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. Dallas is one of America's most operationally complex business markets — 23 Fortune 500 headquarters, one of the largest inland distribution networks in the country, and a business base that spans energy, financial services, healthcare, logistics, and manufacturing. Metrotechs builds custom AI software for Dallas businesses with high-volume operations and decisions that humans are currently making manually. AI agents that quote, route, forecast, fulfill, and resolve — deployed in your infrastructure, owned by you.
The DFW market rewards operational speed. Businesses with AI agents handling pricing, routing, and exception resolution move faster and at lower cost than competitors relying on manual processes.
Available-to-promise quantities by warehouse location, updated in real time from your ERP/WMS. Dealers see exactly what's available to ship.
Show what's on-hand vs. what's allocated to other orders. No more overselling or disappointing dealers with backorders.
Expected restock dates for out-of-stock items based on purchase orders, production orders, and in-transit inventory.
Inventory across all warehouse locations in a single view. Dealers can choose ship-from location based on proximity and availability.
Configurable alerts for dealers when frequently ordered items hit low-stock thresholds. Proactive notification before stockouts.
Search inventory by SKU, description, category, or cross-reference. Find available substitutes when primary items are out of stock.
Map your inventory data sources — ERP, WMS, 3PL systems. Define which locations, stock types, and quantities to expose to dealers.
Build real-time integration with your inventory systems. Configure ATP calculation logic — on-hand minus allocated minus safety stock.
Configure how inventory is displayed — exact quantities, ranges (50+, 100+), or in-stock/out-of-stock. Different visibility rules for different dealer tiers.
Validate ATP accuracy against your ERP. Test with real order scenarios to verify that displayed availability matches what can actually ship.
Launch inventory visibility with dealer training. Monitor accuracy and gather feedback on display format and usefulness.
Real-Time Inventory Visibility for Dallas distribution & logistics operations - configured around local workflows, data ownership, and implementation governance.
Real-Time Inventory Visibility for Dallas financial services operations - configured around local workflows, data ownership, and implementation governance.
Real-Time Inventory Visibility for Dallas healthcare operations operations - configured around local workflows, data ownership, and implementation governance.
Real-Time Inventory Visibility for Dallas energy & industrial operations - configured around local workflows, data ownership, and implementation governance.
Real-Time Inventory Visibility for Dallas construction & real estate operations - configured around local workflows, data ownership, and implementation governance.
Real-Time Inventory Visibility for Dallas professional services operations - configured around local workflows, data ownership, and implementation governance.
Typically within 1–5 minutes of your ERP/WMS. For high-velocity items, we can implement near-real-time sync (under 60 seconds). The right refresh frequency depends on your order volume and inventory velocity.
Yes. You can show exact quantities to top-tier dealers and range indicators to others. You can also restrict warehouse visibility by region or dealer tier.
We integrate with major 3PL systems and WMS platforms to show inventory across owned warehouses and 3PL locations in a unified view.
You control what's visible. Many manufacturers show ranges instead of exact counts, hide certain warehouses, or only show availability for items the dealer has purchased before. We configure visibility rules to match your comfort level.
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.
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.
Generic cloud architectures built from a vendor\u2019s reference design don\u2019t account for your ERP\u2019s latency requirements, your WMS\u2019s throughput demands, or your compliance obligations. We design cloud architecture around your actual workloads so everything performs on day one.
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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