How AI Freight Allocation Engines Work with Linbis

Choosing the right carrier for each shipment is one of the most critical decisions in logistics. Traditionally, operations teams compare rates, availability, and service levels manually—wasting time and risking suboptimal choices.
How AI Freight Allocation Engines Work with Linbis

Introduction

With AI freight allocation engines, Linbis automates this process. By analyzing real-time data, customer priorities, and carrier performance, the system automatically assigns the best option for each shipment—reducing costs and improving service reliability.

Step 1: Collect Allocation Data

Linbis integrates data from:

  • Carrier rates and contracts → base tariffs, fuel surcharges, discounts.

  • Shipment details → weight, volume, priority level.

  • Customer requirements → delivery time, special handling.

  • Carrier performance → reliability, transit times, claims history.

Step 2: Apply AI Allocation Rules

The AI engine evaluates all factors simultaneously:

  • Lowest cost carrier for general shipments.

     

  • Fastest option for time-critical cargo.

     

  • Best reliability score for high-value freight.

     

  • Balanced distribution to avoid overloading one carrier.

     

Apply AI Allocation Rules

Step 3: Automate Carrier Assignment

  • Shipment enters Linbis TMS.

     

  • AI freight allocation engine instantly assigns the best carrier.

     

  • Operations team receives confirmation and can override if needed.

     

Step 4: Trigger Workflow Automation

Once carrier is selected, Linbis automatically:

  • Sends booking to carrier.

  • Updates customer portal with assigned carrier.

  • Generates shipment documents.

Step 5: Monitor and Optimize

  • AI monitors shipment execution.

  • If carrier underperforms → system adjusts future allocations.

  • Continuous learning improves allocation accuracy.

Monitor and Optimize

Advanced Features

  • Multi-modal support → Trucking, ocean, air.

  • Dynamic reallocation → If carrier cancels, AI finds alternatives instantly.

  • Custom business rules → Prioritize preferred carriers or eco-friendly options.

  • Profit margin optimization → Choose allocations that maximize profitability.

Real-World Example 🚛

A freight forwarder in Los Angeles deployed AI freight allocation with Linbis. In 3 months:

  • Reduced freight costs by 12%.

     

  • Increased on-time deliveries by 20%.

     

  • Freed up operations teams from manual carrier selection.

     

Real-World Example

Benefits 📈

  • Efficiency: Instant carrier assignments save hours daily.

  • Cost Savings: AI selects the most economical option.

  • Reliability: Higher delivery success rates.

  • Scalability: Works across thousands of shipments.

  • Customer Value: Faster, more consistent service.

Conclusion

With AI freight allocation engines in Linbis, logistics companies eliminate manual carrier selection, reduce costs, and improve service. AI ensures every shipment is matched with the best carrier—turning allocation into a smart, automated workflow.

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