Skip to main content

SOLUTIONS

Carrier Selection Recommendation


Carrier-selection-recommendation

Profitability-First Carrier Assignment

PartnerLinQ’s Carrier Selection Recommendation App replaces manual carrier assignment with intelligent, data-driven suggestions, ensuring optimal selection for efficient delivery while maximizing profitability. 

PartnerLinQ provides complete ecosystem that delivers on this vision through four core capability pillars:

End-to-End-Connectivity

End-to-End
Connectivity

Provides Seamless Integration with existing logistics and shipment management systems for streamlined operations.

Granular-Control-Towers

Unified Data
Model

Assortment logic, customer segment data, and historical performance reside on a single platform, eliminating the "siloed financial vs operational planning" challenge. 

Agentic-AI-Services

AI-Driven
Intelligence

Utilizes Historical Data Analysis (weights, volumes, routing patterns) to predict optimal carrier performance and profitability for future loads.

The-Composable-Enterprise

Composability & Flexibility

The modular architecture facilitates Real-Time Updates of carrier performance data, ensuring recommendations are always based on the latest history.

Industries

  • Transportation & Logistics
  • Distribution & Wholesale
  • Retail
  • Manufacturing

Features & Capabilities

The Carrier Selection Recommendation App offers a robust set of features to automate, analyze, and optimize carrier assignments based on a deep understanding of historical logistics performance. 

  • Historical Data Analysis: Utilizes past shipment data, including weights, volumes, and preferred carriers, to make recommendations. 

  • Vendor Performance Evaluation: The system analyzes historical shipment data, including shipment charges, profit margins, and historical vendor reliability, to evaluate vendor performance and profitability. 

  • Service Mode Identification: Automatically identifies and categorizes shipments as Less Than Truckload (LTL) or Full Truckload (FTL) based on shipment details (weights and volumes). 

Business-Process
  • Data-Driven Carrier Recommendation: Suggests the most suitable carrier for each shipment, ensuring optimal selection that considers the complexity of the shipment. 

  • Optimized Routing Pattern Analysis: Leverages historical routing patterns to ensure the suggested carrier aligns with the most efficient path for the specific destination. 

  • Customizable Criteria Weighting: Allows users to define specific parameters (e.g., cost, delivery time) to tailor recommendations, balancing customer needs and profitability. 

Business-Process
Extensibility

Technology

As an Intelligent Operations App, this solution is built on PartnerLinQ’s modern, composable architecture, ensuring speed, scalability, and seamless integration with existing transportation systems.

  • Cloud-Native & Multi-Cloud Architecture: The scalable architecture is built for rapid data processing required to perform Historical Data Analysis on high volumes of shipment records. 

  • Composability: Built on an API-first and microservices architecture, the platform provides the extensibility to integrate various data feeds (TMS, WMS, external carrier APIs) for seamless integration. 

  • Extensive Prebuilt Adapters: We offer prebuilt, composable integration adapters for over 80 enterprise application platforms, facilitating the ingestion of Historical Shipment Data for model training from TMS. 

  • Real-Time Performance Feed: The technology supports the Continuous updates of carrier performance data necessary to maintain recommendation validity. 

User Experience

The user experience for Carrier Selection Recommendations is centered on Data-Driven Decision Making and Exception-Based Management to significantly reduce manual effort. 

  • Recommendation Scorecard: Presents the most suitable carrier suggestion alongside a clear rationale based on the chosen Customizable Criteria (cost vs. reliability score). 

  • Historical Performance Insights: Provides quick access to the underlying historical data—weights, volumes, and preferred carrier success rates—that informed the recommendation. 

  • Configuration Management: Features an intuitive interface to easily adjust and manage the Customizable Criteria that tailor the carrier recommendation strategy. 

  • Service Mode Visualization: Clearly displays the automatic classification of the shipment (LTL or FTL), providing immediate context for the selection. 

UI-design
End-Result-Business-Benefit

End Result & Business Benefit

The Carrier Selection Recommendation App delivers verifiable improvements in logistics efficiency and financial performance by turning historical data into prescriptive action.

  • Improved Efficiency: Ensures shipments are routed through the most efficient carriers, reducing delays and optimizing delivery times. 

  • Data-Driven Decision Making: Ensures that carrier selection is based on objective insights from historical shipment data, leading to better-informed decisions that balance customer needs and profitability. 

  • Cost Savings: Realizes cost savings by recommending the most cost-effective option for LTL and FTL shipments based on past vendor profitability. 


PartnerLinQ gives you the precision, agility, and control to turn seasonal volatility into a competitive advantage.
Contact us to schedule a demo and see the difference.

Other Related Solutions from PartnerLinQ 


FAQs

The system uses Historical Data Analysis to evaluate vendors based on a balance of profitability (cost-effectiveness) and reliability (historical vendor reliability). Users can also set Customizable Criteria to weight cost or delivery time preference.

The application automatically identifies and categorizes the service mode (LTL, FTL, or simple package) by performing a deep analysis of the weights and volumes of past shipments and the specific Shipment Terms and Classification.

he model requires historical data ingestion from the TMS, including Manifest Details, Shipment Windows, Account and Vendor Information, Shipment Terms, and expected dates to ensure accurate training and vendor performance evaluation.

By automating the complex analysis and providing a single, prescriptive Carrier Recommendation, the system allows logistics teams to focus on managing exceptions rather than manually reviewing rates and performance for every shipment.

Yes. The system's analysis explicitly considers shipment charges and profit margins in addition to historical reliability to ensure recommendations reflect a balance between customer needs and the brand's financial goals.

How resilient and agile is your supply chain?

If you encounter unexpected disruptions, lack of automation, and changing consumer attitudes, you’re not alone.

PartnerLinQ makes it easy to integrate with legacy and cloud-based systems that allow you to increase productivity across your business’s workflows.

Want to see how PartnerLinQ connects all your information sources, including XML, JSON, EDI and Non-EDI, to reduce manual work substantially?

Request a Demo Group-