policies and statuses only through controlled accessBusiness logic is moved into modules and services alongside the core
Modular rollout
You can start with CRM, OMS, warehouse or finance and expand the landscape as the business is ready, without deploying the whole ERP at once
Integrations via API
Odoo connects to WMS, 1C, BI, marketplaces and customer portals through a stable integration layer, not point-to-point spaghetti
Customization alongside the core
We move business logic into separate modules and services so Odoo updates don't turn into costly rewrites of customizations
Management reporting
Odoo data can be exported to a DWH/BI landscape to build P&L, margin and operational reports on a single data model
User adoption
We design scenarios together with managers and warehouse: the system should cut manual workload, not add yet another interface
Approach
How we implement Odoo
Without modifying the core
We don't fork or patch the Odoo core. Odoo stays on the standard, upgradable version — we move business logic into separate microservices alongside it, so platform updates don't break your customizations.
International Standards, Not Homegrown Hacks
Where a mature international solution exists, we use it instead of inventing our own protocol or platform. Before writing code, we study how the problem is already solved in the industry.
Transferability
The solution is loosely coupled and documented: it can be handed over between teams and contractors without rewriting. You are not tied to us.
AI compatibility
Odoo in an AI stack
AI fields and agents in Odoo 19
Odoo is expanding built-in AI scenarios: generating and suggesting field values in forms, AI agents and natural-language queries over company data
RAG over orders and regulations
A corporate assistant can answer managers' questions on orders, statuses, discount rules and policies when data access is limited by roles
MCP/API access
For agent scenarios, expose Odoo through a managed API/MCP layer: permissions, auditing and limits stay outside the LLM
Data quality control
AI helps once you clean up master data, statuses and processes: otherwise the agent speeds up desync, not work
Context 2026
What changed in the market
Odoo remains a modular ERP/CRM platform
The official catalog positions Odoo as a suite of business apps for CRM, eCommerce, accounting, warehouse, POS, projects and other processes
Integrations require early plan verification
Official Odoo docs state that External API access depends on the Custom plan, so the integration landscape can't be left until the end of the project
Inventory covers the warehouse scenario
Odoo Inventory is described as an inventory application and warehouse management system: lead times, replenishment, advanced routes and other warehouse features
AI has become part of the platform
Odoo 19 added AI agents, AI database queries and AI fields, but enterprise rollout needs permissions, auditing and access limits
Honestly
Pros and cons
Pros
- Modularity: you can roll out CRM, sales, warehouse, finance or OMS gradually
- A broad set of business apps in one platform: fewer scattered interfaces
- Open architecture and API let you build integrations with 1C, WMS, BI and marketplaces
- Good fit for a fast process MVP, as long as you don't try to roll out the whole ERP at once
- There's a foundation for Odoo 19 AI scenarios, but they must be embedded through a controlled landscape
Cons
- Odoo does not replace architecture work: without module boundaries, customization quickly becomes a new monolith
- CIS accounting and industry regulatory processes often require localization or a link to 1C
- API and custom integrations depend on the plan and deployment architecture, and must be checked before the project
- User adoption is critical: if managers and warehouse join late, the system will need quick rework after the MVP
News
What's new in Odoo
-
Odoo 19 release: AI is built into all apps without separate modules
AI features are natively available in every app: "Ask AI search" turns a natural-language question into Odoo filters/groupings, AI agents perform actions on request (quotes, follow-up), and fields are filled automatically by AI. ChatGPT has been added as a provider: the model is cloud-based, there are no weights, and access is only through the OpenAI API.
Blog
Articles about Odoo
Projects
Cases
Odoo OMS for a distributor
- Order processing time cut by 85%
- MVP launched in 4 months
- System MVP launched in 4 months
Odoo as a data source for P&L and BI
- Management data became more accessible to the team
Discuss the Odoo project
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