The worst outcome of a modernization is trading dependency on a legacy system for dependency on a consulting firm. We train your team, document everything, and ensure you can operate, maintain, and evolve the new system independently. Ford's Rouge Electric Vehicle Center, GM's Factory ZERO, and Stellantis's retooling of Jefferson North are rewriting what it means to build cars in Detroit. Tier 1 and Tier 2 suppliers along the I-94 corridor face a brutal reality: retool for EV drivetrains and battery modules, or lose contracts to greenfield competitors. The shift from internal combustion to electric has compressed product development cycles from years to months, and legacy Plex and QAD installations weren't designed for that pace.
Detroit suppliers who digitized scheduling and traceability before the EV transition hit are winning new battery-pack contracts; those still running paper-based PPAP are getting passed over.
Training programs tailored to each role -- operators, power users, administrators, and IT staff. Each group learns what they need, not a generic overview.
Interactive training with real data and real scenarios from your business. Users practice in a sandbox environment before go-live.
Your IT team learns system administration, configuration management, and basic customization. No vendor call required for routine changes.
Searchable, maintainable documentation -- not a PDF. Process guides, configuration references, and troubleshooting runbooks your team can update.
Recorded training sessions and how-to videos for ongoing reference and new employee onboarding. Accessible anytime, reusable indefinitely.
Phased transition from our support to your team. Shadowing period where your staff handles issues with our team available as backup.
Identify training audiences, skill gaps, and learning objectives. Map training content to specific roles and responsibilities.
Build training materials using your data, your processes, and your terminology. No generic vendor training slides.
Deliver training in phases -- admin training early, user training before go-live, advanced training after users have production experience.
Deliver complete system documentation -- architecture, configuration, integration, and operations guides. Review with your team to ensure clarity.
Your team handles real issues independently while our team shadows. When they\'re confident and capable, the engagement transitions to optional support.
Knowledge Transfer for Detroit automotive operations - configured around local workflows, data ownership, and implementation governance.
Knowledge Transfer for Detroit aerospace & defense operations - configured around local workflows, data ownership, and implementation governance.
Knowledge Transfer for Detroit robotics & automation operations - configured around local workflows, data ownership, and implementation governance.
Knowledge Transfer for Detroit steel & metals operations - configured around local workflows, data ownership, and implementation governance.
Knowledge Transfer for Detroit financial services operations - configured around local workflows, data ownership, and implementation governance.
Knowledge Transfer for Detroit healthcare & medical operations - configured around local workflows, data ownership, and implementation governance.
Admin and IT training starts during the build phase so your team understands the system architecture. End-user training starts 2-4 weeks before go-live and continues for 2-4 weeks after. Timing ensures users retain what they learn.
Yes, and we encourage it. We also produce professional-quality how-to videos for the most common processes. These become part of your permanent training library for new employees.
We offer optional support agreements for post-engagement assistance. But the goal is that you don\'t need them -- our success is measured by your team\'s independence, not by ongoing billable hours.
Custom integrations get dedicated technical documentation including architecture diagrams, data flow maps, error handling procedures, and troubleshooting guides. Your IT team is trained to monitor, maintain, and modify integrations independently.
Most manufacturers are still running workflows that require a person to touch every exception, every order, every routing decision. AI agents eliminate that bottleneck — not by replacing your people, but by handling the work that was always below their pay grade.
Most manufacturers forecast demand with spreadsheets, gut feel, and last year's numbers adjusted by 5%. ML models trained on your actual order history, seasonality patterns, and market signals replace guesswork with predictions your planning team can act on.
Odoo Maintenance captures work orders, failure reasons, repair times, and equipment history. We build AI models on top of that data to identify failure patterns and recommend maintenance windows before breakdowns occur — no new hardware, no IoT infrastructure required.
Odoo Quality captures inspection results, non-conformances, scrap reasons, and lot traceability across every production order. We build AI models on top of that data to surface defect patterns, predict quality risk, and trigger alerts before scrap accumulates — no cameras, no hardware.
Most manufacturers price by cost-plus formula or by whatever the sales rep negotiated last time. AI pricing models factor in material costs, competitive positioning, customer segment, order size, inventory position, and market conditions — governed by business rules so every price stays within approved boundaries.
When an order hits your system, someone decides which warehouse ships it — usually based on habit, proximity, or whoever answered the phone. AI order routing makes that decision in real time, optimizing across inventory availability, shipping cost, delivery speed, and warehouse workload.
Manufacturers still process thousands of POs, invoices, RFQs, spec sheets, and BOLs manually — reading PDFs, retyping data into the ERP, and fixing the errors that come with it. Document intelligence extracts structured data from unstructured documents automatically, with validation rules that catch errors before they enter your systems.
Your dealers call or email to check stock before placing orders because they can't see what's available. We give them live ATP visibility across all your warehouses — available, allocated, in-transit, and expected replenishment dates — straight from your ERP and WMS.
We govern cloud migration in phases — every dependency mapped, every workload sequenced, every cutover window defined. Zero-downtime migration for manufacturers who can't afford an outage.
Most manufacturing AI projects die in the pilot phase. We deploy AI that integrates into your actual workflows -- demand forecasting, predictive maintenance, pricing optimization, and intelligent routing -- governed by operational data contracts.
Your demand planning process runs on last year\u2019s sales adjusted by a gut-feel percentage. ML models trained on your actual order history, seasonal patterns, and market signals produce forecasts that are measurably more accurate \u2014 and they improve automatically as more data accumulates.
Your legacy system holds critical data that modern applications need -- but it has no APIs, no webhooks, and no modern integration points. We build a REST/GraphQL API layer on top of your legacy system so new applications can access data without touching the core.
Metrotechs starts with the operating questions: which records are trusted, which workflows are manual, which systems own each decision, and where AI can safely improve throughput.
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