Operating data is a company asset
Customer, financial, inventory, project, service, purchasing, production, and fulfillment records should be governed as part of the business—not trapped inside disconnected applications.

A connected ERP service for Supply Chain Digital Transformation: Odoo is the ERP core; AWS provides Cloud and the data foundation; Odoo AI and practical AI put governed business records to work.
The fit is strongest when customer commitments, sales, purchasing, inventory, manufacturing, quality, fulfillment, service, and commerce are disconnected—or when leadership wants those workflows on a platform the company can govern, extend, and improve over the long term.
Customer, financial, inventory, project, service, purchasing, production, and fulfillment records should be governed as part of the business—not trapped inside disconnected applications.
The company needs Odoo workflows, permissions, reporting, and integrations shaped around how it actually sells, delivers, operates, and serves customers.
Security, backup, recovery, access, monitoring, and continuity are business requirements—not hosting afterthoughts.
Automation and AI should use approved data, documented rules, and accountable human review—not an uncontrolled copy of the business.
Odoo provides the ERP and operating core for supply chain, commerce, and the business applications around them. AWS provides the Cloud and data foundation. Odoo AI and practical AI use governed records from that environment. Metrotechs engineers the architecture, integrations, data flows, controls, and support model while Launchpad keeps delivery priorities and decisions governed.
Connect CRM and Sales, Purchase, Inventory, Manufacturing, Quality, PLM, Maintenance, Repairs, and fulfillment around the manufacturing operating model.
Build Odoo Website, eCommerce, customer accounts, product catalogs, account pricing, customer portals, and order workflows on the same operating record.
Keep quotations, orders, purchasing, inventory, invoices, customer information, and operating data in a governed system the business can understand and improve.
Establish the environments, access controls, backups, recovery processes, monitoring, and deployment practices required to operate Odoo responsibly.
Use Odoo AI and governed ERP and operating data to support search, reporting, assistance, automation, forecasting, and other approved AI use cases.
Connect ecommerce, customer portals, payment systems, logistics platforms, field applications, industry tools, and external services without creating another unmanaged web of dependencies.
Add workflows, modules, automations, and integrations through a managed release process rather than accumulating one-off customizations.
Start with fit, then scope the implementation, data, integrations, changes, launch, and support the business actually needs. Explore each service below for its detailed scope.
Confirm fit, then configure the Odoo applications, roles, permissions, operating rules, and reporting required by the approved manufacturing model.
Profile, clean, migrate, and reconcile critical records. Connect Odoo to retained business systems and partners with clear source ownership and tested exchanges.
Use standard configuration first, then build the specific modules, workflows, interfaces, and reports the business needs to own and maintain.
Resolve issues, monitor the environment and integrations, govern updates, coach users, and improve the workflows and measures that matter after launch.
AI on Your Data is not a separate platform beside Odoo. It is what becomes possible when Odoo and connected systems hold dependable records, AWS provides controlled infrastructure and data access, and the business has defined the workflow, permissions, and person accountable for the result.
Choose the decision, response, document, forecast, or exception that needs to improve before selecting an AI capability.
Use governed Odoo and connected records—orders, quotes, inventory, products, suppliers, production, quality, service, documents, and financial data—with clear ownership, permissions, and lineage.
Set allowed actions, review thresholds, escalation paths, audit evidence, and measures so AI supports the work without removing human responsibility.
Launchpad establishes fit, readiness, priorities, risks, architecture, and implementation order. Metrotechs then engineers and supports the foundation in deliberate phases so each decision strengthens the system instead of adding another dependency.
Assess the business, readiness, systems of record, workflows, risks, priorities, architecture, and implementation order before engineering begins.
Metrotechs configures the ERP, cloud environment, security controls, backup and recovery processes, monitoring, deployment practices, and baseline operating standards.
Connect required systems, normalize critical records, establish permissions, and define how data is validated, exchanged, retained, and audited.
Operate the foundation and add reporting, workflows, agents, and AI only after the underlying records, permissions, and operating rules can be trusted.
The objective is not simply to host Odoo or add AI. It is to create a durable operating foundation that supports better decisions today while preserving the company’s ability to change tomorrow.
Use governed demand, order, inventory, purchasing, production, and supplier records to give planners a stronger basis for forecasting, prioritization, and replenishment decisions.
Connect orders, purchasing, inventory, fulfillment, invoices, and exceptions so teams spend less time re-entering information, chasing status, and resolving avoidable mismatches.
Make the records behind customer commitments, supplier performance, inventory, production, fulfillment, and delivery visible in a connected operating environment.
Give Odoo AI and practical AI trusted records, defined access, business rules, and human review so automation supports the operation without removing ownership.