A system choice within your Digital Transformation Roadmap
Enterprise-Grade Odoo Architecture. Built Safely on AWS.
For U.S. mid-market manufacturers, conflicting orders, stock figures, and production updates consume planning time and put ship dates at risk. Where Odoo on AWS fits your complete Roadmap, it becomes an operating foundation within your Metrotechs-led transformation, connecting sales, purchasing, inventory, production, and finance. Useful AI in daily supply chain work is the goal. We plan migration, integration, and employee practice around live orders and production, testing the handoffs before an agreed cutover. Retaining suitable systems remains an option.
One managed transformation, led by Metrotechs.
Connected operations
People, processes, systems, and data working together.
A better customer experience
Reliable information from order placement through delivery.
Useful AI assistance
Help people investigate delivery risks with less record searching.
Odoo + AWS + Your Data
Odoo runs the work.
AWS provides the foundation.
Odoo is an enterprise resource planning (ERP) system: connected business applications for sales, purchasing, inventory, manufacturing, and accounting. Instead of keeping separate versions of an order, your teams use linked records to coordinate materials, production, shipments, and invoices. Metrotechs selects and configures the applications around your operation and connects the specialist systems you retain.
AWS—Amazon Web Services—provides the cloud infrastructure that hosts Odoo and supports connections to other systems. Metrotechs agrees availability requirements, approved access, security, monitoring, backups, and recovery targets around your operating needs. We test restoration and reconciliation with the responsible teams, including the fallback they use during an interruption. The environment, support responsibilities, and accepted limits are defined before everyday reliance.
Working with existing core systems? Explore LaunchpadOrder-to-Door™
Illustrative order journey- Orders
- Planning
- Production
- Fulfillment
- Delivery
For example, a made-to-order component can link a sales order to material purchases and a manufacturing order. Warehouse staff record the finished stock and dispatch; finance uses the related records for invoicing. Each team can follow the order without rebuilding its history in spreadsheets.
Practical supply chain AI
Your operating data.
Ready to work.
AI on Your Data means using your own business records to help people understand what is happening and decide what to do next. Connected orders, purchasing, stock, production, and delivery records give AI the context of your operation. Metrotechs uses your Roadmap to select useful applications, define what information they can access, and test them against the work your teams actually do.
Illustrative example: a planner asks, “What is putting this customer’s delivery at risk?” An approved AI application could bring together a late material purchase, available stock, and production progress to explain the possible delay and identify the records behind its answer. The planner verifies the findings before changing the schedule or a customer commitment. The potential benefit is less time reconstructing the order history and more time resolving the constraint. We compare investigation time, answer evidence, corrections, and review effort with the current process.
- 01
Trace the order
Link the accepted customer order, material purchase, available stock, and production progress. Show which records are current and who maintains them.
- 02
Review the explanation
An approved AI application summarizes a possible delay beside its source records. The planner checks missing updates and conflicting evidence before deciding a response.
- 03
Compare the complete task
Test ordinary and unusual orders, permissions, corrections, and the manual fallback. Compare investigation time, including employee review, with the current process.
Evidence for acceptance
The planner can verify the answer, recognize missing evidence, and handle an exception. Leaders review the comparison with current work and agree the application's limits before acceptance.
An illustrative delivery sequence, not a reported client result. Agreed tests, employee practice, and operating evidence determine whether the change is accepted.
Self-service grows from the same connected foundation: customers can check an order and employees can review availability using reliable information.
From Roadmap to adoption
A complete transformation.
One managed engagement.
Metrotechs assesses your operation, creates and manages your complete Digital Transformation Roadmap in Launchpad, and leads the approved work through implementation, training, adoption, and acceptance. Enterprise architecture brings your people, processes, systems, and data into one plan.
We assemble and lead the delivery team. Your leaders retain business authority and operating ownership; providers manage their assigned work and resources. Employees help verify records, test the changed handoffs, and practice their work before the agreed results are accepted.
- 01
Assess
Understand your operation, priorities, systems, and ways of working.
- 02
Create the Roadmap
Define the architecture, sequence, responsibilities, and acceptance measures in Launchpad.
- 03
Build and integrate
Configure Odoo, profile and reconcile records, and test retained-system connections. We can develop and integrate alongside providers.
- 04
Rehearse, accept, and adopt
Practice changed work and recovery, agree acceptance and rollback before cutover, and prepare employees for daily use and exceptions.
Implementation and configuration
Select and configure the Odoo applications, roles, and operating rules your business needs. Plan Sales, Purchase, Inventory, Manufacturing, and supporting applications around the assessed flow.
Data migration and integration
Profile source records, resolve mapping and quality issues, and reconcile migrated balances, orders, and references. Rehearse migration and complete transaction tests. Use parallel checks where appropriate to the agreed transition, with acceptance and rollback conditions settled before cutover. Connect retained systems through defined ownership and tested exchanges.
Purposeful development
Use standard applications and configuration first. Develop the modules, interfaces, or workflows the Roadmap identifies as necessary, with testing and maintenance planned.
Support and improvement
Define ongoing responsibilities for the AWS environment, access, monitoring, backup, recovery, updates, user support, and continued improvement.
Keep customer promises
Keep customer promises
with a supply chain that works together.
Reliable commitments
Give sales and customer service dependable information about availability, production, and fulfillment so they can keep customers informed.
Less manual reconciliation
Connected records help teams reduce re-entry, status chasing, and avoidable mismatches between orders, stock, shipments, and invoices.
Clear operating visibility
See how orders, purchasing, inventory, and production affect delivery so your teams can coordinate work and respond to exceptions.
Your Roadmap sets the priorities and acceptance measures. A focused AI application can progress while wider improvements are phased. The transformation establishes dependable records, clear authority, and people who can check AI answers and handle exceptions in daily work.