What leaders see
Routine work still waits for individual follow-up.
Documents, orders, approvals, alerts, and exceptions remain trapped in inboxes and personal work queues.
AI & Machine Learning · Order Routing
Route every order to the right warehouse the first time. 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.
01
The Problem
Automation problems begin when a tool is introduced before the normal path, exception path, decision rights, evidence, and human-control points are explicit.
What leaders see
Documents, orders, approvals, alerts, and exceptions remain trapped in inboxes and personal work queues.
What is actually happening
Inputs, thresholds, approvers, escalation, evidence, and closure conditions vary by person or situation.
What gets worse
Work moves faster without becoming more reliable, explainable, or accountable.
02
What Changes
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.
AI evaluates inventory availability, shipping cost, delivery SLA, warehouse workload, and carrier rates simultaneously for every order. The routing decision balances all factors — not just the one the CSR happened to check.
Live inventory state across all warehouses and fulfillment locations. Routing decisions use current stock, not batch-updated counts that were accurate 4 hours ago.
The model identifies when a single-source fulfillment is possible and routes accordingly. When splits are unavoidable, it optimizes the split to minimize total cost and maximize delivery consistency.
Integrate carrier rate tables and real-time quotes into routing decisions. The model factors in negotiated rates, dimensional weight, zone pricing, and delivery speed requirements.
Hard constraints for customer-specific routing (dedicated warehouse assignments, territory restrictions, hazmat handling requirements) are enforced before optimization runs. Rules override the model when required.
Routing decisions push directly to your ERP and WMS for pick/pack/ship execution. No manual order re-entry or warehouse assignment after the routing decision is made.
03
How It Fits Your Operations
Related Services and Planning
Follow the dependencies behind this service instead of treating it as an isolated project.
Connect the records, events, and systems required to execute the workflow.
Explore next stepMeasure workload, exception patterns, ownership, and operating outcomes.
Explore next stepBuild the workflow capability packaged tools cannot provide cleanly.
Explore next stepUse Launchpad when the operating problem needs a structured assessment, readiness evidence, architecture, and implementation Roadmap.
Explore next stepStart With the Operating Problem
Metrotechs determines what the operation actually requires before selecting technology. When a structured assessment is warranted, Launchpad turns evidence into priorities, risks, architecture, and an implementation Roadmap.
04
Delivery sequence
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.
Map your warehouse network, carrier relationships, inventory distribution, and current routing logic. Quantify the cost of suboptimal routing — excess shipping, split shipments, and delivery misses.
Define the objective function (minimize cost, maximize speed, balance workload) and constraint set (inventory, carrier, customer rules). Design the routing algorithm architecture.
Train the model on historical order and shipment data. Benchmark AI-optimized routing against actual historical routing decisions to quantify improvement potential.
Connect to your ERP order management, WMS, and carrier/TMS systems. Routing decisions fire at order entry and push fulfillment instructions downstream in real time.
Deploy with fulfillment cost dashboards, on-time delivery tracking, and continuous optimization. Retune as warehouse capacity, carrier rates, and inventory distribution change.
05
FAQ
Straight answers to what operators ask before committing budget to this work.
Sub-second. The model evaluates all fulfillment options and returns the optimal route in under 500ms at order entry. Your CSR or e-commerce system gets an instant answer — no manual warehouse lookup required.