Smart Deliveries: New Loads Allocation Procedure​

A leading global building materials manufacturer initiated an AI-driven transformation of its Transport Management Execution process to optimize carrier allocation, reduce logistics costs, and improve contractual compliance through intelligent load assignment and autonomous decision support.
Load allocation time
120
Daily loads per plant
+75
Active carriers managed
~4.2%
Cost reduction achieved
From Manual Allocation to Intelligent Optimization
Carrier load allocation within Transport Management Execution was managed manually, requiring contract reviews and rate comparisons. Increasing order volumes created administrative overload, scalability constraints, and limited analytical visibility across carriers and commitments.
Objectives
Leverage AI to automate carrier allocation decisions, ensure contractual compliance, minimize logistics costs, and enable continuous improvement within the Transport Management Execution process.
Opportunity

By integrating AI-powered contract reading, commitment optimization, and cost-based allocation logic, the organization could reduce allocation time, improve carrier distribution fairness, and unlock measurable logistics cost efficiencies.

AI-Driven Transport Allocation Engine

Proven delivery of autonomous load assignment capabilities integrating contract data extraction, rate optimization, and commitment compliance within a scalable Transport Management Execution framework.

Key Challenges
Manual carrier assignment processes
Limited scalability with increasing load volumes
Suboptimal commitment and penalty management
Low analytical visibility across allocation decisions
Solution
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Designed and implemented AI-powered contract reading. Enabled automated extraction of key contractual parameters including daily commitments, destination types, penalties, and rates.

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Developed intelligent carrier allocation engine. Created algorithmic load matching prioritizing cost efficiency, destination compliance, and contractual commitments.

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Integrated autonomous decision-support workflows. Deployed smart alerts and recommendation capabilities to assist planners in real-time allocation decisions.

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Validated solution through proof of concept. Executed a 12-week PoC assessing allocation optimization, cost impact, and contractual compliance performance

Impact
Optimized Logistics Cost and Compliance

Reduced carrier allocation cycle time significantly

Improved contractual commitment adherence across carriers

Lowered logistics costs through optimized rate prioritization

Enhanced scalability of transport planning operations

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