What leaders see
Promising pilots that do not change daily work.
Teams test tools, get useful output, and still copy results into spreadsheets, tickets, emails, or ERP screens by hand.
Services
AI & Machine Learning · Order Routing
Intelligent 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
Order Routing by Habit, Not Optimization
The problem is rarely that the model cannot generate an answer. The real problem is that the data, permissions, exception rules, and action boundaries are not governed well enough for AI to affect production work.
What is actually happening
The automation cannot reach the operating record.
Source data, permissions, business rules, exception handling, and audit trails are not clean enough for the system to take action.
What gets worse
Automation scales uncertainty.
Bad inputs move faster, decisions become harder to trace, and teams lose confidence before AI becomes operationally useful.
02
What Changes
What Intelligent Order Routing includes.
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
Multi-Factor Routing Optimization
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.
02
Real-Time Inventory Visibility
Live inventory state across all warehouses and fulfillment locations. Routing decisions use current stock, not batch-updated counts that were accurate 4 hours ago.
03
Split Shipment Avoidance
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.
04
Carrier Rate Optimization
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.
05
Business Rule Enforcement
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.
06
ERP & WMS Integration
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
How Intelligent Order Routing fits your operation.
Intelligence layerWhich decisions can be automated, which need review, and which should stay human-owned.
Governance dependencyThe agent needs governed inputs, clear action boundaries, and audit logging before it can touch production workflows.
Data the model must trust
ERP history
exception queues
pricing rules
quality records
fulfillment events
What Launchpad defines before engineering begins
- What the business needs to change and why.
- Which systems, records, risks, and readiness gaps shape the work.
- What should be built, how it fits the architecture, and in what order.
Related Foundations
What to evaluate next.
Follow the dependencies behind this service instead of treating it as an isolated project.
01
Data engineering and integration
Build the governed records, pipelines, and definitions AI needs to produce reliable results.
Explore next step02
Cloud architecture and operations
Prepare secure infrastructure, access controls, monitoring, and recovery for production AI workloads.
Explore next step03
AI on Your Data readiness
Evaluate the use case, owned data, permissions, review model, and workflow outcome before implementation.
Explore next step04
Launchpad readiness and Roadmap
Assess readiness, dependencies, risk, architecture, and implementation order before engineering begins.
Explore next stepLaunchpad Before Engineering
Decide what to build and in what order.
Launchpad assesses the business and turns discovery into priorities, risks, readiness, architecture, and an implementation Roadmap. Metrotechs then engineers and supports the approved solution.
Metrotechs designs, builds, integrates, and supports the approved solution.
Launchpad keeps priorities, risks, owners, decisions, and delivery governance connected.
04
Delivery sequence
How Metrotechs delivers Intelligent Order Routing.
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.
01
Fulfillment Network Assessment
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.
02
Optimization Model Design
Define the objective function (minimize cost, maximize speed, balance workload) and constraint set (inventory, carrier, customer rules). Design the routing algorithm architecture.
03
Historical Analysis & Training
Train the model on historical order and shipment data. Benchmark AI-optimized routing against actual historical routing decisions to quantify improvement potential.
04
System Integration
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.
05
Production & Tuning
Deploy with fulfillment cost dashboards, on-time delivery tracking, and continuous optimization. Retune as warehouse capacity, carrier rates, and inventory distribution change.
05
FAQ
Questions that usually decide the scope.
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.