We digitize supplier transactions, procurement workflows, and shipment visibility — so your supply chain runs on data, not phone calls and email threads. 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.
Self-service portal for suppliers to manage POs, submit ASNs, update lead times, and view scorecards. Reduce procurement communication overhead by 60%+.
Automated purchase orders triggered by demand signals, reorder points, and MRP output. Approval routing with spend controls and budget tracking.
Real-time inbound and outbound shipment tracking across all carriers. Automated alerts for delays, exceptions, and delivery confirmations.
Multi-warehouse inventory visibility with intelligent allocation, transfer orders, and cross-dock routing. Real-time ATP across all locations.
Connect demand forecasts to procurement and production planning. Reduce stockouts and excess inventory with automated supply-demand balancing.
End-customer delivery tracking, proof of delivery capture, and automated shipping notifications. Complete order-to-door visibility.
Map your current supply chain — suppliers, lead times, logistics providers, warehouses, and fulfillment channels. Identify bottlenecks and digitization priorities.
Evaluate supply chain platforms and integration options. Design the architecture connecting ERP, WMS, TMS, and supplier systems.
Build supplier portal, procurement automations, and tracking integrations. Iterative delivery with supplier onboarding in parallel.
Connect all systems with real-time data flows. End-to-end testing across the order-to-delivery lifecycle.
Phased rollout with supplier onboarding support. Ongoing optimization based on KPIs — lead time, fill rate, carrying cost, and on-time delivery.
Supply Chain Digitization for Detroit automotive operations - configured around local workflows, data ownership, and implementation governance.
Supply Chain Digitization for Detroit aerospace & defense operations - configured around local workflows, data ownership, and implementation governance.
Supply Chain Digitization for Detroit robotics & automation operations - configured around local workflows, data ownership, and implementation governance.
Supply Chain Digitization for Detroit steel & metals operations - configured around local workflows, data ownership, and implementation governance.
Supply Chain Digitization for Detroit financial services operations - configured around local workflows, data ownership, and implementation governance.
Supply Chain Digitization for Detroit healthcare & medical operations - configured around local workflows, data ownership, and implementation governance.
Yes. We integrate with Manhattan, Blue Yonder, SAP EWM, Oracle WMS, Fishbowl, and custom warehouse systems. We also build lightweight WMS solutions for operations that have outgrown spreadsheets but don’t need an enterprise WMS.
We provide a structured supplier onboarding program — portal training, data format requirements, communication protocols, and ongoing support. Most suppliers are onboarded within 2-4 weeks.
All major carriers — UPS, FedEx, USPS, LTL carriers (XPO, Estes, Old Dominion), and regional carriers. We also integrate with freight brokers and 3PL providers. Multi-carrier rate shopping is included.
Usually not. We integrate with and extend your existing WMS. If your current system is a critical bottleneck, we’ll recommend options, but replacement is a last resort.
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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