• Metaport Carrier Selection

AI-Powered Intelligent Carrier Selection Platform

Optimize Every Shipment & Maximize Delivery Performance

Boost delivery success 55% with intelligent dispatch automation. Transform manual carrier selection into AI-driven optimization that reduces costs, improves delivery times, and maximizes carrier performance across your entire shipping network.

Metaport Carrier Selection

Trusted by 100+ Brands

Trusted by Industry Leaders Across Sectors

Intelligent • Optimized • Performance-Driven

98%

Optimal Carrier Selection Rate

30%

Average Cost Reduction

4M+

Monthly Smart Allocations

15% 

Faster Delivery Times

Delivering Intelligence Through Our Advanced Dispatch Optimization System

Carrier selection remains critical throughout the entire fulfillment process until every shipment is matched with the optimal logistics partner. Create superior shipping outcomes using our intelligent dispatch allocation solutions.

Metaport Carrier Selection

Revolutionize Carrier Selection & Dispatch Operations

Ready to transform shipping decisions into competitive advantage? Utilize our smart dispatch platform to optimize carrier performance, reduce costs, and accelerate delivery excellence.

What Makes MetaPort Smart Dispatch
the Smart Choice for Shipping Excellence

Cost-Performance Balance Optimization

Transform shipping expenses into strategic advantage with intelligent carrier selection that reduces costs by 30% while improving delivery times by 15% through optimal carrier-shipment matching.

Dynamic Network Orchestration

Smart carrier management automatically adapts to capacity changes, performance fluctuations, and service disruptions, ensuring consistent delivery excellence across your entire logistics network.

AI-Powered Allocation Intelligence

Anticipate carrier performance and optimize selection decisions automatically, analyzing real-time capacity, performance metrics, and cost factors to ensure 98% optimal carrier matching for every shipment.

Revolutionize Carrier Selection & Dispatch Operations

Frequently Asked Questions

Got questions? We’ve got answers
How does AI-powered dispatch allocation differ from manual carrier selection?

Unlike manual selection based on limited data, our AI analyzes real-time carrier performance, capacity, costs, and route efficiency across your entire network. This delivers 98% optimal allocation rates compared to 60-70% with manual methods, while reducing costs by 30% and improving delivery times by 15% through intelligent carrier-shipment matching.

Can the platform handle multiple carriers with different service levels?

Yes, our platform manages unlimited carriers with varying service levels, from express to standard delivery options. The system automatically evaluates each carrier’s capabilities, pricing, and performance metrics to match shipments with the most suitable service level based on your requirements.

How does the system optimize for both cost and delivery performance?

Our AI uses multi-objective optimization algorithms that balance cost efficiency with delivery speed and reliability. The system weighs factors like carrier rates, transit times, and success rates to find the optimal trade-off, ensuring you get the best value without compromising service quality.

What happens when a preferred carrier reaches capacity?

The platform automatically triggers intelligent failover to alternative carriers with similar service levels and performance metrics. This seamless transition maintains delivery commitments while preventing delays, ensuring continuous operations even during peak periods.

Can I set custom rules for specific customer requirements?

Absolutely. You can configure custom allocation rules based on customer preferences, delivery commitments, product types, and service level agreements. The platform respects these business rules while applying AI optimization within your defined parameters.

How does the platform learn and improve carrier selection over time?
Our machine learning algorithms continuously analyze carrier performance data, delivery outcomes, and cost effectiveness to refine selection criteria. The system learns from historical patterns and real-time feedback to improve allocation accuracy and optimize future shipping decisions.
This is a staging environment